Evidence map›Paper›PMID 26644310›Full record

ArticleTropical medicine & international health : TM & IH2016

Decreased renal function and associated factors in cities, towns and rural areas of Tanzania: a community-based population survey.

Robert Peck, Kathy Baisley, Bazil Kavishe, Jackson Were, Janneth Mghamba, Liam Smeeth, Heiner Grosskurth, Saidi Kapiga

Open access · hybridAbstract read
In one paragraph

Article in Tropical medicine & international health : TM & IH, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
0.4field-weighted citation impact, top 34% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Global health inequalities of chronic kidney disease: a meta-analysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
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  11. Mapping the Current and Future Noncommunicable Disease Burden in Kenya by Human Immunodeficiency Virus Status: A Modeling Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
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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

8 authors at 4 institutions in 3 countries.

Robert PeckMwanza Intervention Trials Unit, Mwanza, Tanzania.
Kathy BaisleyLondon School of Hygiene & Tropical Medicine, London, UK.
Bazil KavisheWeill Bugando School of Medicine, Mwanza, Tanzania.
Jackson WereMRC Uganda Research Unit on AIDS, Entebbe, Uganda.
Janneth MghambaTanzanian Ministry of Health and Social Welfare, Dar es Salaam, Tanzania.
Liam SmeethLondon School of Hygiene & Tropical Medicine, London, UK.
Heiner GrosskurthLondon School of Hygiene & Tropical Medicine, London, UK.
Saidi KapigaWeill Bugando School of Medicine, Mwanza, Tanzania.
Bugando Medical Centre · TZLondon School of Hygiene & Tropical Medicine · GBMinistry of Health and Social Welfare · TZUganda Virus Research Institute · UG

Funding

Hypertension in HIV-Infected Tanzanians: Time Course and PathogenesisK01TW010281 · FIC · WEILL MEDICAL COLL OF CORNELL UNIV · PI PECK, ROBERT N · 2015 to 2019
$689k
FIC NIH HHS K01 TW010281FIC NIH HHS K01 TW010281-01Medical Research Council G0901756Medical Research Council G1002650Medical Research Council MC_UP_A910_1112Medical Research Council MR/K006584/1Medical Research Council MR/K012126/1Wellcome Trust 098504
6 · The paper itself

Abstract

objectivesData on renal dysfunction in sub-Saharan Africa, comparing urban and rural areas, have not yet been reported. Therefore, we aimed to determine the distribution of low estimated glomerular filtration rates (eGFRs) in urban and rural Tanzania, to describe factors associated with low eGFR and to quantify fractions attributable to common risk factors.

methodsWe conducted a community-based survey of 1095 randomly selected Tanzanian adults (≥18 years). A structured questionnaire and examinations were used to document sociodemographic characteristics, diet, physical activity, anthropomorphic measurements and blood pressure. Blood tests were performed for HIV infection, diabetes mellitus and creatinine. eGFR was calculated using two equations recommended for African adults.

resultsSerum creatinine was available for 1043 participants: 170 in Mwanza city, 326 in district towns and 547 in rural areas. Mean age was 35.5 years and 54% were females. The prevalence of eGFR < 60 ml/min/1.73 m(2) in these 3 strata was 2.3% (95% CI = 0.8-6.6%), 7.5% (4.7-11.8%) and 7.4% (5.1-10.6%), respectively. When age standardised to the WHO world population, prevalences were 3.8%, 10.1% and 8.1%. Factors associated with low eGFR included district town residence, older age, greater wealth, less physical activity and hypertension. Only 21% of cases with eGFR < 60 ml/min/1.73 m(2) were attributable to HIV, hypertension or diabetes.

conclusionsDecreased renal function is common in Tanzania, particularly in district towns, and unique risk factors for kidney disease may exist in this population. Population-specific strategies for prevention, early diagnosis and treatment of kidney disease are needed for Africa.

Indexed as

AdultAge FactorsCreatinineFemaleGlomerular Filtration RateHIV InfectionsHumansKidney DiseasesMaleMiddle AgedMotor ActivityPrevalenceRisk FactorsRural PopulationSocioeconomic FactorsSurveys and QuestionnairesCreatinineadultesadultosadultsenfermedad renalepidemiologíaépidémiologieepidemiologyfacteur de risquefactores de riesgomaladie rénaleprevalenceprévalenceprevalenciarenal diseaserisk factorsTanzaniaTanzanie

Identifiers

PMID26644310
PMCPMC4784164
OpenAlexW2269677291

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.