Author: admin

  • Brainomix Stroke AI Software Hailed as ῾Revolutionary,’ Helping More Patients Fully Recover

    Brainomix Stroke AI Software Hailed as ῾Revolutionary,’ Helping More Patients Fully Recover

    OXFORD, England and CHICAGO, Sept. 3, 2025 /PRNewswire/ — Brainomix, a global leader and pioneer of AI-powered imaging tools in stroke and lung fibrosis, has garnered widespread media attention1 this week following a renewed focus on the impact of its Brainomix 360 Stroke technology to improve recovery rates for stroke patients.

    A study published by the Royal Berkshire Hospital demonstrated that Brainomix software tripled the number of stroke patients achieving functional independence, from 16% to 48%. Additional data from the largest real-world evaluation of stroke AI imaging showed that Brainomix 360 Stroke was associated with a more than 50% increase in mechanical thrombectomy, a life-changing stroke treatment.

    Brainomix 360 Stroke is a comprehensive platform powered by highly advanced AI algorithms, supporting clinicians by providing real-time interpretation of brain scans to help guide treatment and transfer decisions for stroke patients in both specialist and general hospitals.

    David Hargroves, the NHS Clinical Director for Stroke, said: “This AI decision support technology is revolutionizing how we help people who have been affected by stroke. It is estimated a patient loses around 2m brain cells a minute at the start of a stroke, which is why quick diagnosis and treatment is so critical. AI decision support software provides real-time interpretation of patients’ brain scans – supporting expert doctors and other NHS staff to make faster treatment decisions.”

    Dr Michalis Papadakis, CEO and Co-Founder at Brainomix, said: “Brainomix is helping clinicians every day improve the level of care they can deliver to stroke patients in the UK and worldwide. We are delighted to see a focus on the unique and powerful impact that our technology is having on patient outcomes, validated by an expanding base of published, real-world evidence.”

    Brainomix is widely recognised as one of the UK’s most successful AI healthcare companies, having developed its technology through commercial scale up to market launch, and having secured a number of successful partnerships with NHS England and The Health Innovation Network.

    Brainomix 360 Stroke has been deployed widely across the UK and Europe, where it is the established market leader, and in the United States, where it has been validated by a number of world-class stroke institutions and exhibiting a similar clinical impact on stroke care.

    1 The Times, The Guardian, The Telegraph, The Daily Mail, The Independent, The Sun, The Mirror

    Notes to Editors

    About Brainomix

    Brainomix specializes in the creation of AI-powered software solutions to enable precision medicine for better treatment decisions in stroke and lung fibrosis. With origins as a spinout from the University of Oxford, Brainomix is an expanding commercial-stage company with offices in the UK, Ireland and the USA, and operations in more than 20 countries. A private company, backed by leading healthtech investors, Brainomix has innovated award-winning imaging biomarkers and software solutions that have been clinically adopted in hundreds of hospitals worldwide. Its first product, the Brainomix 360 stroke platform, provides clinicians with the most comprehensive stroke imaging solution, driving increased treatment rates and improving functional independence for patients.

    To learn more about Brainomix and its technology visit www.brainomix.com, and follow us on TwitterLinkedIn and Facebook.

    Contacts

    Jeff Wyrtzen, Chief Marketing Officer
    [email protected]
    T +44 (0)1865 582730

    Media Enquiries

    Charles Consultants
    Sue Charles
    [email protected]
    M +44 (0)7968 726585

    Image – https://mma.prnewswire.com/media/2763605/Brainomix_360_Stroke.jpg

    SOURCE Brainomix


    Continue Reading

  • Cosmic First: Baby Planet Found Actively Growing, Feeding In Ring Gap Around Young Star – Study Finds

    1. Cosmic First: Baby Planet Found Actively Growing, Feeding In Ring Gap Around Young Star  Study Finds
    2. Discovery of the first ring-shaping embedded planet around a young solar analog  Astronomie.nl
    3. ‘A remarkable discovery’: Astronomers find 1st exoplanet in multi-ring disk around star  Space
    4. Why all the excitement about a baby planet discovered by Irish scientists?  The Irish Times
    5. A newborn planet munches on gas and dust surrounding its host star  Science News

    Continue Reading

  • Women’s Rugby World Cup: World Rugby says big defeats inevitable on path to professionalism’

    Women’s Rugby World Cup: World Rugby says big defeats inevitable on path to professionalism’

    Minnows such as Brazil and Samoa will benefit from playing at the World Cup despite suffering a series of heavy defeats at the tournament, says World Rugby.

    Brazil, the lowest-ranked team at the tournament, were beaten 84-5 by France on Sunday after a 66-6 loss to South Africa in their opening match.

    Samoa have conceded a total of 165 points and scored only three in their matches against Australia and England so far.

    However, Sally Horrox, chief of Women’s Rugby at World Rugby, says such scorelines will happen with teams at different stages of professionalisation.

    “We acknowledge that competitiveness is a talking point, and so it should be, but we also must remember the context – the relative youth of the women’s game,” she said.

    “The men’s professional game is 30 years old and we are in the very early stages, relatively, of that professional development of the women’s game.

    “We made an intentional decision to expand the Rugby World Cup from 12 to 16 teams in full knowledge that that would give more exposure to teams like Fiji, Samoa, Spain and Brazil.

    “Their performance on the biggest stage is critical for their national pride, but also to attract fans, commercial investment and government investment to drive the teams and game forward.”

    Hosts and tournament favourites England have 32 centrally contracted players, with a pool of others paid by their Premiership Women’s Rugby clubs.

    Brazil and Samoa are at the opposite end of the spectrum with mostly amateur squads, some of whom are crowd-funding to cover the cost of stepping away from their regular jobs.

    The inclusion of sevens in the Olympics since Rio 2016 triggered government financial support in many countries and it is hoped that including developing teams on the biggest XV-a-side stage, along with specialist coaches and support from World Rugby, will further fuel their growth.

    There are also plans to relaunch the annual WXV competition, for international sides, to guarantee emerging nations more regular competition against teams of a similar standard.

    The most recent men’s Rugby World Cup also featured several blow-out scorelines, with France and Scotland putting 96 and 84 unanswered points on Namibia and Romania respectively in 2023.

    At the 1995 Rugby World Cup, just before the men’s game officially turned professional, New Zealand scored 21 tries as they beat Japan 145-17. In 2019, Japan reached the last eight as hosts.

    “Not all boats are rising at the same level at the same time, but the tide is rising very fast and rising for all,” said World Rugby chief executive Alan Gilpin.

    Continue Reading

  • Ordinary ice generates electricity when bent or twisted

    Ordinary ice generates electricity when bent or twisted

    Ice does not usually show up in conversations about electricity. A new study reports that ordinary frozen water generates electric charge when it bends, and the measured response is on the same order as benchmark electroceramics such as titanium dioxide and strontium titanate.

    The research also links this behavior to how storms build up charge, offering a fresh way to think about why lightning starts inside clouds. It adds a surface twist at extremely low temperatures that could matter in special environments.

    Ice and flexo-electricity


    Scientists call this effect flexo-electricity, the coupling between electric polarization and strain gradients in an insulator. A comprehensive review explains why any solid can show some flexoelectric response when it is bent unevenly or shaped with strong curvature.

    This is not the same as being piezoelectric, which requires a crystal structure that lacks inversion symmetry and creates charge directly under uniform compression or tension. Flexo-electricity does not need that symmetry break, so it can appear in materials that fail the piezoelectric test.

