Evidence map›Paper›PMID 32894093›Full record

ArticleBMC nephrology2020

Prevalence and risk factors for chronic kidney disease of unknown cause in Malawi: a cross-sectional analysis in a rural and urban population.

Sophie A Hamilton, Wisdom P Nakanga, Josephine E Prynn, Amelia C Crampin, Daniela Fecht, Paolo Vineis, Ben Caplin, Neil Pearce, Moffat J Nyirenda

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2020. 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 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 2 countries.

Sophie A HamiltonDepartment of Epidemiology and Biostatistics, Imperial College London, London, UK. s.hamilton16@imperial.ac.uk.ORCID 0000-0001-8848-2750
Wisdom P NakangaMalawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi.
Josephine E PrynnMalawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi.
Amelia C CrampinMalawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi.
Daniela FechtDepartment of Epidemiology and Biostatistics, Imperial College London, London, UK.
Paolo VineisDepartment of Epidemiology and Biostatistics, Imperial College London, London, UK.
Ben CaplinCentre for Nephrology, Division of Medicine, University College London, London, UK.
Neil PearceDepartment of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UK.
Moffat J NyirendaMalawi Epidemiology and Intervention Research Unit, Lilongwe, Malawi.
London School of Hygiene & Tropical Medicine · GBMalawi Epidemiology and Intervention Research Unit · MWMRC Centre for Environment and HealthImperial College London · GBUniversity College London · GB

Funding

Medical Research Council MR/P02386X/1Medical Research Council MR/S019669/1
6 · The paper itself

Abstract

backgroundAn epidemic of chronic kidney disease of unknown cause (CKDu) is occurring in rural communities in tropical regions of low-and middle-income countries in South America and India. Little information is available from Southern African countries which have similar climatic and occupational characteristics to CKDu-endemic countries. We investigated whether CKDu is prevalent in Malawi and identified its potential risk factors in this setting.

methodsWe conducted a cross-sectional study from January-August 2018 collecting bio samples and anthropometric data in two Malawian populations. The sample comprised adults > 18 years (n = 821) without diabetes, hypertension, and proteinuria. Estimates of glomerular filtration rate (eGFR) were calculated using the CKD-EPI equation. Linear and logistic regression models were applied with potential risk factors, to estimate risk of reduced eGFR.

resultsThe mean eGFR was 117.1 ± 16.0 ml/min per 1.73m

conclusionsReduced kidney function consistent with the definition of CKDu is not common in the areas of Malawi sampled, compared to that observed in other tropical or sub-tropical countries in Central America and South Asia. Reduced eGFR< 90 was related to age, BMI, and was more common in rural areas. These findings are important as they contradict some current hypothesis that CKDu is endemic across tropical and sub-tropical countries. This study has enabled standardized comparisons of impaired kidney function between and within tropical/subtropical regions of the world and will help form the basis for further etiological research, surveillance strategies, and the implementation and evaluation of interventions.

Indexed as

AdultAge FactorsBody Mass IndexCross-Sectional StudiesFemaleGlomerular Filtration RateHumansLinear ModelsLogistic ModelsMalawiMaleMiddle AgedOdds RatioPrevalenceRenal Insufficiency, ChronicRisk FactorsChronic kidney diseaseEpidemiologyEstimated glomerular filtration ratePrevalenceRisk factorSub-Saharan Africa

Identifiers

PMID32894093
PMCPMC7487679
OpenAlexW3083354722

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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.