Evidence map›Paper›PMID 37573867›Full record

ArticleThe lancet. Healthy longevity2023

Impact of hypertension prevalence trend on mortality and burdens of dementia and disability in England and Wales to 2060: a simulation modelling study.

Yuntao Chen, Marzieh Araghi, Piotr Bandosz, Martin J Shipley, Sara Ahmadi-Abhari, Sophia Lobanov-Rostovsky, Tishya Venkatraman, Mika Kivimaki, Martin O'Flaherty, Eric J Brunner

Abstract read
In one paragraph

Article in The lancet. Healthy longevity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Yuntao ChenDepartment of Epidemiology and Public Health, University College London, London, UK. Electronic address: yuntao.chen@ucl.ac.uk.
Marzieh AraghiDepartment of Epidemiology and Public Health, University College London, London, UK.
Piotr BandoszDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK; Division of Prevention Medicine & Education, Medical University of Gdansk, Gdansk, Poland.
Martin J ShipleyDepartment of Epidemiology and Public Health, University College London, London, UK.
Sara Ahmadi-AbhariAgeing Epidemiology Research Unit, School of Public Health, Imperial College London, London, UK.
Sophia Lobanov-RostovskyDepartment of Epidemiology and Public Health, University College London, London, UK.
Tishya VenkatramanDepartment of Epidemiology and Public Health, University College London, London, UK.
Mika KivimakiDepartment of Epidemiology and Public Health, University College London, London, UK.
Martin O'FlahertyDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.
Eric J BrunnerDepartment of Epidemiology and Public Health, University College London, London, UK.

Funding

Education, socioeconomic status and Aging: transitions from multimorbidity to functional limitations and mortalityR01AG056477 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2018 to 2022
$2.8M
Role of mid- and late-life risk factors in social inequalities in Alzheimer's Disease and Related DementiasRF1AG062553 · NIA · INSERM PARIS 5 · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2019 to 2019
$1.5M
British Heart Foundation RG/16/11/32334Medical Research Council MR/R024227/1Medical Research Council MR/S011676/1Medical Research Council R024227Medical Research Council S011676NIA NIH HHS R01 AG056477NIA NIH HHS RF1 AG062553Wellcome TrustWellcome Trust 221854/Z/20/Z
6 · The paper itself

Abstract

backgroundPrevious estimates of the impact of public health interventions targeting hypertension usually focus on one health outcome. This study aims to consider the effects of change in future hypertension prevalence on mortality, dementia, and disability simultaneously.

methodsWe modelled three plausible scenarios based on observed trends of hypertension prevalence from 2003 to 2017 in England: observed trends continue (baseline scenario); 2017 prevalence remains unchanged; and 2017 prevalence decreases by 50% by 2060. We used a probabilistic Markov model to integrate calendar trends in incidence of cardiovascular disease, dementia, disability, and mortality to forecast their future occurrence in the population of England and Wales. Assuming the hypertension prevalence trend modifies health transition probabilities, we compared mortality outcomes and the burden of dementia and disability to 2060 for the scenarios.

findingsIf the decline in hypertension prevalence stops, there would be a slight increase in the number of additional deaths to 2060 (22·9 [95% uncertainty interval 19·0-26·6] more deaths per 100 000 population), although the burdens of disability and dementia in absolute terms would change little. Alternatively, if the downward hypertension prevalence trend accelerates (with prevalence falling by 50% between 2017 and 2060), there would be a modest additional reduction in deaths (57·0 [50·4-63·5] fewer deaths per 100 000 population), a small increase in dementia burden (9·0 [5·1-13·2] more cases per 100 000 population), no significant effect on disability burden, and an 8% gain in healthy life expectancy at age 65 years from 2020 to 2060 (5·3 years vs 4·9 years) compared with the baseline scenario.

interpretationThe major future impact of alternative hypertension prevention strategies appears to be on future life expectancy. The salutary effect of lower population blood pressure distribution on incidence of dementia and disability might not offset expansion of the susceptible population due to reduced mortality.

fundingBritish Heart Foundation and UK Economic and Social Research Council.

Indexed as

DementiaHypertensionAgedHumansLife ExpectancyPrevalenceWales

Identifiers

PMID37573867
PMCPMC11108803

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.