    Dr. Xin Wen of the Catalan Institute of Nanoscience and Nanotechnology (ICN2), located on the Universitat Autonoma de Barcelona campus, helped lead the experiments and modeling. The team combined precise bending tests with theory to tie the electrical signal to the mechanical shape of the ice.

    Testing a slab of ice

    The researchers shaped an ice slab, placed it between metal plates, then bent it in a controlled way while monitoring the voltage that appeared. The signal tracked how strongly the slab curved, which is exactly what flexo-electricity predicts.

    “We discovered that ice generates electric charge in response to mechanical stress at all temperatures,” said Dr. Wen.

    The tests showed that ice keeps producing a strong electrical signal across the whole range of temperatures where it stays solid, right up until it melts. That puts frozen water in the same league as some engineered materials, like certain oxides, that are commonly used in electronic sensors and capacitors.

    At extremely low temperatures, the researchers also noticed a very thin surface layer of ice that could flip its electrical orientation when an outside electric field was applied. This layer acts like a ferroelectric, but only on the surface and not throughout the entire block of ice.

    Ice interacting with its environment

    Surface structure can dramatically change how ice interacts with its surroundings. In thunderclouds, tiny ice crystals crash into soft hailstones known as graupel, and those collisions shift electric charge from one particle to another.

    Studies in the lab and in real storms have shown that these encounters separate charge in ways that depend on temperature, building up the electric fields that allow lightning to form.

    Flexo-electricity offers an additional microphysical pathway for those particles to charge up during bouncy, irregular impacts that bend and twist their surfaces. The new measurements match the scale of charge transfers inferred for real collisions, which helps knit lab physics to storm electrification without requiring piezoelectricity.

    A clear overview from NOAA outlines how separate charge regions form in a storm, build an electric field, and finally trigger a lightning discharge. The present work slides a mechanical bending effect into that picture, adding a way for collisions to do electrical work when particles deform unevenly.

    This matters most in the mixed phase region of a storm where supercooled droplets coat graupel and ice crystals ricochet through updrafts. Nonuniform stresses there are normal, so a bending driven mechanism is a natural candidate.

    Ice powers new electricity tech

    Ice is cheap to make, it molds into shapes easily, and it is abundant in cold places. Flexoelectric transduction could let engineers build simple sensors or pressure to voltage converters in situ, using water and metal contacts without high temperature processing or rare elements.

    Devices would not be limited to extreme cold, since the flexoelectric response persists up to the melting point. Designs would focus on geometry, because stronger curvature and sharper gradients usually drive larger signals in flexoelectric systems.

    The ferroelectric surface layer at about -171°F raises interesting options for switching behavior in deep cold. It could enable memory-like responses in polar regions or high altitude labs, where a modest electric field flips the surface polarization while the interior remains nonpolar.

    Electricity lessons from ice

    Flexo-electricity turns uneven bending into electrical charge, even in a material long treated as electromechanically quiet under uniform pressure.

    Ice now joins the small set of everyday materials proven to convert mechanical shape changes into measurable voltage. In storm physics, it emerges as a credible new factor working alongside well-known non-inductive charging processes.

    Charge generated by bending fits naturally with the chaotic collisions of particles, linking lab findings to the electric dynamics of real clouds.

    The study is published in the journal Nature Physics.

    —–

    Like what you read? Subscribe to our newsletter for engaging articles, exclusive content, and the latest updates. 

    Check us out on EarthSnap, a free app brought to you by Eric Ralls and Earth.com.

    —–

    Continue Reading

  • Stocks highlighted in analyst calls include Apple, Alphabet and Nvidia

    Stocks highlighted in analyst calls include Apple, Alphabet and Nvidia

    Continue Reading

  • Iraq humiliate Pakistan in AFC U23 Qualifiers

    Iraq humiliate Pakistan in AFC U23 Qualifiers

    Iraq produced a devastating second-half performance to crush Pakistan 8–1 in their AFC U23 Asian Cup Qualifiers opener at the Olympic Stadium, Phnom Penh, on Wednesday.
    The game was competitive for the first hour, with Pakistan showing resilience to trail only 1–0 at the break. Iraq’s Amoori Faisal had converted a 33rd-minute penalty to open the scoring after relentless pressure, but Pakistan’s backline held firm otherwise.
    Just three minutes into the second half, Ali Jasim doubled Iraq’s lead, but Pakistan struck back through McKeal Abdullah in the 61st minute. The striker’s composed finish made it 2–1, briefly igniting hope for the Green Shirts.
    However, Iraq responded mercilessly. Jasim completed his brace within six minutes, extending the lead to 3–1 and then 4–1. With Pakistan unable to contain the waves of attacks, A. Aiad, Dhulfiqar Younis Al-Imari, and Ali Sadiq all added late goals, piling further misery on the Pakistan defense. By stoppage time, the scoreboard reflected a humbling 8–1 defeat for the Men in Green.
    The result cements Iraq at the top of Group G, putting them in a commanding position to qualify for next year’s final tournament in Saudi Arabia. For Pakistan, who sit bottom of the group, the challenge now is to recover quickly with crucial fixtures ahead.
    They next face hosts Cambodia on September 6, before meeting Oman on September 9, needing points from both matches to keep faint hopes of qualification alive.
    For now, though, Iraq’s ruthlessness underlined the gulf in quality, while Pakistan will be left rueing a collapse that turned a respectable fight into a heavy defeat.

    Continue Reading

  • Scientists have created rechargeable, multicolored, glow-in-the-dark succulent plants

    Scientists have created rechargeable, multicolored, glow-in-the-dark succulent plants

    Glow-in-the-dark plants bright enough to light up streets at night may sound like the stuff of science fiction or fantasy.

    But scientists have already made plants that emit a greenish glow. They are even commercially available in the United States.

    A group of Chinese researchers has just gone even further, creating what they say are the first multicolored and brightest-ever luminescent plants.

    “Picture the world of Avatar, where glowing plants light up an entire ecosystem,” biologist Shuting Liu, a researcher at South China Agricultural University in Guangzhou and co-author of the study published August 27 in the journal Matter, said in a statement.

    “We wanted to make that vision possible using materials we already work with in the lab. Imagine glowing trees replacing streetlights,” she added.

    To make the plants glow, Liu and her fellow researchers injected the leaves of the succulent Echeveria “Mebina” with strontium aluminate, a material often used in glow-in-the-dark toys that absorbs light and gradually releases it over time.

    This method marks a departure from the traditional gene-editing technique that scientists use to achieve this effect, following a model pioneered by a team at the Massachusetts Institute of Technology.

    Injecting a plant with nanoparticles instead of editing its genes allowed the researchers to create plants that glow red, blue and green. Normally, constrained by the plant’s natural color, scientists can only create a green glow.

    “Gene editing is an excellent approach,” Liu told CNN in an email Tuesday, but added: “We were particularly inspired by inorganic afterglow materials that can be ‘charged’ by light and then release it slowly as afterglow, as well as by prior efforts on glowing plants that hinted at plant-based lighting — even concepts like plant streetlights.”

    “Our goal was therefore to integrate multicolor, long-afterglow materials with plants to move beyond the usual color limits of plant luminescence and provide a photosynthesis-independent way for plants to store and release light —essentially, a light charged, living plant lamp,” she added.

