Evidence map›Paper›PMID 34934891›Full record

ArticleEnvironmental epidemiology (Philadelphia, Pa.)2021

Environmental risk factors for reduced kidney function due to undetermined cause in India: an environmental epidemiologic analysis.

Sophie A Hamilton, Prashant Jarhyan, Daniela Fecht, Nikhil Srinivasapura Venkateshmurthy, Neil Pearce, Kabayam M Venkat Narayan, Mohammed K Ali, Viswanathan Mohan, Nikhil Tandon, Dorairaj Prabhakaran and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Environmental epidemiology (Philadelphia, Pa.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
0.3field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 3 countries.

Sophie A HamiltonDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.
Prashant JarhyanPublic Health Foundation of India, New Delhi, India.
Daniela FechtMRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom.
Nikhil Srinivasapura VenkateshmurthyPublic Health Foundation of India, New Delhi, India.
Neil PearceDepartment of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Kabayam M Venkat NarayanRollins School of Public Health, Emory University, Atlanta.
Mohammed K AliRollins School of Public Health, Emory University, Atlanta.
Viswanathan MohanMadras Diabetes Research Foundation, Chennai, India.
Nikhil TandonAll India Institute of Medical Sciences, New Delhi, India.
Dorairaj PrabhakaranPublic Health Foundation of India, New Delhi, India.
Sailesh MohanPublic Health Foundation of India, New Delhi, India.
Public Health Foundation of India · INEmory University · USAll India Institute of Medical Sciences · INImperial College London · GBLondon School of Hygiene & Tropical Medicine · GBMadras Diabetes Research Foundation · INMRC Centre for Environment and Health

Funding

Medical Research Council MR/V033743/1NHLBI NIH HHS HHSN268200900026C
6 · The paper itself

Abstract

backgroundAn epidemic of chronic kidney disease is occurring in rural communities in low-income and middle-income countries that do not share common kidney disease risk factors such as diabetes and hypertension. This chronic kidney disease of unknown etiology occurs primarily in agricultural communities in Central America and South Asia. Consequently, environmental risk factors including heat stress, heavy metals exposure, and low altitude have been hypothesized as risk factors. We conducted an environmental epidemiological analysis investigating these exposures in India which reports the disease.

methodsWe used a random sample population in rural and urban sites in Northern and Southern India in 2010, 2011, and 2014 (n = 11,119). We investigated associations of the heat index, altitude, and vicinity to cropland with estimated glomerular filtration rate (eGFR) using satellite-derived data assigned to residential coordinates. We modeled these exposures with eGFR using logistic regression to estimate the risk of low eGFR, and linear mixed models (LMMs) to analyze site-specific eGFR-environment associations.

resultsBeing over 55 years of age, male, and living in proximity to cropland was associated with increased risk of low eGFR [odds ratio (OR) (95% confidence interval (CI) = 2.24 (1.43, 3.56), 2.32 (1.39, 3.88), and 1.47 (1.16, 2.36)], respectively. In LMMs, vicinity to cropland was associated with low eGFR [-0.80 (-0.44, -0.14)]. No associations were observed with temperature or altitude.

conclusionsOlder age, being male, and living in proximity to cropland were negatively associated with eGFR. These analyses are important in identifying subcommunities at higher risk and can help direct future environmental investigations.

Indexed as

Chronic kidney diseaseEnvironmental exposureEpidemiologyIndiaSatellite imagery

Identifiers

PMID34934891
PMCPMC8683143
OpenAlexW3204899990

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.