Evidence map›Paper›PMID 26138261›Full record

ArticleClinical journal of the American Society of Nephrology : CJASN2015

Human Heredity and Health (H3) in Africa Kidney Disease Research Network: A Focus on Methods in Sub-Saharan Africa.

Charlotte Osafo, Yemi Raheem Raji, David Burke, Bamidele O Tayo, Nicki Tiffin, Marva M Moxey-Mims, Rebekah S Rasooly, Paul L Kimmel, Akinlolu Ojo, Dwomoa Adu and 2 more

Abstract readMulticenter Study
In one paragraph

Article in Clinical journal of the American Society of Nephrology : CJASN, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

43 citing papers in PubMed, 54 citations in OpenAlex.

  1. Cardiovascular Disease in CKD: Ethnic and Regional Differences in Risk and Phenotype.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Review
  2. Article
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  7. The New England journal of medicine · 2025
    Article
  8. The Value Proposition of Coordinated Population Cohorts Across Africa.Annual review of biomedical data science · 2024
    Review
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  16. Review
  17. Developing and Validating Risk Algorithm for Hypertension in South Africa: Results from a Nationally Representative Cohort (2008-2017).High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2022
    Article
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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

12 authors at 8 institutions in 5 countries.

Charlotte OsafoDepartment of Medicine and Therapeutics, University of Ghana, Accra, Ghana;
Yemi Raheem RajiDepartment of Medicine, University of Ibadan, Ibadan, Nigeria;
David BurkeDepartment of Human Genetics and.
Bamidele O TayoDepartment of Public Health Sciences, Loyola University Chicago, Maywood, Illinois;
Nicki TiffinSouth African National Bioinformatics Institute/Medical Research Council of South Africa Bioinformatics Unit, University of the Western Cape, Cape Town, South Africa;
Marva M Moxey-MimsNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland;
Rebekah S RasoolyNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland;
Paul L KimmelNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland;
Akinlolu OjoDepartment of Medicine, University of Michigan Medical School, Ann Arbor, Michigan;
Dwomoa AduDepartment of Medicine and Therapeutics, University of Ghana, Accra, Ghana; dwoms15@gmail.com.
Rulan S ParekhDepartments of Pediatrics and Medicine, Hospital for Sick Children, University of Health Network, University of Toronto, Toronto, Ontario, Canada.
H3Africa Kidney Disease Research Network Investigators as members of The H3Africa Consortium
National Institutes of Health · USUniversity of Ghana · GHHospital for Sick Children · CALoyola University Chicago · USNational Institute of Diabetes and Digestive and Kidney Diseases · USUniversity of Ibadan · NGUniversity of Michigan–Ann Arbor · USUniversity of the Western Cape · ZA

Funding

H3Africa Kidney Disease Research NetworkU54HG006939 · NHGRI · NOGUCHI MEMORIAL INSTITUTE / MEDICAL RES · PI ADU, DWOMOA, OJO, AKINLOLU OLUSEUN · 2012 to 2017
$6.1M
Identification and function of new genes causing childhood nephrotic syndromeR01DK076683 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HILDEBRANDT, FRIEDHELM · 2007 to 2021
$5.3M
Stroke and Cardiovascular Research Training (SCaRT) InstituteD43TW009140 · FIC · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADANU, RICHARD M K, ALABI, SULYMAN BIODUN · 2011 to 2023
$2.5M
FIC NIH HHS D43 TW009140NHGRI NIH HHS 1U54-HG006939-01NHGRI NIH HHS U54 HG006939NIDDK NIH HHS R01 DK076683
6 · The paper itself

Abstract

CKD affects an estimated 14% of adults in sub-Saharan Africa, but very little research has been done on the cause, progression, and prevention of CKD there. As part of the Human Heredity and Health in Africa (H3Africa) Consortium, the H3Africa Kidney Disease Research Network was established to study prevalent forms of kidney disease in sub-Saharan Africa and increase the capacity for genetics and genomics research. The study is performing comprehensive phenotypic characterization and analyzing environmental and genetic factors from nine clinical centers in four African countries (Ghana, Nigeria, Ethiopia, and Kenya) over a 5-year period. Approximately 4000 participants with specified kidney disease diagnoses and 4000 control participants will be enrolled in the four African countries. In addition, approximately 50 families with hereditary glomerular disease will be enrolled. The study includes both pediatric and adult participants age <1 to 74 years across a broad spectrum of kidney diseases secondary to hypertension-attributed nephropathy, diabetes, HIV infection, sickle cell disease, biopsy-proven glomerular disease, and CKD of unknown origin. Clinical and demographic data with biospecimens are collected to assess clinical, biochemical, and genetic markers of kidney disease. As of March 2015, a total of 3499 patients and controls have been recruited and 1897 had complete entry data for analysis. Slightly more than half (50.2%) of the cohort is female. Initial quality control of clinical data collection and of biosample and DNA analysis is satisfactory, demonstrating that a clinical research infrastructure can be successfully established in Africa. This study will provide clinical, biochemical, and genotypic data that will greatly increase the understanding of CKD in sub-Saharan Africa.

Indexed as

AdolescentAdultAfrica South of the SaharaAgedBiomedical ResearchCase-Control StudiesChildChild, PreschoolComputational BiologyCooperative BehaviorFemaleGenetic Predisposition to DiseaseGenomicsHeredityHumansInfantAfricansAPOL1CKDESRDgenes

Identifiers

PMID26138261
PMCPMC4670777
OpenAlexW1903917350

What OpenQuestion holds

Textmetadata
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.