Evidence map›Paper›PMID 37158821›Full record

ArticleBMC nephrology2023

Comparison of CG, CKD-EPI[AS] and CKD-EPI[ASR] equations to estimate glomerular filtration rate and predict mortality in treatment naïve people living with HIV in Zimbabwe.

Mitchell Hunter-Dickson, Douglas Drak, Matthew Anderson, Tinei Shamu, Cleophas Chimbetete, Rumbidzai Dahwa, David M Gracey

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 2 countries.

Mitchell Hunter-DicksonDepartment of Renal Medicine, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.
Douglas DrakCentral Clinical School, Faculty of Medicine, The University of Sydney, Sydney, Australia.
Matthew AndersonDepartment of Renal Medicine, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.
Tinei ShamuNewlands Clinic, Newlands, Harare, Zimbabwe.
Cleophas ChimbeteteNewlands Clinic, Newlands, Harare, Zimbabwe.
Rumbidzai DahwaFaculty of Medicine and Health Sciences, University of Zimbabwe, Harare, Zimbabwe.
David M GraceyDepartment of Renal Medicine, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.
Royal Prince Alfred Hospital · AUUniversity of Sydney · AUUniversity of Zimbabwe · ZW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRenal impairment in people living with HIV (PWH) in Sub-Saharan Africa is common and associated with increased morbidity and mortality. The ideal equation to estimate glomerular filtration rate (eGFR) in this population remains unclear. That which best predicts clinical risk may be the most appropriate while validation studies are awaited. Here we compare the Cockcroft-Gault (CG), Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI[ASR]) and the CKD-EPI equation with the race coefficient removed (CKD-EPI[AS]), in a population of anti-retroviral therapy (ART) naïve PWH in Zimbabwe to assess which equation best predicts mortality.

methodsA retrospective cohort study of treatment naïve PWH at the Newlands Clinic in Harare, Zimbabwe was completed. The study included all patients commencing ART between 2007 and 2019. Predictors of mortality were assessed by multivariable logistic regression.

resultsA total of 2991 patients were followed-up for a median of 4.6 years. The cohort was 62.1% female, with 26.1% of patients having at least one comorbidity. The CG equation identified 21.6% of patients as having renal impairment compared with 17.6% with CKD-EPI[AS] and 9.3% with CKD-EPI[ASR]. There was a mortality rate of 9.1% across the study period. The highest mortality risk was seen in those with renal impairment as determined by the CKD-EPI[ASR] equation for both eGFR < 90 and eGFR < 60 with OR 2.97 (95%CI 1.86-4.76) and OR 10.6 (95%CI 3.15-18.04) respectively.

conclusionIn treatment naïve PWH in Zimbabwe, the CKD-EPI[ASR] equation identifies patients at highest risk of mortality when compared to the CKD-EPI[AS] and CG equations.

Indexed as

Glomerular Filtration RateHIV InfectionsRenal Insufficiency, ChronicFemaleHumansMaleRenal InsufficiencyRetrospective StudiesZimbabweHIVRenal insufficiencyScreeningZimbabwe

Identifiers

PMID37158821
PMCPMC10169375
OpenAlexW4375860011

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.