ArticleUrolithiasis2015
Modeling the distribution of urolithiasis prevalence under projected climate change in Iran.
Article in Urolithiasis, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Projected impact of climate change on human health in low- and middle-income countries: a systematic review.BMJ global health · 2024Pooled it
- Impacts of long-term climate change on human health: a global scoping review of quantitative research.BMJ open · 2026Article
- A Systematic Review on the Outcomes of Climate Change in the Middle-Eastern Countries: The Catastrophes of Yemen and Syria.Environmental health insights · 2024Review
- Longitudinal trend of urolithiasis incidence rates among world countries during past decades.BMC urology · 2023Article
- Digital health for climate change mitigation and response: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Study of risk factor of urinary calculi according to the association between stone composition with urine component.Scientific reports · 2021Article
- Epidemiology of urolithiasis in Asia.Asian journal of urology · 2018Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although studies support a positive correlation between temperature and stone risk, the precise relationship between these factors has not been elucidated. We modeled the current distribution of urolithiasis prevalence in Iran using 26 bioclimatic, climatic and topographic variables based on two multivariate linear regression models in geographical information system. The impact of climate change on the stone prevalence was predicted under the projections of GFDL-ESM2G, CCSM4 and HadGEM2-ES climate models by mid-century (2050). Extraterrestrial radiation and isothermality in the first regression model and annual mean temperature, precipitation seasonality and isothermality in the second model were the significant (P<0.01) predictors of urolithiasis prevalence. Both regression models provided good estimates of the stone prevalence (R2>0.9) and determined a mean urolithiasis prevalence of 6% (range of 1.5-10.8%) in Iran. The climate change under the projections of GFDL-ESM2G, CCSM4 and HadGEM2-ES models can, respectively, lead to an average increase of 5.7, 4.3 and 9% in the urolithiasis prevalence based on the second regression model by 2050. The highest increase of the prevalence will occur in the west, northwest and southwest provinces of the country. Predicting the impact of climate change on climate-related diseases can be useful for effective preventive measures.
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Registered trials
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