Evidence map›Paper›PMID 31566685›Full record

ArticleJAMA neurology2020

Trends in Stroke Incidence Rates in Older US Adults: An Update From the Atherosclerosis Risk in Communities (ARIC) Cohort Study.

Silvia Koton, