Evidence map›Paper›PMID 27303364›Full record

ArticleFrontiers in endocrinology2016

Impact of Type 2 Diabetes on Impaired Kidney Function in Sub-Saharan African Populations.

Sally N Adebamowo, Adebowale A Adeyemo, Fasil Tekola-Ayele, Ayo P Doumatey, Amy R Bentley, Guanjie Chen, Jie Zhou, Daniel Shriner, Olufemi Adetola Fasanmade, Godfrey Okafor and 11 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Observational
  6. Review
  7. Article
  8. Article
  9. Article
  10. The Global Epidemiology of Diabetes and Kidney Disease.Advances in chronic kidney disease · 2018
    Review
  11. 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

21 authors at 8 institutions in 3 countries.

Sally N AdebamowoCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health , Bethesda, MD , USA.
Adebowale A AdeyemoCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health , Bethesda, MD , USA.
Fasil Tekola-AyeleCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health , Bethesda, MD , USA.
Ayo P DoumateyCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health , Bethesda, MD , USA.
Amy R BentleyCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health , Bethesda, MD , USA.
Guanjie ChenCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health , Bethesda, MD , USA.
Jie ZhouCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health , Bethesda, MD , USA.
Daniel ShrinerCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health , Bethesda, MD , USA.
Olufemi Adetola FasanmadeUniversity of Lagos , Lagos , Nigeria.
Godfrey OkaforUniversity of Nigeria Teaching Hospital , Enugu , Nigeria.
Benjamin EghanKwame Nkrumah University of Science and Technology , Kumasi , Ghana.
Kofi Agyenim-BoatengKwame Nkrumah University of Science and Technology , Kumasi , Ghana.
Jokotade AdeleyeUniversity of Ibadan , Ibadan , Nigeria.
Williams BalogunUniversity of Ibadan , Ibadan , Nigeria.
Albert G AmoahUniversity of Ghana Medical School , Accra , Ghana.
Samuel OwusuUniversity of Ghana Medical School , Accra , Ghana.
Joseph AcheampongKwame Nkrumah University of Science and Technology , Kumasi , Ghana.
Thomas JohnsonUniversity of Lagos , Lagos , Nigeria.
Johnnie OliUniversity of Nigeria Teaching Hospital , Enugu , Nigeria.
Clement A AdebamowoDepartment of Public Health and Epidemiology, Greenbaum Cancer Center, Institute of Human Virology, University of Maryland School of Medicine , Baltimore, MD , USA.
Charles N RotimiCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health , Bethesda, MD , USA.
National Human Genome Research Institute · USKwame Nkrumah University of Science and Technology · GHNational Institutes of Health · USUniversity of Ghana · GHUniversity of Ibadan · NGUniversity of Lagos · NGUniversity of Nigeria Teaching Hospital · NGUniversity of Maryland, Baltimore · US

Funding

Genetic epidemiology of complex diseasesZIAHG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2009 to 2025
$54.7M
Training Program in Nigeria for NCD Research (TRAPING - NCD)D43TW009106 · FIC · UNIVERSITY OF MARYLAND BALTIMORE · PI ADEBAMOWO, CLEMENT ADEBAYO · 2011 to 2015
$1.1M
MINORITY INTERNATIONAL RESEARCH TRAINING GRANTT37TW000041 · FIC · HOWARD UNIVERSITY · PI ADAMS-CAMPBELL, LUCILE L · 1993 to 1998
–
STUDIES OF THE NATURAL HISTORY AND TREATMENT OF CHRONIC HEPATITIS BZ01DK054001 · NIDDK · DIABETES, DIGESTIVE, KIDNEY DISEASES · PI HOOFNAGLE, JAY H. · 1992 to 2005
–
FIC NIH HHS D43 TW009106FIC NIH HHS T37 TW000041Intramural NIH HHS Z01 DK054001Intramural NIH HHS ZIA HG200362
6 · The paper itself

Abstract

backgroundDiabetes is a leading risk factor for impaired kidney function, an indicator of chronic kidney disease. The aim of this study was to examine the association between type 2 diabetes (T2D) and impaired kidney function among adults in sub-Saharan Africa (SSA).

methodsParticipants were enrolled from Ghana, Kenya, and Nigeria. Impaired kidney function was based on an estimated glomerular filtration rate <60 ml/min/1.73 m(2). Using logistic regression models, we conducted case-control analyses to estimate the multivariate-adjusted association of T2D and kidney function.

resultsWe used data from 4815 participants for whom the mean (SD) age was 48 (15) years, 41% were male and 46% had T2D. Those with T2D were more likely to have impaired kidney function [13.4% (95% CI: 11.9-14.7)] compared to those without T2D [4.8% (95% CI: 4.0-5.6)], p-value <0.001. The multivariate odds ratio of impaired kidney function among those with type 2 diabetes was 1.50 (95% CI: 1.17-1.91) p-value = 0.001, compared to those without T2D. Also, individuals with T2D who were at least 60 years old, obese, hypertensive or dyslipidemic were more likely to have impaired kidney function compared to those without T2D.

conclusionT2D was associated with 50% increased risk of impaired kidney function in this sample of adults from SSA. Interventions targeted at prevention, early diagnosis, and management of T2D are likely to reduce the burden of kidney disease in SSA.

Indexed as

diabetic kidney diseaseimpaired kidney functionkidney diseasesub-Saharan Africatype 2 diabetes

Identifiers

PMID27303364
PMCPMC4884893
OpenAlexW2409108456

What OpenQuestion holds

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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.