Evidence map›Paper›PMID 39495780›Full record

SynthesisPloS one2024

Prevalence of chronic kidney disease among young people living with HIV in Sub Saharan Africa: A systematic review and meta-analysis.

Esther M Nasuuna, Nicholus Nanyeenya, Davis Kibirige, Jonathan Izudi, Chido Dziva Chikwari, Robert Kalyesubula, Barbara Castelnuovo, Laurie A Tomlinson, Helen A Weiss

Erratum issuedAbstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
–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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Review
  8. Aging of adult lifetime survivors with perinatal HIV.Current opinion in HIV and AIDS · 2025
    Review
  9. Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Esther M NasuunaMedical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Noncommunicable Diseases Program, Entebbe, Uganda.ORCID 0000-0003-2923-6482
Nicholus NanyeenyaDepartment of Epidemiology and Biostatistics, School of Public Health, Makerere University College of Health Sciences, Kampala, Uganda.
Davis KibirigeMedical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Noncommunicable Diseases Program, Entebbe, Uganda.
Jonathan IzudiInfectious Diseases Institute, Makerere University, College of Health Sciences, Kampala, Uganda.ORCID 0000-0001-9065-0389
Chido Dziva ChikwariBiomedical Research and Training Institute, Harare, Zimbabwe.
Robert KalyesubulaMedical Research Council/Uganda Virus Research Institute and London School of Hygiene and Tropical Medicine Uganda Research Unit, Noncommunicable Diseases Program, Entebbe, Uganda.
Barbara CastelnuovoInfectious Diseases Institute, Makerere University, College of Health Sciences, Kampala, Uganda.
Laurie A TomlinsonDepartment of non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Helen A WeissMRC International Statistics and Epidemiology Group, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0003-3547-7936

Funding

HIV Co-infections in Uganda: TB, Cryptococcus, and Viral Hepatitis.D43TW009771 · FIC · JOHNS HOPKINS UNIVERSITY · PI CASTELNUOVO, BARBARA, KAMBUGU, ANDREW DDUNGU · 2014 to 2023
$3.3M
FIC NIH HHS D43 TW009771
6 · The paper itself

Abstract

backgroundGlobally, the prevalence of chronic kidney disease (CKD) is increasing among young people living with HIV (YPLHIV), with inconsistent estimates. Aggregated data on the prevalence of CKD are needed in sub-Saharan Africa (SSA) to inform strategies for early diagnosis and management. We conducted a systematic review and meta-analysis to estimate the pooled prevalence of CKD among YPLHIV in SSA.

methodsWe searched Medline/PubMed, EMBASE, African Index Medicus, and African Journals Online for articles reporting the prevalence of CKD among YPLHIV in SSA using predefined search strategies up to 15th January 2024. The reference lists of identified articles were checked for additional eligible studies. The eligibility criteria were studies among YPLHIV aged 10-24 years reporting CKD prevalence defined by either glomerular filtration rate (GFR), albumin-to-creatinine ratio (ACR) or proteinuria. We used a narrative synthesis to report differences between the included studies. The DerSimonian-Laird random effects model was used to pool the CKD prevalence, and heterogeneity was assessed using the Cochrane Q-test and I-squared values. We assessed the risk of bias in each article using the Joanna Briggs Institute checklist and publication bias in a funnel plot and Egger's test.

resultsOf 802 retrieved articles, 15 fulfilled the eligibility criteria and were included in the meta-analysis. Of these, 12 (80%) were cross-sectional studies that used estimated GFR to diagnose CKD. Only one study followed the standard definition of CKD. The pooled CKD prevalence from 15 studies was 12% (95% CI 6.0-19.5%), ranging from 0.8% to 53.1% according to the definition used, with a high degree of heterogeneity (I2 = 97.7%, p<0.001). The included studies were of moderate quality, with no evidence of publication bias. Sensitivity analysis showed that the findings were robust to the methodological and analytic approach.

conclusionCKD prevalence among YPLHIV is moderately high and highly heterogeneous across SSA. The standard definition of CKD should be used to enable estimation of CKD prevalence in different studies and settings. HIV programs enrolling YPLHIV should routinely screen for CKD to ensure early diagnosis and management.

trial registrationPROSPERO registration number: CRD42022347588.

Indexed as

HIV InfectionsRenal Insufficiency, ChronicAdolescentAfrica South of the SaharaChildGlomerular Filtration RateHumansPrevalenceYoung Adult

Identifiers

PMID39495780
PMCPMC11534254

What Socratic 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 Socratic graph.