Evidence map›Paper›PMID 37280533›Full record

ArticleBMC nephrology2023

Prevalence and predictors of chronic kidney disease of undetermined causes (CKDu) in Western Kenya's "sugar belt": a cross-sectional study.

Michelle H Hathaway, Crystal L Patil, Aloyce Odhiambo, Dickens Onyango, Samuel Dorevitch

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Work and work exposures in sugarcane farming in Eswatini, Southern Africa.International archives of occupational and environmental health · 2025
    Article
  2. Article
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

5 authors at 2 institutions in 2 countries.

Michelle H HathawayDivision of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois Chicago, 1603 W. Taylor St., Chicago, IL, 60612, USA. hathaway@uic.edu.
Crystal L PatilDepartment of Human Development Nursing Science, College of Nursing, University of Illinois Chicago, 845 S. Damen Ave., MC 802, Chicago, IL, 60612, USA.
Aloyce OdhiamboSafe Water and AIDS Project, Behind Royal City Garden Hotel, Milimani Estate, Off Aga Khan Road, P.O. Box, Kisumu, 3323-40100, Kenya.
Dickens OnyangoCounty Department of Health, County Government of Kisumu, Kisumu, Kenya.
Samuel DorevitchDivision of Environmental and Occupational Health Sciences, School of Public Health, University of Illinois Chicago, 1603 W. Taylor St., Chicago, IL, 60612, USA.
University of Illinois Chicago · USKenya School of Government · KE

Funding

Occupational Safety and Health, ERC, University of Illinois at ChicagoT42OH008672 · OH · UNIVERSITY OF ILLINOIS AT CHICAGO · PI BUCHANAN, SUSAN NATHALIE · 2005 to 2025
$32.7M
Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
NIEHS NIH HHS P30 ES027792NIOSH CDC HHS T42 OH008672
6 · The paper itself

Abstract

backgroundEpidemics of chronic kidney disease of undetermined causes (CKDu) among young male agricultural workers have been observed in many tropical regions. Western Kenya has similar climatic and occupational characteristics as many of those areas. The study objectives were to characterize prevalence and predictors of CKDu, such as, HIV, a known cause of CKD, in a sugarcane growing region of Kenya; and to estimate prevalence of CKDu across occupational categories and evaluate if physically demanding work or sugarcane work are associated with reduced eGFR.

methodsThe Disadvantaged Populations eGFR Epidemiology Study (DEGREE) protocol was followed in a cross-sectional study conducted in Kisumu County, Western Kenya. Multivariate logistic regression was performed to identify predictors of reduced eGFR.

resultsAmong 782 adults the prevalence of eGFR < 90 was 9.85%. Among the 612 participants without diabetes, hypertension, and heavy proteinuria the prevalence of eGFR < 90 was 8.99% (95%CI 6.8%, 11.5%) and 0.33% (95%CI 0.04%, 1.2%) had eGFR < 60. Among the 508 participants without known risk factors for reduced eGFR (including HIV), the prevalence of eGFR < 90 was 5.12% (95%CI 3.4%, 7.4%); none had eGFR < 60. Significant risk factors for reduced eGFR were sublocation, age, body mass index, and HIV. No association was found between reduced eGFR and work in the sugarcane industry, as a cane cutter, or in physically demanding occupations.

conclusionCKDu is not a common public health problem in this population, and possibly this region. We recommend that future studies should consider HIV to be a known cause of reduced eGFR. Factors other than equatorial climate and work in agriculture may be important determinants of CKDu epidemics.

Indexed as

HIV InfectionsRenal Insufficiency, ChronicAdultCross-Sectional StudiesGlomerular Filtration RateHumansKenyaMalePrevalenceRisk FactorsSugarsSugarsChronic kidney disease of undetermined causesEnvironmental epidemiologyGlobal healthHIVOccupational health

Identifiers

PMID37280533
PMCPMC10243037
OpenAlexW4379537078

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.