Evidence map›Paper›PMID 34282184›Full record

ArticleScientific reports2021

The effect of eligibility for antiretroviral therapy on body mass index and blood pressure in KwaZulu-Natal, South Africa.

Aditi Kuber, Anna Reuter, Pascal Geldsetzer, Natsayi Chimbindi, Mosa Moshabela, Frank Tanser, Till Bärnighausen, Sebastian Vollmer

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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
–field-weighted citation impact, top 87% 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, 0 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

8 authors at 3 institutions in 4 countries.

Aditi Kuber *Department of Economics, University of Goettingen, Göttingen, Germany.
Anna Reuter *Department of Economics, University of Goettingen, Göttingen, Germany. anna.reuter@uni-goettingen.de.
Pascal GeldsetzerDivision of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, USA.
Natsayi ChimbindiAfrica Health Research Institute, Durban, South Africa.
Mosa MoshabelaAfrica Health Research Institute, Durban, South Africa.
Frank TanserAfrica Health Research Institute, Durban, South Africa.
Till BärnighausenAfrica Health Research Institute, Durban, South Africa.
Sebastian VollmerDepartment of Economics, University of Goettingen, Göttingen, Germany.
Africa Health Research Institute · ZAUniversity of Göttingen · DEStanford University · US

Funding

Institutional Career Development Core (KL2)KL2TR003143 · NCATS · STANFORD UNIVERSITY · PI ASCH, STEVEN M. · 2019 to 2023
$8.7M
NCATS NIH HHS KL2 TR003143
6 · The paper itself

Abstract

We use a regression discontinuity design to estimate the causal effect of antiretroviral therapy (ART) eligibility according to national treatment guidelines of South Africa on two risk factors for cardiovascular disease, body mass index (BMI) and blood pressure. We combine survey data collected in 2010 in KwaZulu-Natal, South Africa, with clinical data on ART. We find that early ART eligibility significantly reduces systolic and diastolic blood pressure. We do not find any significant effects on BMI. The effect on blood pressure can be detected up to three years after becoming eligible for ART.

Indexed as

Body Mass IndexHIV InfectionsAdolescentAdultAgedAged, 80 and overAnti-Retroviral AgentsBlood PressureCross-Sectional StudiesFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedPatient SelectionPopulation SurveillanceAnti-Retroviral Agents

Identifiers

PMID34282184
PMCPMC8289961
OpenAlexW3185158168

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.