Evidence map›Paper›PMID 35309286›Full record

ArticleThe lancet. Healthy longevity2021

Systolic blood pressure and six-year mortality in South Africa: Evidence from a country-wide population-based cohort study.

Alpha Oumar Diallo, Mohammed K Ali, Pascal Geldsetzer, Emily W Gower, Trasias Mukama, Ryan G Wagner, Justine Davies, Maarten J Bijlsma, Nikkil Sudharsanan

Open access · goldAbstract read
In one paragraph

Article in The lancet. Healthy longevity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. A qualitative study to examine meaningful change in physical function associated with weight-loss.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 5 countries.

Alpha Oumar DialloDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Mohammed K AliHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Pascal GeldsetzerDivision of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, USA.
Emily W GowerDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Trasias MukamaHeidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.
Ryan G WagnerMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Justine DaviesMRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Maarten J BijlsmaMax Planck Institute for Demographic Research, Rostock, Germany.
Nikkil SudharsananHeidelberg Institute of Global Health, Heidelberg University, Heidelberg, Germany.
Agincourt Health and Socio-Demographic Surveillance System · ZAHeidelberg University · DEUniversity of North Carolina at Chapel Hill · USEmory University · USMax Planck Institute for Demographic Research · 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

Background: Improving hypertension control is an important global health priority yet, to our knowledge, there is no direct evidence on the blood pressure (BP)-mortality relationship in sub-Saharan Africa. We investigate the BP-mortality relationship in South Africa and assess the comparative effectiveness of different care targets for clinical care and population-wide hypertension management efforts. Methods: We use country-wide population-based longitudinal data from five waves (2008 - 2017) of the South African National Income Dynamics Study (N = 4,993). We estimate the relationship between systolic BP (SBP) and six-year all-cause mortality and compare the mortality reductions associated with lowering SBP to different targets. We then estimate the number needed to treat to avert one death (NNT) under different hypothetical population-wide scale up scenarios. Findings: We found a weak, nonlinear, SBP-mortality relationship with larger incremental mortality benefits at higher SBP values: reducing SBP from 160 to 150 mmHg was associated with a mortality risk ratio of 0.95 (95% CI: 0.90, 0.99, p = 0.033), incrementally reducing SBP from 150 to 140 mmHg a risk ratio of 0.96 (95% CI: 0.91, 1.01, p = 0.12), with no evidence of incremental benefits of reducing BP below 140 mmHg. At the population level, reducing SBP to 150 mmHg among all those with an SBP > 150 mmHg had the lowest NNT (50) at 3.3 deaths averted (95% CI: -0.6, 0.3) per 1,000 population while requiring BP management for 16% (95% CI: 15.2, 17.3) of individuals. Interpretation: The SBP-mortality association is weaker in South Africa than in high-income and many low- and middle-income countries. As such, we do not find compelling evidence in support of targets below 140 mmHg and find that scaling up management based on a 150 mmHg target is more efficient in terms of the NNT compared to strategies to reduce SBP to lower values.

Indexed as

Antihypertensive AgentsHypertensionBlood PressureCohort StudiesHumansSouth AfricaAntihypertensive Agentshealth policyhypertensionlongevitymortalityprimary caresub-Saharan Africa

Identifiers

PMID35309286
PMCPMC8932102
OpenAlexW3123087354

What OpenQuestion holds

Textmetadata
LicenceTDM
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.