Evidence map›Paper›PMID 42435310›Full record

ArticleJournal of the American Geriatrics Society2026

Changes in Life Expectancy After Stroke Among Americans Aged 50 and Above by Sex, 1996-2018.

Octavio Bramajo, Moumita Chakraborty, Lynda Lisabeth, Neil Mehta

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Octavio BramajoAntrophometrics and Historical Epidemiology Group, Institute for Evolutionary Medicine, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-4148-6030
Moumita ChakrabortyDepartment of Biostatistics & Data Science, University of Texas Medical Branch, Galveston, Texas, USA.
Lynda LisabethSchool of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Neil MehtaDepartment of Epidemiology and Population Health, University of Texas Medical Branch, Galveston, Texas, USA.

Funding

Identifying the Causes of the Stagnation in National U.S. Cardiovascular Disease MortalityR01AG075208 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI NEIL MEHTA · 2023 to 2026
$1.5M
NIA NIH HHS R01 AG075208NIA NIH HHS R01AG075208
6 · The paper itself

Abstract

backgroundStroke remains a leading cause of mortality and disability in the United States. As the population ages, understanding trends in survival among stroke survivors is critical for healthcare planning and evaluating secondary prevention efforts.

methodsUsing longitudinal data from the nationally representative Health and Retirement Study (1996-2018; 39,084 individuals, 225,316 person-wave observations), in which stroke status is self-reported, we computed life expectancy at Age 50 (LE50) for those with and without a previous stroke history using discrete-time multistate models (a Markov chain approach for panel data). Estimates were stratified by sex and compared across two 10-year periods (1996-2006 vs. 2008-2018), with 95% confidence intervals obtained from 1000 bootstrap iterations. Cox proportional hazards models with progressively expanded covariate sets (sociodemographics, heart disease, BMI, insurance type, race/ethnicity) were fitted as exploratory analyses to assess the robustness of stroke-mortality associations to potential confounding.

resultsLE50 among individuals with a self-reported previous stroke history at baseline increased by 3.1 years (95% CI: 1.7-4.4) between 1996-2006 and 2008-2018 for both sexes combined, with men gaining 3.4 years (2.0-4.8) and women 2.5 years (0.8-4.3). Gains exceeded those in the general population (1.1 years, 0.6-1.6). Point estimates suggested somewhat larger gains among men, though confidence intervals overlapped and a statistically significant sex difference could not be confirmed. For first-time incident strokes during the observation period, post-stroke survival showed no statistically significant change across periods.

conclusionsLong-term consequences of stroke appear to be becoming less lethal, likely reflecting improvements in secondary prevention and post-stroke long-term care. Nonetheless, a gap of approximately 10 years in LE50 between stroke survivors and the general population persisted in 2008-2018. Continued investment in both acute stroke care and long-term secondary prevention remains essential to further close this gap.

Indexed as

Life ExpectancyStrokeAgedAged, 80 and overFemaleHumansLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsSex FactorsUnited Statescardiovascular healthlife expectancymultistate modelsstrokeUnited States

Identifiers

PMID42435310
PMCPMC13589667

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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.