Evidence map›Paper›PMID 35790821›Full record

ArticleScientific reports2022

Post-mortem evidence of a diverse distribution pattern of atherosclerosis in the South African population.

Walter J Janse van Rensburg

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

1 author at 1 institution in 1 country.

Walter J Janse van RensburgHuman Molecular Biology Unit, School of Biomedical Sciences, Faculty of Health Sciences, University of the Free State, PO Box 339 (G2), Bloemfontein, Free State, South Africa. jansevrwj@ufs.ac.za.
University of the Free State · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases (CVDs) are the number one cause of mortality worldwide. The disease profile of CVD varies considerably between different demographic groups and socioeconomic status. Atherosclerosis remains a major risk factor for CVD, and thus, believed to be a good indicator of the CVD profile in a population, yet little is known on its prevalence in sub-Saharan African populations. We aimed to determine the prevalence of atherosclerosis in a diverse South African population as found with post-mortem investigations. A retrospective file-audit was done on 10,240 forensic post-mortem reports done at a forensic pathology mortuary in South Africa, over 10-years. European descent males had the highest prevalence, with roughly one-quarter having coronary artery (CA) or large vessel (LV) atherosclerosis. European descent females followed closely, with one-fifth of the population having CA atherosclerosis and approximately a quarter having LV atherosclerosis. African descent males and females had a substantially lower prevalence in atherosclerosis for both CAs and LVs than European descendants. The mixed-ancestry population had a slightly higher prevalence of atherosclerosis in CAs and LVs than in the African population; however, it was still far lower than the European group. Some deviations in prevalence were noted within certain groups over the course of 10-years. The substantial difference in prevalence of atherosclerosis shows that in our region a diverse distribution pattern between ethnic groups and genders is present. However, follow-up studies are required to elucidate aetiological factors in cardiovascular health in our region.

Indexed as

AtherosclerosisCardiovascular DiseasesBlack PeopleFemaleHumansMaleRetrospective StudiesSouth Africa

Identifiers

PMID35790821
PMCPMC9256632
OpenAlexW4284681461

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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.