    The green wall produced enough light to allow researchers to see text and images in the dark.

    The research team attempted to show the practical application of their idea by constructing a green wall made of 56 plants that produced enough light to see text, images and a person located up to 10 centimeters (four inches) away, according to the study.

    Once injected and placed under direct sunlight for a couple of minutes, the plants continued to glow for up to two hours.

    While the brightness of the afterglow gradually weakened during that time period, “plants can be recharged repeatedly by exposure to sunlight,” Liu said, replenishing the plants’ stored energy and “allowing the plants to continue glowing after the sunlight is removed.”

    The plants maintain the ability to emit the afterglow effect 25 days after treatment, Liu said, and older leaves injected with the afterglow particles continue to emit light under UV stimulation “even after wilting.”

    While strontium aluminate can readily decompose in plants, posing harm to plant tissue, Liu said, the scientists developed a chemical coating for the material that acts as a protective barrier.

    The researchers said in the paper that they see their findings as highlighting “the potential of luminescent plants as sustainable and efficient lighting systems, capable of harvesting sunlight during the day and emitting light at night.”

    However, other scientists are skeptical about the practicality. “I like the paper, it’s fun, but I think it’s a little beyond current technology, and it might be beyond what plants can bear,” biochemist John Carr, a professor of plant sciences at the University of Cambridge, who was not involved in the study, told CNN.

    “Because of the limited amount of energy that these plants can emit, I don’t really see them as streetlights anytime soon,” he added.

    Liu acknowledged that the plants “are still far from providing functional illumination, as their luminescence intensity remains too weak for practical lighting applications. Additionally, the safety assessment of afterglow particles for both plants and animals is still ongoing.”

    She said the luminescent plants currently “can primarily serve as decorative display pieces or ornamental night lights.”

    However, Liu added, “Looking ahead, if we can significantly enhance the brightness and extend the duration of luminescence — and once safety is conclusively demonstrated — we could envision gardens or public spaces being softly illuminated at night by glowing plants.”

    Sign up for CNN’s Wonder Theory science newsletter. Explore the universe with news on fascinating discoveries, scientific advancements and more.


    Continue Reading

  • Comet: A New Medical Intelligence for Clinical and Operational Insights 

    Comet: A New Medical Intelligence for Clinical and Operational Insights 

    You can read more about the methods and early evaluation results in this paper on arxiv, written in collaboration with researchers from Yale and Microsoft.

    Every day, clinicians make decisions without knowing exactly what will happen next.

    • A patient presents with abdominal pain, and the clinician needs to decide whether the patient should be admitted, sent home, or referred for further imaging.  
    • A hospitalized patient is improving, but will an early discharge result in them being readmitted in the next few days?

    These kinds of questions are central to clinical workflows but can be clouded by uncertainty.

    Comet, built on Epic Cosmos, simulates likely paths in a patient’s health journey to help care teams plan accordingly. It is trained on a subset of Cosmos data, validated on key use cases, and designed to improve as more data and additional data types are included.

    What Comet Is and How It Works

    Comet models are trained on sequences of time-ordered medical events, including diagnoses, labs, medications, and encounters, spanning millions of de-identified patient records and more than 100 billion data points.

    Using the same core technology as today’s large language models, Comet learns how clinical patterns evolve over time. When given a patient’s current state, it generates a number of plausible future timelines that reflect real-world complexity: diagnoses resolving or emerging, complications arising, and care needs shifting.

    These simulations from Comet will be summarized into insights and presented to clinicians in workflows to provide a quantitative, data-driven view of what is likely to happen next, helping care teams anticipate and act.

    Designed for Security

    Comet is built entirely within Epic Cosmos, a secure, collaborative data platform designed for large-scale health research and innovation. Cosmos uses de-identified patient data and operates under rigorous privacy, security, and compliance standards. Because Cosmos is updated as care is delivered, the data powering Comet reflects evolving clinical practices and emerging trends across diverse health systems.

    Operating within this governed environment, Comet can surface insights to participating health systems without compromising patient privacy. The platform’s architecture enables shared learning across the network while preserving privacy and security. Comet will undergo case-by-case evaluation to ensure performance is appropriate for specific workflows before being integrated into daily use.

    For Patients, Clinicians, and Health Systems

    Comet will be able to simulate a patient’s likely future trajectory and summarize key insights, such as extended hospitalization, 30-day readmission, ASCVD risk, or emergence of conditions like pancreatic cancer. In 78 early evaluations, Comet outperformed the majority of single-task models, with more that had similar performance. As more data types are incorporated and the model scales, performance will continue to improve, enabling even more precise and actionable insights across care settings.

    Starting in February 2026, researchers from Cosmos participating organizations will be able to explore Comet in a virtual lab to test new use cases and help advance its clinical relevance.

    And this is only the beginning. As simulation-based insights become part of everyday healthcare, they open the door to a new kind of care planning: anticipatory rather than reactive, personalized rather than generalized, and data-informed at every level. From use in the emergency department to case management, the future of clinical decision-making is not about finding a single answer; it is about understanding the range of what is possible and being ready for all of it, allowing teams to plan with greater confidence, distribute resources more effectively, and, ultimately, improve the lives of the patients they serve.

    Read the full article from arxiv.

    Continue Reading

  • Comprehensive Care and Follow-Up for Patients Post–CAR T Infusion

    Comprehensive Care and Follow-Up for Patients Post–CAR T Infusion

    The patient demonstrated an excellent response to CAR T therapy, achieving complete remission with MRD-negative status, representing the deepest possible remission achievable. Her treatment response included normalized light chains, disappearance of the M spike, and bone marrow cleared of plasma cells. Following IVIG therapy to boost her immune system, she experienced immediate improvement with immune markers rising the very next day. Her overall quality of life has significantly improved, with better stamina, less fatigue, and the ability to engage in activities like yard work, though she humorously noted that being tired in the mornings is likely unrelated to her cancer treatment.

    When comparing CAR T therapy with her previous stem cell transplant experience, the patient found CAR T considerably more manageable and less physically demanding. The treatment required only 3 days of what she described as “light chemotherapy” compared with the intensive regimen associated with stem cell transplantation. This easier treatment experience combined with the prospect of avoiding continuous daily chemotherapy that would be required with standard care approaches made CAR T particularly appealing to her as a treatment option.

    The patient expressed profound gratitude for discovering CAR T therapy and emphasized her preference for healing over continuous treatment that could potentially harm her body. She articulated a powerful perspective about wanting to “be healed and move on with life” rather than enduring indefinite chemotherapy that might continue damaging her body even while potentially controlling the disease. Her philosophy centered on the desire for treatment that promotes healing rather than ongoing intervention, viewing CAR T as providing an opportunity to achieve lasting remission without the burden of continuous chemotherapy. This perspective highlights the transformative impact CAR T can have not only on disease control but also on patients’ overall approach to living with and beyond cancer.

