Evidence map›Paper›PMID 30850400›Full record

ArticleBMJ open2019

Prevalence of and risk factors for chronic kidney disease of unknown aetiology in India: secondary data analysis of three population-based cross-sectional studies.

Cristina O'Callaghan-Gordo, Roopa Shivashankar, Shuchi Anand, Shreeparna Ghosh, Jason Glaser, Ruby Gupta, Kristina Jakobsson, Dimple Kondal, Anand Krishnan, Sailesh Mohan and 8 more

Erratum issuedAbstract read
In one paragraph

Article in BMJ open, 2019. 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 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  20. Biochemistry and biophysics reports · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Cristina O'Callaghan-GordoISGlobal, Barcelona, Spain.
Roopa ShivashankarPublic Health Foundation of India, Gurgaon, Haryana, India.
Shuchi AnandStanfordUniversity School of Medicine, Stanford, CA, USA.
Shreeparna GhoshPublic Health Foundation of India, Gurgaon, Haryana, India.
Jason GlaserDepartment of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.
Ruby GuptaPublic Health Foundation of India, Gurgaon, Haryana, India.
Kristina JakobssonOccupationaland Environmental Medicine, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden.
Dimple KondalPublic Health Foundation of India, Gurgaon, Haryana, India.
Anand KrishnanCentrefor Community Medicine, All India Institute of Medical Sciences, New Delhi, Haryana, India.
Sailesh MohanPublic Health Foundation of India, Gurgaon, Haryana, India.
Viswanathan MohanDiabetes Research, Madras Diabetes Research Foundation, Chennai, India.
Dorothea NitschDepartmentof Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Praveen P ACentre for Control of Chronic Conditions (4Cs), New Delhi, Haryana, India.
Nikhil TandonDepartmentof Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India.
K M Venkat NarayanEmoryGlobal Diabetes Research Center, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Neil PearceDepartment of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.
Ben CaplinCentrefor Nephrology, University College London Medical School, London, UK.
Dorairaj PrabhakaranPublic Health Foundation of India, Gurgaon, Haryana, India.

Funding

Medical Research Council MR/P02386X/1NHLBI NIH HHS HHSN268200900026CWellcome TrustWellcome Trust 097834/Z/11/B
6 · The paper itself

Abstract

objectivesTo assess whether chronic kidney disease of unknown aetiology (CKDu) is present in India and to identify risk factors for it using population-based data and standardised methods.

designSecondary data analysis of three population-based cross-sectional studies conducted between 2010 and 2014.

settingUrban and rural areas of Northern India (states of Delhi and Haryana) and Southern India (states of Tamil Nadu and Andhra Pradesh).

participants12 500 individuals without diabetes, hypertension or heavy proteinuria. OUTCOME MEASURES: Mean estimated glomerular filtration rate (eGFR) and prevalence of eGFR below 60 mL/min per 1.73 m

resultsThe mean eGFR was 105.0±17.8 mL/min per 1.73 m

conclusionsCKDu is present in India and is not confined to Central America and Sri Lanka. Identified risk factors are consistent with risk factors previously reported for CKDu in Central America and Sri Lanka.

Indexed as

AdultAgedAged, 80 and overCross-Sectional StudiesData AnalysisDiabetes MellitusEducational StatusFemaleGlomerular Filtration RateHumansHypertensionIndiaKidneyMaleMiddle AgedPrevalencechronic renal failureepidemiologynephrologypublic health

Identifiers

PMID30850400
PMCPMC6429742

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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.