Evidence map›Paper›PMID 38156447›Full record

ArticleJournal of the American Heart Association2024

Prevalence of and Risk Factors for Peripheral Artery Disease in Rural South Africa: A Cross-Sectional Analysis of the HAALSI Cohort.

Erika Teresa Beidelman, Molly Rosenberg, Alisha N Wade, Nigel J Crowther, Corey A Kalbaugh

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

5 authors at 3 institutions in 2 countries.

Erika Teresa BeidelmanDepartment of Epidemiology and Biostatistics Indiana University Bloomington School of Public Health Bloomington IN USA.ORCID 0000-0003-0702-2512
Molly RosenbergDepartment of Epidemiology and Biostatistics Indiana University Bloomington School of Public Health Bloomington IN USA.ORCID 0000-0001-6679-6791
Alisha N WadeMRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health University of the Witwatersrand Johannesburg, South Africa Faculty of Health Sciences Johannesburg South Africa.ORCID 0000-0002-1158-2523
Nigel J CrowtherDepartment of Chemical Pathology National Health Laboratory Service, University of the Witwatersrand Johannesburg Faculty of Health Sciences Johannesburg South Africa.ORCID 0000-0002-5766-1745
Corey A KalbaughDepartment of Epidemiology and Biostatistics Indiana University Bloomington School of Public Health Bloomington IN USA.ORCID 0000-0002-7455-0369
Indiana University Bloomington · USNational Health Laboratory Service · ZAUniversity of the Witwatersrand · ZA

Funding

SOCIAL AND ECONOMIC PREDICTORS OF PHYSICAL AND COGNITIVE FUNCTIONP01AG041710 · NIA · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Michele Michele Ramsay · 2013 to 2026
$37.3M
Endocrine and metabolic diseases in rural South Africa-establishing burden and improving detectionK43TW010698 · FIC · WITS HEALTH CONSORTIUM (PTY), LTD · PI WADE, ALISHA NICOLE · 2017 to 2021
$581k
FIC NIH HHS K43 TW010698NIA NIH HHS P01 AG041710
6 · The paper itself

Abstract

backgroundThe burden of peripheral artery disease (PAD) is increasing in low- and middle-income countries. Existing literature from sub-Saharan Africa is limited and lacks population-representative estimates. We estimated the burden and risk factor profile of PAD for a rural South African population. METHODS AND

resultsWe used data from 1883 participants from a rural, low-income cohort of South African adults aged 40 to 69 years with available ankle-brachial index measurements. We defined clinical PAD as ankle-brachial index ≤0.90 or >1.40, and borderline PAD as ankle-brachial index >0.90 and ≤1.00. We compared the distribution of sociodemographic variables, biomarkers, and comorbidities across PAD classifications. To identify associated factors, we calculated unadjusted and age-sex-adjusted prevalence ratios (PRs) with log-binomial models. Overall, 6.6% (95% CI, 5.6-7.7) of the sample met the diagnostic criteria for clinical PAD, while 44.7% (95% CI, 42.4-47.0) met the diagnostic criteria for borderline PAD. Age (PR: 1.9 [95% CI, 1.2-3.1] for ages 50-59 years compared with 40-49 years; PR: 2.5 [95% CI, 1.5-4.0] for ages 60-69 years compared with 40-49 years); diagnosed hypertension (PR: 1.53 [95% CI, 1.08-2.17]); and C-reactive protein (PR: 1.08 [95% CI, 1.03-1.12]) were associated with increased prevalence of clinical PAD. All other examined factors were not significantly associated with clinical PAD.

conclusionsWe found high PAD prevalence for younger age groups compared with previous research and a lack of statistical evidence for the influence of traditional risk factors for this rural, low-income population. Future research should focus on identifying the underlying risk factors for PAD in this setting. South African policymakers and clinicians should consider expanded screening for early PAD detection in rural areas.

Indexed as

Peripheral Arterial DiseaseAdultAnkle Brachial IndexCross-Sectional StudiesHumansPrevalenceRisk FactorsSouth Africaperipheral artery diseaseprevalencerisk factorsSouth Africa

Identifiers

PMID38156447
PMCPMC10863815
OpenAlexW4390410988

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.