Evidence map›Paper›PMID 30753190›Full record

Trial reportPloS one2019

Serum creatinine and estimated glomerular filtration rates in HIV positive and negative adults in Ethiopia.

Daniel Yilma, Alemseged Abdissa, Pernille Kæstel, Markos Tesfaye, Mette F Olsen, Tsinuel Girma, Christian Ritz, Henrik Friis, Åse B Andersen, Ole Kirk

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Comparative Patterns in CKD among Native Israeli and Immigrant Ethnic Populations.Clinical journal of the American Society of Nephrology : CJASN · 2026
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  12. Kidney Disease in HIV Infection.Journal of clinical medicine · 2019
    Review
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

10 authors at 4 institutions in 2 countries.

Daniel YilmaDepartment of Internal Medicine, Jimma University, Jimma, Ethiopia.ORCID 0000-0001-6058-2696
Alemseged AbdissaDepartment of Laboratory Sciences and Pathology, Jimma University, Jimma, Ethiopia.ORCID 0000-0003-3798-5037
Pernille KæstelDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0003-2769-4666
Markos TesfayeDepartment of Psychiatry, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.ORCID 0000-0002-3351-701X
Mette F OlsenDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Tsinuel GirmaDepartment of Paediatric and Child Health, Jimma University, Jimma, Ethiopia.
Christian RitzDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Henrik FriisDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Åse B AndersenDepartment of Infectious Diseases, Rigshospitalet, Copenhagen and Research Unit of Infectious Diseases, Department of Clinical Research, University of Southern Denmark, Denmark.
Ole KirkDepartment of Infectious Diseases, Rigshospitalet, Copenhagen and Research Unit of Infectious Diseases, Department of Clinical Research, University of Southern Denmark, Denmark.
University of Copenhagen · DKJimma University · ETUniversity of Southern Denmark · DKSt. Paul's Hospital Millennium Medical College · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlomerular filtration rate estimating equations using serum creatinine are not validated in most African settings. We compared serum creatinine and estimated glomerular filtration rate (eGFR) in HIV positive and negative adults and assessed the performance of eGFR equations ((Cockcroft and Gault (CG), Modification of Diet in Renal Disease (MDRD), and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI)) compared to 24-hour creatinine clearance in HIV positive adults.

methodsData were collected on demographic, anthropometric, body composition, clinical parameters and serum creatinine in HIV positive and negative adults. 24-hour urine was collected from some of the HIV positive adults who volunteered. Bias was calculated as mean difference between 24-hr creatinine clearance and eGFR (eGFR- 24 hour creatinine clearance) and the accuracy of each eGFR equation was calculated as the percentage of estimates within 30% of creatinine clearance.

resultsA total of 340 HIV positive and 100 HIV negative adults were included in this study. Creatinine clearance was determined for 46 of HIV positive adults. Serum creatinine increased with increasing age, weight, height, body surface area, fat free mass and grip strength in both HIV positive and negative adults (P<0.05). No difference was observed in eGFR between HIV positive and HIV negative adults. For all eGFR equations, the correlation between eGFR and 24-hr creatinine clearance was 0.45-0.53 and the accuracy within 30% of 24-hr creatinine clearance was 24-46%. Removing ethnic coefficient reduced the bias and improved accuracy of the CKD-EPI and the MDRD estimates.

conclusionEthiopian HIV positive adults in the present study had good kidney function at the initiation of antiretroviral treatment. However, all eGFR equations overestimated 24-hr creatinine clearance in the study population. Creatinine based eGFR equations that accounts for low muscle mass and body surface area are needed.

Indexed as

AdultAlgorithmsBlack PeopleBody CompositionBody Surface AreaCreatinineEthiopiaFemaleGlomerular Filtration RateHIVHIV InfectionsHIV SeropositivityHumansKidney Function TestsMaleRenal Insufficiency, ChronicCreatinine

Identifiers

PMID30753190
PMCPMC6372225
OpenAlexW2915011069

What OpenQuestion holds

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LicenceCC BY
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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.