Evidence map›Paper›PMID 28736759›Full record

ArticleThe Lancet. Public health2017

Forecasted trends in disability and life expectancy in England and Wales up to 2025: a modelling study.

Maria Guzman-Castillo, Sara Ahmadi-Abhari, Piotr Bandosz, Simon Capewell, Andrew Steptoe, Archana Singh-Manoux, Mika Kivimaki, Martin J Shipley, Eric J Brunner, Martin O'Flaherty

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Article in The Lancet. Public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 5 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

59 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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    Pooled it
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  6. Trial
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Maria Guzman-CastilloDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.
Sara Ahmadi-AbhariDepartment Epidemiology and Public Health, University College London, London, UK.
Piotr BandoszDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.
Simon CapewellDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.
Andrew SteptoeDepartment Epidemiology and Public Health, University College London, London, UK.
Archana Singh-ManouxDepartment Epidemiology and Public Health, University College London, London, UK.
Mika KivimakiDepartment Epidemiology and Public Health, University College London, London, UK.
Martin J ShipleyDepartment Epidemiology and Public Health, University College London, London, UK.
Eric J BrunnerDepartment Epidemiology and Public Health, University College London, London, UK.
Martin O'FlahertyDepartment of Public Health and Policy, University of Liverpool, Liverpool, UK.

Funding

Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
British Heart Foundation PG/11/63/29011British Heart Foundation RG/13/2/30098British Heart Foundation RG/16/11/32334Medical Research Council G0900847Medical Research Council MR/K013351/1NIA NIH HHS R01 AG017644
6 · The paper itself

Abstract

backgroundReliable estimation of future trends in life expectancy and the burden of disability is crucial for ageing societies. Previous forecasts have not considered the potential impact of trends in disease incidence. The present prediction model combines population trends in cardiovascular disease, dementia, disability, and mortality to forecast trends in life expectancy and the burden of disability in England and Wales up to 2025.

methodsWe developed and validated the IMPACT-Better Ageing Model-a probabilistic model that tracks the population aged 35-100 years through ten health states characterised by the presence or absence of cardiovascular disease, dementia, disability (difficulty with one or more activities of daily living) or death up to 2025, by use of evidence-based age-specific, sex-specific, and year-specific transition probabilities. As shown in the English Longitudinal Study of Ageing, we projected continuing declines in dementia incidence (2·7% per annum), cardiovascular incidence, and mortality. The model estimates disability prevalence and disabled and disability-free life expectancy by year.

findingsBetween 2015 and 2025, the number of people aged 65 years and older will increase by 19·4% (95% uncertainty interval [UI] 17·7-20·9), from 10·4 million (10·37-10·41 million) to 12·4 million (12·23-12·57 million). The number living with disability will increase by 25·0% (95% UI 21·3-28·2), from 2·25 million (2·24-2·27 million) to 2·81 million (2·72-2·89 million). The age-standardised prevalence of disability among this population will remain constant, at 21·7% (95% UI 21·5-21·8) in 2015 and 21·6% (21·3-21·8) in 2025. Total life expectancy at age 65 years will increase by 1·7 years (95% UI 0·1-3·6), from 20·1 years (19·9-20·3) to 21·8 years (20·2-23·6). Disability-free life expectancy at age 65 years will increase by 1·0 years (95% UI 0·1-1·9), from 15·4 years (15·3-15·5) to 16·4 years (15·5-17·3). However, life expectancy with disability will increase more in relative terms, with an increase of roughly 15% from 2015 (4·7 years, 95% UI 4·6-4·8) to 2025 (5·4 years, 4·7-6·4).

interpretationThe number of older people with care needs will expand by 25% by 2025, mainly reflecting population ageing rather than an increase in prevalence of disability. Lifespans will increase further in the next decade, but a quarter of life expectancy at age 65 years will involve disability.

fundingBritish Heart Foundation.

Identifiers

PMID28736759
PMCPMC5500313

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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.