    Continue Reading

  • Global Burden of Major Urologic Diseases in Women, 1990–2021: A Syst

    Global Burden of Major Urologic Diseases in Women, 1990–2021: A Syst

    Introduction

    Urologic diseases represent a major public health concern for women worldwide.1 These include both nonmalignant and malignant conditions such as urinary tract infections (UTIs), urolithiasis, kidney cancer, and bladder cancer, which are highly prevalent and associated with substantial morbidity and disability. Although urologic trauma related to obstetric complications is an important issue in some low-resource settings, data on its burden remain limited.2 Accordingly, this study focuses on four major urologic diseases in women: UTIs, urolithiasis, kidney cancer, and bladder cancer. UTIs affect more than 40% of women during their lifetime, with Escherichia coli being the most common pathogen.3,4 A prior history of urinary tract infections is one of the strongest risk factors for future UTIs.5 Approximately 30% of women experience recurrent infections within six months. Rising antimicrobial resistance has diminished the effectiveness of standard antibiotic treatments, prompting interest in alternative preventive strategies, such as vaginal estrogen and lactobacillus-containing probiotics in postmenopausal women.6 Meanwhile, the burden of urolithiasis has also increased, particularly among women.7 Compared to nulliparous women, pregnant women under 50 years of age face more than double the risk of stone formation.8 Contributing factors include metabolic syndrome, dietary habits, weight loss interventions, hypercalciuria, and environmental and socioeconomic conditions, all of which have been linked to elevated risk of stone recurrence.9–11

    Kidney and bladder cancers are two other urologic diseases with rising incidence in women. Kidney cancer is now the ninth most common cancer among women globally, with incidence rates increasing by 2–3% per year between 2015 and 2019.12 Alarmingly, mortality rates for kidney cancer are twice as high in Native American individuals compared to individuals of White descent.13 Risk factors for kidney cancer include smoking, alcohol consumption, overweight or obesity, and hypertension.14 For bladder cancer, smoking remains a major modifiable risk factor, responsible for approximately 50% of cases in men and 40% in women in the United States.1 While the overall incidence and mortality remain higher in men, women who are active or passive smokers still face significant risk.15 Additionally, emerging evidence implicates occupational exposures, specific dietary habits, microbiome dysbiosis, gene–environment interactions, diesel exhaust, and pelvic radiotherapy in bladder cancer development.16 These disparities highlight the complex interplay of biological, behavioral, and social factors in shaping disease burden.

    Despite the considerable health impact of these urologic diseases, up-to-date, sex-specific epidemiological data are scarce. Regional and national differences in incidence and outcomes are influenced by healthcare access, sociodemographic development, and environmental exposures.17 To address this gap, we used data from the Global Burden of Disease Study 2021 to systematically evaluate the incidence and disability-adjusted life years (DALYs) of UTIs, urolithiasis, kidney cancer, and bladder cancer in women across 204 countries and territories from 1990 to 2021.18–20 This analysis aims to uncover global patterns and temporal trends of four major urinary conditions in women to support evidence-based public health strategies and inform future research and clinical practice.

    Patients and Methods

    Data Source and Screening

    This study utilized data from the Global Burden of Disease (GBD) Study 2021, which systematically estimates the incidence, mortality, DALYs, and age-standardized rates for 371 diseases and injuries across sexes, age groups, and 204 countries and territories worldwide.18 GBD 2021 employed three core analytical tools—Cause of Death Ensemble Model (CODEm), Spatiotemporal Gaussian Process Regression (ST-GPR), and DisMod-MR 2.1—to synthesize data and generate consistent estimates of disease burden.18,20

    For the present analysis, we extracted data specific to four major urologic diseases in women—urinary tract infections, urolithiasis, kidney cancer, and bladder cancer. We extracted global-level data to analyze overarching trends. For more detailed national and subregional comparisons, we selected Western Europe, China, and North Africa and the Middle East as representative regions based on their geographic diversity, data availability, and distinct epidemiological profiles of urologic diseases. “Incidence” and “DALYs” were chosen as the primary measures of disease burden. To provide a comprehensive overview, we examined age- and year-specific incidence and DALY rates for each of the four conditions across the selected regions.

    The Socio-demographic Index (SDI), a composite indicator reflecting income per capita, average educational attainment, and fertility rates, was included to account for variations in development level, given its strong association with health outcomes.21 Using GBD 2021 data, countries and territories were categorized into five groups based on SDI: high, high-middle, middle, low-middle, and low. Additionally, the Human Development Index (HDI), a composite measure of overall human development obtained from the United Nations Development Programme, was employed.22 Correlation analyses between GBD data and HDI were conducted to examine the relationship between human development and disease burden.23 Risk factor attribution was based on the GBD’s comparative risk assessment framework, which comprises six key steps to estimate the proportion of disease burden attributable to modifiable risk exposures.24 This framework enabled further insight into the global patterns and drivers of urologic disease burden in women.

    Statistical Analysis

    The age-standardized rate (ASR), was used to account for differences in age structures between populations and over time. It was calculated using the following formula:


    In the equation, i represents the age-specific rate in the ith age group, and wi denotes the count of individuals in the same age group based on the GBD 2021 standard population.18

    To evaluate temporal trends in the burden of urologic diseases in women, we calculated the estimated annual percentage change (EAPC) in age-standardized incidence rate (ASIR) and age-standardized DALY rate (ASDR) from 1990 to 2021.25 EAPC was derived from a linear regression model fitted to the natural logarithm of the ASR, specified as:


    EAPC was then defined as:


    The 95% confidence interval (CI) of the EAPC was also obtained from the regression model.26 We interpreted a trend as statistically significant if both the EAPC and its 95% CI were either entirely above or entirely below zero. If the 95% CI included zero, the trend was considered statistically insignificant.

    Finally, to project trends through 2046, we conducted an age–period–cohort (APC) analysis using the “Nordpred” package in R. This approach considers both demographic changes and temporal trends and has been well-established in previous studies.27 All statistical analyses were performed using R software (version 4.3.2), and rates were expressed per 100,000 population. Statistical significance was determined using a p value of <0.05.

    Results

    Global and Regional Patterns in the Burden of Urologic Diseases in Women

    In 2021, the global incidence of urologic diseases in women showed a notable increase. The estimated number of new cases was 35,718.97 × 105 for UTIs (95% UI: 31,808.47–39,914.82), 3,487.81 × 105 for urolithiasis (95% UI: 2,913.36–4,247.25), 13.52 × 105 for kidney cancer (95% UI: 12.41–14.42), and 12.26 × 105 for bladder cancer (95% UI: 10.82–13.39). To better capture temporal trends while accounting for population growth and changes in age distribution, age-standardized rates (ASRs) were utilized. Analysis of the ASIR and ASDR from 1990 to 2021 revealed heterogeneous trends across different diseases.

    The ASIR of UTIs remained relatively stable globally with EAPC of 0.03 (95% CI 0.02 to 0.05), whereas its ASDR generally declined with EAPC of −0.6 (95% CI: −0.76 to −0.25), except in China where a slight upward trend was observed. For urolithiasis, both the ASIR and ASDR declined steadily over the study period, with a global ASIR EAPC of −0.16 (95% CI −0.19 to −0.14) and ASDR EAPC of −0.26 (95% CI −0.35 to −0.08). In contrast, the ASIR for kidney cancer remained relatively stable with EAPC of 0.04 (95% CI −0.03 to 0.12), while its ASDR significantly decreased with EAPC −0.23 (95% CI −0.30 to −0.13). For bladder cancer, both ASIR and ASDR showed a favorable and consistent downward trend, with an ASIR EAPC of −0.15 (95% CI −0.22 to −0.07) and ASDR EAPC of −0.31 (95% CI −0.38 to −0.22). These results are detailed in Table 1.

