Evidence map›Paper›PMID 32854641›Full record

ArticleBMC nephrology2020

Prevalence, concordance and associations of chronic kidney disease by five estimators in South Africa.

Nasheeta Peer, Jaya George, Carl Lombard, Krisela Steyn, Naomi Levitt, Andre-Pascal Kengne

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 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
    Pooled it
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  4. Observational
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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

6 authors at 3 institutions in 1 country.

Nasheeta PeerNon-communicable Diseases Research Unit, South African Medical Research Council, Durban and Cape Town, South Africa. nasheeta.peer@mrc.ac.za.ORCID 0000-0003-2131-8344
Jaya GeorgeDepartment of Chemical Pathology, University of the Witwatersrand, and National Health Laboratory Services, Johannesburg, South Africa.
Carl LombardBiostatistics Unit, South African Medical Research Council, Cape Town, South Africa.
Krisela SteynChronic Disease Initiative for Africa, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Naomi LevittDepartment of Medicine, University of Cape Town, Cape Town, South Africa.
Andre-Pascal KengneNon-communicable Diseases Research Unit, South African Medical Research Council, Durban and Cape Town, South Africa.
South African Medical Research Council · ZAUniversity of Cape Town · ZANational Health Laboratory Service · ZA

Funding

South African Medical Research Council SAMRC-RFA-IRF-02-2016
6 · The paper itself

Abstract

backgroundTo determine the prevalence, distribution, concordance and associations of chronic kidney disease (CKD) determined by five glomerular filtration rate (GFR) formulae in urban black residents of Cape Town.

methodsData collection in this cross-sectional study included interviews, clinical measurements and biochemical analyses, including serum creatinine and cystatin C levels. GFR was based on the CKD Epidemiology Collaboration (CKD-EPI) equations (CKD-EPI creatinine (CKD-EPIcr), CKD-EPI cystatin C (CKD-EPIcys), CKD-EPI creatinine-cystatins (CKD-EPIcr-cys)), Modification of Diet in Renal Disease (MDRD) and Cockcroft-Gault formula (CGF). GFR < 60 mL/min/1.73 m

resultsAmong 392 men and 700 women, mean GFR, was between 114.0 (CKD-EPIcr) and 135.4 mL/min/1.73 m

conclusionsVarying CKD prevalence estimates, because of different GFR equations used, underscores the need to improve accuracy of CKD diagnoses. Furthermore, screening for CKD should be incorporated into the routine assessment of high-risk patients such as those with hypertension or diabetes.

Indexed as

Black PeopleGlomerular Filtration RateAdultAgedCholesterol, LDLCreatinineCystatin CFemaleHeart RateHumansHypertensionMaleMiddle AgedPrevalencePrognosisRenal Insufficiency, ChronicCholesterol, LDLCreatinineCystatin CChronic kidney diseaseCKD-EPICockcroft-GaultCystatin CMDRDSouth Africa

Identifiers

PMID32854641
PMCPMC7451105
OpenAlexW3082142778

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.