Evidence map›Paper›PMID 36952493›Full record

SynthesisPloS one2023

Review of electrocardiographic abnormalities among people living with HIV in Sub-Saharan Africa: A systematic review.

Andrew Weil Semulimi, Andrew Peter Kyazze, Edward Kyalo, John Mukisa, Charles Batte, Felix Bongomin, Isaac Ssinabulya, Bruce J Kirenga, Emmy Okello

Open access · goldFull text readSystematic Review
In one paragraph

Synthesis in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Observational
  3. 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

9 authors at 2 institutions in 1 country.

Andrew Weil SemulimiDepartment of Medicine, Lung Institute, College of Health Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0003-0588-1559
Andrew Peter KyazzeDepartment of Physiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda.ORCID 0000-0002-9002-4510
Edward KyaloDepartment of Medicine, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.
John MukisaDepartment of Immunology and Molecular Biology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda.
Charles BatteDepartment of Medicine, Lung Institute, College of Health Sciences, Makerere University, Kampala, Uganda.
Felix BongominFaculty of Medicine, Department of Medical Microbiology & Immunology, Gulu University, Gulu, Uganda.
Isaac SsinabulyaDepartment of Medicine, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.
Bruce J KirengaDepartment of Medicine, Lung Institute, College of Health Sciences, Makerere University, Kampala, Uganda.
Emmy OkelloDepartment of Medicine, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.
Makerere University · UGGulu University · UG

Funding

Training in noncommunicable diseases epidemiological, data science and Implementation Science research to strengthen evidence-based interventions, policy and control in Uganda.D43TW011401 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI Charles Batte, William Checkley · 2019 to 2026
$1.8M
FIC NIH HHS D43 TW011401
6 · The paper itself

Abstract

introductionElectrocardiographic (ECG) abnormalities are increasingly being reported among people living with HIV (PLWH). However, the exact prevalence of ECG abnormalities among PLWH in Sub-Saharan Africa (SSA), a region with one of the highest burdens of HIV, is not known. Through a systematic review, we determined the prevalence and patterns of ECG abnormalities among PLWH in SSA.

methodsWe conducted a search in online databases including EMBASE, MEDLINE, CINAHL and Research for Life for studies published between 1st January 2000 and 31st December 2020. Studies reporting any form of ECG abnormalities published in English were screened and reviewed for eligibility. Retrieved studies were assessed for validity using the modified Newcastle-Ottawa Scale. Data was summarized qualitatively, and ECG abnormalities were further subcategorized into rate, conduction, and rhythm abnormalities as well as atrial and ventricular enlargements.

resultsWe retrieved seventeen of the 219 studies assessed for eligibility published between 2001 and 2020, with a total of 2,572 eligible participants. The mean age of the participants ranged between 6.8 years and 58.6 years. Of the 17 studies, 8 (47%) were case-control, 6 (35.3%) cross-sectional and 3 (17.6%) were cohort in design. Thirteen studies were conducted in the adult population while four were conducted in the pediatric population. The prevalence of ECG abnormalities ranged from 10% to 81% and 6.7% to 26.5% in the adult and pediatric population respectively. Among studies done in the adult population, conduction abnormalities were the most reported (9 studies) with a prevalence ranging from 3.4% to 53.5%. In the pediatric population, rate abnormalities were the most reported (4 studies) with a prevalence ranging from 3.9% to 20.9%. The heterogeneity in results could be attributed to the absence of uniform criteria to define ECG abnormalities.

conclusionOur findings highlight a high prevalence of ECG abnormalities among PLWH in SSA. Consideration of ECG in the comprehensive evaluation of cardiac dysfunction among PLWH in SSA maybe warranted.

Indexed as

HIV InfectionsAdultAfrica South of the SaharaCardiomegalyChildCross-Sectional StudiesHumansPrevalence

Identifiers

PMID36952493
PMCPMC10035850
OpenAlexW4360609100

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read78
reference markers read36
identifiers read8
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.