    Table 1 Global Incidence and DALYs of Four Female Genitourinary Diseases from 1990 to 2021

    National and Subregional Trends in the Burden of Urologic Diseases in Women

    At the national level, the ASDR for UTIs has declined in most countries or regions worldwide, with China showing the most pronounced decrease (EAPC: –0.60; 95% CI: –0.76 to –0.25). In contrast, several countries in North Africa and South America, such as Argentina, Uruguay, and Kuwait, have experienced a rapid increase in ASDR (Figure 1A). For urolithiasis, the ASDR has increased in several countries, including Libya, Brazil, and Guyana, whereas Czechia recorded the fastest decline (EAPC: –0.73; 95% CI: –0.80 to –0.65) (Figure 1B). Regarding kidney cancer, although the ASDR is generally decreasing, the rate of decline is relatively modest. Sri Lanka leads in the reduction trend with an EAPC of –0.79 (95% CI: –0.87 to –0.67) (Figure 1C). As for bladder cancer, some countries show substantially faster declines in ASDR than others, with Mongolia, Mauritius, and Egypt ranking in the top three (Figure 1D). Overall, China stands out globally for achieving substantial reductions in the ASDR across all four major urologic diseases in women, with an EAPC of –0.60 (95% CI: –0.76 to –0.25) for urinary tract infections, –0.66 (95% CI: –0.76 to –0.40) for urolithiasis, –0.52 (95% CI: –0.67 to –0.32) for kidney cancer, and –0.33 (95% CI: –0.55 to –0.05) for bladder cancer.

    Figure 1 Global and regional variations in the EAPC of ASDR for urologic diseases in women. (A) Urinary tract infections. (B) Urolithiasis. (C) Kidney cancer. (D) Bladder cancer.

    Correlation Among EAPC, ASR, and HDI

    In the correlation analysis between the ASR and the EAPC from 1990 to 2021 for urologic diseases in women, a notable negative correlation was observed between the ASDR of UTIs and the corresponding EAPC in 1990 (cor=−0.3184, p<0.0001), while a positive correlation emerged by 2021 (cor=0.2299, p=0.0009) (Figure 2A). A similar trend was found for urolithiasis, with a negative correlation in 1990 (cor=−0.3376, p<0.0001) and a positive correlation in 2021 (cor=0.2236, p=0.0013) (Figure 2B). In contrast, for urologic cancers, including kidney and bladder cancer, significant negative correlations were noted in 1990 between ASIR/ASDR and EAPC, but no significant correlations were found in 2021 (Figure 2C and D). Regarding the association between EAPC and the Human Development Index (HDI) in 2021, a positive correlation was observed between the ASDR and EAPC for UTI (cor = 0.2546, p = 0.0013), and a negative correlation for bladder cancer (cor = –0.1810, p = 0.0233). No statistically significant associations were identified for other diseases (Figure 2E–H).

    Figure 2 Correlations of EAPC with ASR and HDI for urologic diseases in women. Panels (A–D) show the correlation between EAPC and ASRs in 1990 for urinary tract infections (A), urolithiasis (B), kidney cancer (C), and bladder cancer (D). Panels (E–H) show the correlation between EAPC and HDI in 2021 for the same diseases (E–H, respectively).

    Current Age-Specific Burden of Urologic Diseases in Women

    Figure 3 illustrates the global age-specific distribution of incidence and DALYs for four major urologic diseases in women in 2021. Non-neoplastic diseases displayed pronounced differences in age patterns. The incidence of UTIs peaked between ages 30–34, with approximately 37 million new cases. Conversely, urolithiasis peaked later, around ages 55–59, reaching nearly 50 million cases. Regarding incidence rates, UTIs demonstrated a bimodal distribution, with the first peak in middle-aged adults (25–54 years) and a second sharp increase among individuals older than 85, exceeding 10,000 per 100,000 population. The incidence rate pattern for urolithiasis mirrored its case distribution, peaking similarly in the 55–59 age group (Figure 3A).

    Figure 3 Global incidence and DALY counts and rates for urologic diseases in women by age group. (A) Incidence of non-neoplastic diseases. (B) DALYs of non-neoplastic diseases. (C) Incidence of neoplastic diseases. (D) DALYs of neoplastic diseases.

    The age distribution of DALYs for UTIs followed a bimodal trend, with a pronounced peak in the 15–24 age group, followed by a decline and then a second rise, reaching the highest burden in the 70–74 age group. In contrast, the DALYs burden for urolithiasis steadily increased until 55–59 years, then gradually declined. In terms of DALY rates, both UTIs and urolithiasis showed a general increase with age, with UTIs displaying a marked surge after age 85 (Figure 3B).

    Due to the life-threatening nature of kidney and bladder cancers, both diseases exhibited similar age-related patterns in incidence and DALYs. Peaks were observed in the 65–79 age range, with the burden consistently increasing with age. Notably, kidney cancer showed a minor uptick in incidence between ages 2–10, and the corresponding DALYs among individuals aged 2–19 showed a negative correlation with age (Figure 3C and D).

    Figure 4 presents the EAPC in age-specific DALY rates across different regions from 1990 to 2021. For UTIs, China experienced declines in all age groups, while many other regions, particularly high-middle SDI areas, showed a pattern of decreasing burden in younger groups and increasing burden in the oldest age groups, peaking at an EAPC of 2.48 in individuals aged 95 and older (Figure 4A). Urolithiasis showed an overall decreasing trend in most age groups globally, especially in China. However, an increasing trend in DALY rates after age 35 was observed in North Africa and the Middle East (Figure 4B). For kidney cancer, most age groups in low, low-middle, and middle SDI regions demonstrated an increasing trend in DALY rates (Figure 4C). In contrast, bladder cancer presented a more favorable picture: DALY rates declined across nearly all regions and age groups, except among individuals older than 95, where a slight increase was noted (Figure 4D).

    Figure 4 EAPC in DALY rates for urologic diseases in women by age group and region, 1990–2021. (A) Urinary tract infections. (B) Urolithiasis. (C) Kidney cancer. (D) Bladder cancer.

    Composition of Incident Cases and Risk-Attributable DALYs for Urologic Diseases in Women

    The composition of incident cases and risk-attributable DALYs for major urologic diseases in women in 1990 and 2021 was analyzed (Figure 5). In 2021, among non-neoplastic urologic diseases in women, urinary tract infections (UTIs) accounted for a significantly higher proportion of global incident cases compared to urolithiasis (91.1% vs 8.9%). However, in China, urolithiasis contributed a relatively higher proportion than the global average, with UTIs and urolithiasis accounting for 75.7% and 24.3% of cases, respectively (Figure 5A). For urologic cancers, kidney cancer represented a slightly greater share of incident cases globally than bladder cancer (52.5% vs 47.5%). This disparity was particularly pronounced in North Africa and the Middle East (60.5% vs 39.5%). In contrast, low Socio-demographic Index (SDI) regions demonstrated the opposite pattern, with bladder cancer comprising a higher proportion (59.6% vs 40.4%) (Figure 5B). Longitudinal trends from 1990 to 2021 indicate that the global proportion of UTIs among non-neoplastic urologic diseases has continued to rise. Meanwhile, the proportion of kidney cancer among urologic malignancies has increased across all SDI regions.

    Figure 5 The proportion of incident cases and DALYs attributable to risk factors for urologic diseases in women, 1990–2021. (A) Proportional distribution of incident cases among non-neoplastic urologic diseases. (B) Proportional distribution of incident cases among neoplastic urologic diseases. (C) Proportion of DALYs attributable to specific risk factors for kidney cancer. (D) Proportion of DALYs attributable to specific risk factors for bladder cancer.

