Evidence map›Paper›PMID 32130245›Full record

ArticlePloS one2020

The epidemiology of chronic kidney disease (CKD) in rural East Africa: A population-based study.

Anthony N Muiru, Edwin D Charlebois, Laura B Balzer, Dalsone Kwarisiima, Assurah Elly, Doug Black, Samuel Okiror, Jane Kabami, Mucunguzi Atukunda, Katherine Snyman and 5 more

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% 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.

NCT01864603 nacompletednot on this map

Sustainable East Africa Research in Community Health

TypeinterventionalSponsorUniversity of California, San FranciscoRan2013 to 2021Enrolled150,395ConditionsHIV, Tuberculosis, Hypertension, DiabetesArmsUniversal ART in a streamlined care model, Annual Community Health Campaigns, Targeted PrEP and Targeted testing interventions, Baseline community-based HIV and multi-disease testing
NCT06312072 unknown statusnot on this mapstarted 2024, after this paper: background citation

Understanding Risk Factors for Progressive Chronic Kidney Disease in Malawi to Inform Interventions for Earlier Detection and Prevention (Impso Study)

TypeobservationalSponsorLiverpool School of Tropical MedicineRan2024 to 2025Enrolled1,100ConditionsChronic Kidney Diseases, Non-Communicable Chronic Diseases, Non-communicable Disease, Kidney DiseasesArmsNo intervention, observational study
3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 3 countries.

Anthony N MuiruUniversity of California, San Francisco, California, United States of America.ORCID 0000-0003-2622-9658
Edwin D CharleboisUniversity of California, San Francisco, California, United States of America.
Laura B BalzerUniversity of Massachusetts, Amherst, Massachusetts, United States of America.
Dalsone KwarisiimaInfectious Diseases Research Collaboration, Kampala, Uganda.
Assurah EllyKenya Medical Research Institute, Nairobi, Kenya.
Doug BlackUniversity of California, San Francisco, California, United States of America.
Samuel OkirorInfectious Diseases Research Collaboration, Kampala, Uganda.
Jane KabamiInfectious Diseases Research Collaboration, Kampala, Uganda.
Mucunguzi AtukundaInfectious Diseases Research Collaboration, Kampala, Uganda.
Katherine SnymanUniversity of California, San Francisco, California, United States of America.
Maya PetersenSchool of Public Health, University of California, Berkeley, California, United States of America.
Moses KamyaMakerere University, Kampala, Uganda.
Diane HavlirUniversity of California, San Francisco, California, United States of America.
Michelle M EstrellaUniversity of California, San Francisco, California, United States of America.
Chi-Yuan HsuUniversity of California, San Francisco, California, United States of America.
University of California, San Francisco · USInfectious Diseases Research Collaboration · UGSan Francisco VA Medical Center · USKenya Medical Research Institute · KEMakerere University · UGUniversity of California, Berkeley · USUniversity of Massachusetts Amherst · US

Funding

Ujima Mentoring ProgramP30MH062246 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Sheri Ann Lippman · 2001 to 2026
$57.4M
Reducing Failure-to-Initiate ART: Streamlined ART Start Strategy (START)U01AI099959 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAVLIR, DIANE V · 2012 to 2016
$39.7M
San Francisco Vaccine and Prevention UnitUM1AI069496 · NIAID · PUBLIC HEALTH FOUNDATION ENTERPRISES · PI Susan Buchbinder, Diane V Havlir · 2012 to 2026
$30.5M
Academic Training Program in NephrologyT32DK007219 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HSU, CHI-YUAN · 1986 to 2022
$7.3M
Acute kidney injury among patients with chronic kidney diseaseR01DK114014 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HSU, CHI-YUAN · 2018 to 2021
$3.0M
Patient Oriented Research in Kidney DiseaseK24DK092291 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HSU, CHI-YUAN · 2011 to 2020
$1.2M
NIAID NIH HHS U01 AI099959NIAID NIH HHS UM1 AI069496NIDDK NIH HHS K24 DK092291NIDDK NIH HHS R01 DK114014NIDDK NIH HHS T32 DK007219NIMH NIH HHS P30 MH062246PEPFAR
6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) may be common among individuals living in sub-Saharan Africa due to the confluence of CKD risk factors and genetic predisposition.

methodsWe ascertained the prevalence of CKD and its risk factors among a sample of 3,686 participants of a population-based HIV trial in rural Uganda and Kenya. Prevalent CKD was defined as a serum creatinine-based estimated glomerular filtration rate <60 mL/min/1.73m2 or proteinuria (urine dipstick ≥1+). We used inverse-weighting to estimate the population prevalence of CKD, and multivariable log-link Poisson models to assess the associations of potential risk factors with CKD.

resultsThe estimated CKD prevalence was 6.8% (95% CI 5.7-8.1%) overall and varied by region, being 12.5% (10.1-15.4%) in eastern Uganda, 3.9% (2.2-6.8%) in southwestern Uganda and 3.7% (2.7-5.1%) in western Kenya. Risk factors associated with greater CKD prevalence included age ≥60 years (adjusted prevalence ratio [aPR] 3.5 [95% CI 1.9-6.5] compared with age 18-29 years), HIV infection (aPR 1.6 [1.1-2.2]), and residence in eastern Uganda (aPR 3.9 [2.6-5.9]). However, two-thirds of individuals with CKD did not have HIV, diabetes, or hypertension as risk factors. Furthermore, we noted many individuals who did not have proteinuria had dipstick positive leukocyturia or hematuria.

conclusionThe prevalence of CKD is appreciable in rural East Africa and there are considerable regional differences. Conventional risk factors appear to only explain a minority of cases, and leukocyturia and hematuria were common, highlighting the need for further research into understanding the nature of CKD in sub-Saharan Africa.

Indexed as

AdolescentAdultAgedCreatinineCross-Sectional StudiesFemaleGlomerular Filtration RateHIV InfectionsHumansKenyaMaleMiddle AgedPrevalenceProteinuriaRenal Insufficiency, ChronicRisk FactorsCreatinine

Identifiers

PMID32130245
PMCPMC7055898
OpenAlexW3010263046

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.