Evidence mapPaperPMID 41640539Full record

SynthesisAfrican health sciences2025

Burden and distribution of chronic kidney disease in sub-saharan africa: a systematic review with meta-analysis.

Martins Nweke, Theresa Ado-Aghughu, Tobi Daniels, Uzunma Imo

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in African health sciences, 2025. 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
field-weighted citation impact
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.

  1. 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

4 authors.

Martins NwekeEvangel University Akaeze, Physiotherapy.
Theresa Ado-AghughuUniversity of Benin, Physiotherapy.
Tobi DanielsEvangel University Akaeze, Physiotherapy.
Uzunma ImoEvangel University Akaeze, Physiotherapy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic kidney disease (CKD) is fast becoming a leading non-communicable disease in sub-Saharan Africa. Efforts directed at mitigating CKD will thrive on precise and accurate estimation of CKD burden, which often varies widely owing to study characteristics like methods of estimating Glomerular Filtration Rate (GFR) and study population. Objective: To determine the burden of CKD and distribution of this burden in sub-Saharan Africa based on study characteristics. Methods: Involved systematic review of articles peer-reviewed literature published in English. Review was conducted consistent with Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. Data sources for review include MEDLINE, PubMed, CINAHL, Academic Search Complete, African wide information and articles that reported prevalence of chronic kidney disease in sub-Saharan Africa. Bias risk assessment was conducted using mixed-method appraisal tool. Random-effect model of meta-analysis was employed to quantify effects of variation study characteristics on burden of chronic kidney disease in sub-Saharan Africa. Result: Showed statistically significant difference in CKD prevalence by study population (F=2.547, p=.019) and epidemiological significance difference in GFR estimate method with Schwartz approach (35%). Conclusion: CKD remains a public health issue in sub-Saharan Africa and the distribution varies widely according to region, study population and method of estimating GFR.

Indexed as

Renal Insufficiency, ChronicAfrica South of the SaharaGlomerular Filtration RateHumansPrevalenceChronic kidney diseasemeta-analysissub-saharan africasystematic review

Identifiers

PMID41640539
PMCPMC12865082

What Socratic 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 Socratic graph.