    In 2021, the leading attributable risk factor for kidney cancer was high body mass index (BMI), accounting for 85.0% of the DALYs, followed by smoking (14.8%) and occupational carcinogens (0.2%) (Figure 5C). The contribution of smoking was highest in high-SDI and Western European countries (23.3% and 23.2%, respectively). Risk factors for bladder cancer showed marked regional variation: in low-SDI and North Africa/Middle East regions, high fasting plasma glucose was the predominant risk factor (62.8% in North Africa and the Middle East), whereas in high-SDI and Western Europe, smoking was the leading contributor (69.1% and 71.9%, respectively) (Figure 5D). Compared to 1990, the contribution of high BMI to kidney cancer burden increased in 2021, while the role of high fasting plasma glucose as a risk factor for bladder cancer also rose. Consequently, the proportion of urologic cancer-related DALYs attributable to smoking among women has declined.

    Projections of Global Incidence and DALY Rates of Urologic Diseases in Women

    We projected the trends in ASIR and ASDR for four major urologic diseases in women worldwide from 2021 to 2046 (Figure 6). For UTIs, both the ASIR and ASDR are expected to remain relatively stable over the next decade, with a modest upward trend anticipated after 2032 (Figure 6A). In the case of urolithiasis, projections suggest that both ASIR and ASDR will remain stable throughout the forecast period, without significant fluctuation (Figure 6B). For malignant urologic conditions, the predicted trajectories for kidney and bladder cancers show a slight initial decline in both ASIR and ASDR, followed by a mild increase in subsequent years. However, the magnitude of these changes is relatively small, indicating a generally stable burden over time (Figure 6C and D).

    Figure 6 Predicted trends in incidence and DALY rates for urologic diseases in women from 2021 to 2046. (A) Projected age-standardized incidence rates for non-neoplastic urologic diseases. (B) Projected age-standardized DALY rates for non-neoplastic urologic diseases. (C) Projected age-standardized incidence rates for neoplastic urologic diseases. (D) Projected age-standardized DALY rates for neoplastic urologic diseases.

    Discussion

    In recent years, women’s urologic health has gained increasing global attention due to its growing prevalence and associated healthcare burden. These diseases pose substantial challenges to public health systems and call for urgent, coordinated responses.28 Using data from the Global Burden of Disease Study 2021, we systematically assessed the incidence and DALYs for UTIs, urolithiasis, kidney cancer, and bladder cancer in women across global, regional, and national levels from 1990 to 2021.

    These four urologic diseases display two distinct epidemiological patterns—non-malignant conditions like UTIs and urolithiasis, and malignant ones like kidney and bladder cancers. UTIs remain a major public health concern among women due to their high prevalence and potential complications.29 Our findings indicate that although the ASDR for UTIs has remained stable in most regions, the absolute number of cases has risen significantly, likely driven by population growth, aging, and the heightened susceptibility of elderly women.30 This is consistent with the findings of Yang et al, who reported a rising incidence of UTIs associated with aging populations.31 Cognitive impairment, incontinence, and diminished functional capacity—common among older women—are established risk factors for UTIs.32,33 Notably, several South American countries experienced a marked rise in UTI-related ASDR, possibly due to the increased prevalence of multidrug-resistant infections.34 Correlation analyses further revealed shifting trends in burden disparities. In 1990, a negative association was observed between baseline ASDR and EAPC, suggesting convergence across countries. However, by 2021, this relationship reversed, possibly reflecting inequities in healthcare access. A similar trend was observed in urolithiasis, whereas it is less pronounced in kidney and bladder cancers. Additionally, UTI-related ASDRs positively correlated with HDI, potentially due to the higher prevalence of resistant pathogens in high-income settings.35

    Although the overall burden of urolithiasis appears stable or declining, an upward trend is evident in tropical and hot-climate regions, possibly linked to dehydration, dietary factors, and environmental exposures.36–38 This finding aligns with Wang et al’ s findings on climate-related risk for stone formation.39 The highest burden was noted among women aged 50–59, suggesting a possible link to menopause, which may increase urinary calcium excretion and thereby the risk of stone formation as suggested by Prochaska et al40,41 Future projections indicate a relatively stable burden, likely supported by advances in surgical and minimally invasive treatment options.42

    Urologic cancers show distinct epidemiological trajectories. Kidney cancer has surpassed bladder cancer as the leading malignant urologic disease in women in regions such as North Africa and the Middle East. ASDRs for both kidney and bladder cancers were negatively associated with HDI, underscoring the disproportionate burden in low-resource settings due to delayed diagnosis and limited treatment access.43 The long-term cancer control successes observed in North America, Oceania, and parts of Europe emphasize the importance of early detection and effective treatment.44 While these cancers primarily affect older populations, kidney cancer also contributes substantially to DALYs in children, likely due to nephroblastoma and early-onset clear cell carcinoma.45

    Among modifiable risk factors, smoking remains the predominant contributor to DALYs from female bladder and kidney cancers. Despite a global decline in smoking prevalence since 1990, it continued to account for the largest share of bladder cancer-related DALYs in women throughout the study period. This highlights the persistent need for robust tobacco control policies, especially targeting youth and secondhand smoke exposure.46,47 Although men are generally at higher risk for bladder cancer, women tend to be diagnosed at more advanced stages.48,49 Sex differences in tumor detection may contribute to these disparities, with men more likely to receive early diagnosis.50 Emerging evidence also suggests that sex hormones and their receptors may influence tumorigenesis and progression.51–53 These findings underscore the necessity of gender-specific prevention and treatment strategies to reduce sex-based disparities in cancer outcomes. In addition, obesity, particularly abdominal obesity, is a well-documented risk factor for kidney cancer, with obese individuals showing a 1.32-fold higher risk than their non-obese counterparts.54,55 We also observed an increasing contribution of elevated fasting plasma glucose to bladder cancer DALYs, pointing to the growing global burden of metabolic syndrome.56 Strong evidence supports the role of lifestyle interventions, such as physical activity and balanced diets, in mitigating cancer risk.57,58 Therefore, alongside anti-smoking measures, strategies to enhance metabolic health including diabetes management and nutritional guidance should be prioritized in future cancer control efforts targeting women.

    While our study offers the most recent GBD-based estimates on the global burden of four common urologic diseases in women, it is subject to several limitations. First, like all GBD studies, the quality and completeness of data vary across countries, particularly in low- and middle-income settings where robust epidemiological data are often lacking. Biases in diagnostic criteria and data reporting in primary studies also affect accuracy.18–20,24 Second, the impact of the COVID-19 pandemic introduces uncertainty in mortality estimates, especially in heavily affected regions. Third, our focus was limited to UTIs, urolithiasis, kidney cancer, and bladder cancer, excluding other urologic conditions that may be significant. Fourth, definitional constraints in the GBD database may lead to underestimation of disease burden. Fifth, differences in diagnostic practices across countries and over time could limit comparability. These limitations necessitate a cautious interpretation of global burden trends and call for improved data collection, harmonized diagnostic criteria, and complementary analytical approaches to validate our findings. Lastly, the GBD risk analysis is literature-based and may not account for all disease-specific risk factors.

    Conclusion

    Urologic diseases in women pose a growing global health challenge. The burden of UTIs and kidney cancer continues to rise with aging populations, while urolithiasis and bladder cancer are declining. Disparities in healthcare access and prevention have led to a polarized disease burden across countries. The rising impact of metabolically related cancers highlights the need for better metabolic health management. Strengthening global collaboration to develop effective screening and targeted, gender-sensitive strategies is essential to reduce the burden of these diseases.

    Abbreviations

    DALYs, disability-adjusted life-years; ASR, age-standardized rate; ASIR, age-standardized incidence rate; ASDR, age-standardized DALYs rate; EAPC, estimated annual percentage change; UI, uncertainty interval; SDI, socio-demographic index; HDI, human development index.

    Ethics Approval and Consent to Participate

    The study got an exemption from the Ethical Review Committee of the Fourth Affiliated Hospital of School of Medicine, Zhejiang University, because it used publicly available and deidentified data from GBD database.

    Disclosure

    The authors report no conflicts of interest in this work.

    References

    1. van Hoogstraten LM, Vrieling A, van der Heijden AG, Kogevinas M, Richters A, Kiemeney LA. Global trends in the epidemiology of bladder cancer: challenges for public health and clinical practice. Nat Rev Clin Oncol. 2023;20(5):287–304. doi:10.1038/s41571-023-00744-3

    2. Blackwell RH, Kirshenbaum EJ, Shah AS, Kuo PC, Gupta GN, Turk TM. Complications of recognized and unrecognized iatrogenic ureteral injury at time of hysterectomy: a population based analysis. J Urol. 2018;199(6):1540–1545. doi:10.1016/j.juro.2017.12.067

    3. Timm MR, Russell SK, Hultgren SJ. Urinary tract infections: pathogenesis, host susceptibility and emerging therapeutics. Nat Rev Microbiol. 2025;23(2):72–86. doi:10.1038/s41579-024-01092-4

    4. Anger JT, Bixler BR, Holmes RS, Lee UJ, Santiago-Lastra Y, Selph SS. Updates to recurrent uncomplicated urinary tract infections in women: AUA/CUA/SUFU guideline. J Urol. 2022;208(3):536–541. doi:10.1097/JU.0000000000002860

    5. Worby CJ, Schreiber IV HL, Straub TJ, et al. Longitudinal multi-omics analyses link gut microbiome dysbiosis with recurrent urinary tract infections in women. Nat Microbiol. 2022;7(5):630–639. doi:10.1038/s41564-022-01107-x

    6. Sihra N, Goodman A, Zakri R, Sahai A, Malde S. Nonantibiotic prevention and management of recurrent urinary tract infection. Nat Rev Urol. 2018;15(12):750–776. doi:10.1038/s41585-018-0106-x

    7. Xu J-Z, Li C, Xia Q-D, et al. Sex disparities and the risk of urolithiasis: a large cross-sectional study. Ann Med. 2022;54(1):1627–1635. doi:10.1080/07853890.2022.2085882

    8. Pedro RN, Das K, Buchholz N. Urolithiasis in pregnancy. Int J Surg. 2016;36:688–692. doi:10.1016/j.ijsu.2016.10.046

    9. Antonelli JA, Maalouf NM, Pearle MS, Lotan Y. Use of the National Health and Nutrition Examination Survey to calculate the impact of obesity and diabetes on cost and prevalence of urolithiasis in 2030. Eur Urol. 2014;66(4):724–729. doi:10.1016/j.eururo.2014.06.036

    10. Abate N, Chandalia M, Cabo-Chan Jr AV, Moe OW, Sakhaee K. The metabolic syndrome and uric acid nephrolithiasis: novel features of renal manifestation of insulin resistance. Kidney Int. 2004;65(2):386–392. doi:10.1111/j.1523-1755.2004.00386.x

    11. Monico CG, Milliner DS. Genetic determinants of urolithiasis. Nat Rev Nephrol. 2012;8(3):151–162. doi:10.1038/nrneph.2011.211

    12. Bukavina L, Bensalah K, Bray F, et al. Epidemiology of renal cell carcinoma: 2022 update. Eur Urol. 2022;82(5):529–542. doi:10.1016/j.eururo.2022.08.019

    13. Siegel RL, Giaquinto AN, Jemal A. Cancer statistics, 2024. CA. 2024;74(1):12–49. doi:10.3322/caac.21820

    14. Huang J, Leung DK-W, Chan EO-T, et al. A global trend analysis of kidney cancer incidence and mortality and their associations with smoking, alcohol consumption, and metabolic syndrome. Eur Urol Focus. 2022;8(1):200–209. doi:10.1016/j.euf.2020.12.020

    15. Catto JW, Rogers Z, Downing A, et al. Lifestyle factors in patients with bladder cancer: a contemporary picture of tobacco smoking, electronic cigarette use, body mass index, and levels of physical activity. Eur Urol Focus. 2023;9(6):974–982. doi:10.1016/j.euf.2023.04.003

    16. Jubber I, Ong S, Bukavina L, et al. Epidemiology of bladder cancer in 2023: a systematic review of risk factors. Eur Urol. 2023;84(2):176–190. doi:10.1016/j.eururo.2023.03.029

    17. Mitchell R, Popham F. Effect of exposure to natural environment on health inequalities: an observational population study. Lancet. 2008;372(9650):1655–1660. doi:10.1016/S0140-6736(08)61689-X

    18. Ferrari AJ, Santomauro DF, Aali A, et al. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet. 2024;403(10440):2133–2161.

    19. Naghavi M, Ong KL, Aali A, et al. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet. 2024;403(10440):2100–2132.

    20. Schumacher AE, Kyu HH, Aali A, et al. Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021. Lancet. 2024;403(10440):1989–2056.

    21. Yang H, Huang X, Westervelt DM, Horowitz L, Peng W. Socio-demographic factors shaping the future global health burden from air pollution. Nat Sustainability. 2023;6(1):58–68. doi:10.1038/s41893-022-00976-8

    22. Bray F, Jemal A, Grey N, Ferlay J, Forman D. Global cancer transitions according to the Human Development Index (2008–2030): a population-based study. Lancet Oncol. 2012;13(8):790–801. doi:10.1016/S1470-2045(12)70211-5

    23. Murray CJ. The global burden of disease study at 30 years. Nature Med. 2022;28(10):2019–2026. doi:10.1038/s41591-022-01990-1

    24. Brauer M, Roth GA, Aravkin AY, et al. Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet. 2024;403(10440):2162–2203.

    25. Hankey BF, Ries LA, Kosary CL, et al. Partitioning linear trends in age-adjusted rates. Cancer Causes Control. 2000;11:31–35. doi:10.1023/A:1008953201688

    26. Fay MP, Feuer EJ. Confidence intervals for directly standardized rates: a method based on the gamma distribution. Stat Med. 1997;16(7):791–801.

    27. Du Z, Chen W, Xia Q, Shi O, Chen Q. Trends and projections of kidney cancer incidence at the global and national levels, 1990–2030: a Bayesian age-period-cohort modeling study. Biomarker Res. 2020;8:1–10. doi:10.1186/s40364-020-00195-3

    28. Dy GW, Gore JL, Forouzanfar MH, Naghavi M, Fitzmaurice C. Global burden of urologic cancers, 1990–2013. Eur Urol. 2017;71(3):437–446. doi:10.1016/j.eururo.2016.10.008

    29. Mancuso G, Midiri A, Gerace E, Marra M, Zummo S, Biondo C. Urinary tract infections: the current scenario and future prospects. Pathogens. 2023;12(4):623. doi:10.3390/pathogens12040623

    30. Huang AJ, Grady D, Mody L. Recurrent urinary tract infection in older outpatient women. JAMA Intern Med. 2024;184(8):971–972. doi:10.1001/jamainternmed.2024.1069

    31. Yang X, Chen H, Zheng Y, Qu S, Wang H, Yi F. Disease burden and long-term trends of urinary tract infections: a worldwide report. Front Public Health. 2022;10:888205. doi:10.3389/fpubh.2022.888205

    32. Chao C-T, Lee S-Y, Wang J, Chien K-L, Huang J-W. Frailty increases the risk for developing urinary tract infection among 79,887 patients with diabetic mellitus and chronic kidney disease. BMC Geriatr. 2021;21(1):349. doi:10.1186/s12877-021-02299-3

    33. Tang K, Feng J, Lai H, et al. Global burden and trends of UTI in premenopausal and postmenopausal women from 1990 to 2021 and projections to 2044. Int J Women’s Health. 2025;17:1375–1392. doi:10.2147/IJWH.S517387

    34. Aguilar GR, Swetschinski LR, Weaver ND, et al. The burden of antimicrobial resistance in the Americas in 2019: a cross-country systematic analysis. Lancet Regional Health–Americas. 2023;25.

    35. Balasubramanian R, Van Boeckel TP, Carmeli Y, Cosgrove S, Laxminarayan R. Global incidence in hospital-associated infections resistant to antibiotics: an analysis of point prevalence surveys from 99 countries. PLoS Med. 2023;20(6):e1004178. doi:10.1371/journal.pmed.1004178

    36. Venugopal V, Shanmugam R, Perumal Kamalakkannan L. Heat-health vulnerabilities in the climate change context—comparing risk profiles between indoor and outdoor workers in developing country settings. Environ Res Lett. 2021;16(8):085008. doi:10.1088/1748-9326/ac1469

    37. Sorokin I, Mamoulakis C, Miyazawa K, Rodgers A, Talati J, Lotan Y. Epidemiology of stone disease across the world. World J Urol. 2017;35:1301–1320. doi:10.1007/s00345-017-2008-6

    38. Abeywickarama B, Ralapanawa U, Chandrajith R. Geoenvironmental factors related to high incidence of human urinary calculi (kidney stones) in Central Highlands of Sri Lanka. Environ Geochem Health. 2016;38:1203–1214. doi:10.1007/s10653-015-9785-x

    39. Wang Y, Wang Q, Deng Y, et al. Assessment of the impact of geogenic and climatic factors on global risk of urinary stone disease. Sci Total Environ. 2020;721:137769. doi:10.1016/j.scitotenv.2020.137769

    40. Young M, Nordin B. Effects of natural and artificial menopause on plasma and urinary calcium and phosphorus. Lancet. 1967;290(7507):118–120. doi:10.1016/S0140-6736(67)92961-3

    41. Prochaska M, Taylor EN, Curhan G. Menopause and risk of kidney stones. J Urol. 2018;200(4):823–828. doi:10.1016/j.juro.2018.04.080

    42. Borofsky MS, Lingeman JE. The role of open and laparoscopic stone surgery in the modern era of endourology. Nat Rev Urol. 2015;12(7):392–400. doi:10.1038/nrurol.2015.141

    43. Lunyera J, Kilonzo K, Lewington A, Yeates K, Finkelstein FO. Acute kidney injury in low-resource settings: barriers to diagnosis, awareness, and treatment and strategies to overcome these barriers. Am J Kidney Dis. 2016;67(6):834–840. doi:10.1053/j.ajkd.2015.12.018

    44. Fitzgerald RC, Antoniou AC, Fruk L, Rosenfeld N. The future of early cancer detection. Nat Med. 2022;28(4):666–677. doi:10.1038/s41591-022-01746-x

    45. Salzillo C, Cazzato G, Serio G, Marzullo A. Paediatric renal tumors: a state-of-the-art review. Curr Oncol Rep. 2025;27(3):211–224. doi:10.1007/s11912-025-01644-8

    46. Purdue MP, Silverman DT. Clearing the air: summarizing the smoking-related relative risks of bladder and kidney cancer. Eur Urol. 2016;70(3):467–468. doi:10.1016/j.eururo.2016.04.009

    47. Cumberbatch MG, Rota M, Catto JW, La Vecchia C. The role of tobacco smoke in bladder and kidney carcinogenesis: a comparison of exposures and meta-analysis of incidence and mortality risks. Eur Urol. 2016;70(3):458–466. doi:10.1016/j.eururo.2015.06.042

    48. Dobruch J, Daneshmand S, Fisch M, et al. Gender and bladder cancer: a collaborative review of etiology, biology, and outcomes. Eur Urol. 2016;69(2):300–310. doi:10.1016/j.eururo.2015.08.037

    49. Doshi B, Athans SR, Woloszynska A. Biological differences underlying sex and gender disparities in bladder cancer: current synopsis and future directions. Oncogenesis. 2023;12(1):44. doi:10.1038/s41389-023-00489-9

    50. Pignot G, Barthélémy P, Borchiellini D. Sex disparities in bladder cancer diagnosis and treatment. Cancers. 2024;16(23):4100. doi:10.3390/cancers16234100

    51. Li D, Wang Z, Yu Q, et al. Tracing the evolution of sex hormones and receptor-mediated immune microenvironmental differences in prostate and bladder cancers: from embryonic development to disease. Adv Sci. 2025;12(13):e2407715. doi:10.1002/advs.202407715

    52. Ide H, Miyamoto H. Sex hormone receptor signaling in bladder cancer: a potential target for enhancing the efficacy of conventional non-surgical therapy. Cells. 2021;10(5):1169. doi:10.3390/cells10051169

    53. Chaudhary P, Singha B, Abdel-Hafiz HA, et al. Sex differences in bladder cancer: understanding biological and clinical implications. Biol Sex Differences. 2025;16(1):31. doi:10.1186/s13293-025-00715-6

    54. Venkatesh N, Martini A, McQuade JL, Msaouel P, Hahn AW. Obesity and renal cell carcinoma: biological mechanisms and perspectives. Semi Cancer Biol. 2023;94:21–33. doi:10.1016/j.semcancer.2023.06.001

    55. Nam GE, Cho KH, Han K, et al. Obesity, abdominal obesity and subsequent risk of kidney cancer: a cohort study of 23.3 million East Asians. Br J Cancer. 2019;121(3):271–277. doi:10.1038/s41416-019-0500-z

    56. Fang S, Liu Y, Dai H, et al. Association of metabolic syndrome and the risk of bladder cancer: a prospective cohort study. Front Oncol. 2022;12:996440. doi:10.3389/fonc.2022.996440

    57. Byrne S, Boyle T, Ahmed M, Lee SH, Benyamin B, Hyppönen E. Lifestyle, genetic risk and incidence of cancer: a prospective cohort study of 13 cancer types. Int J Epidemiol. 2023;52(3):817–826. doi:10.1093/ije/dyac238

    58. Wang Q, Zhou W. Roles and molecular mechanisms of physical exercise in cancer prevention and treatment. J Sport Health Sci. 2021;10(2):201–210. doi:10.1016/j.jshs.2020.07.008

    Continue Reading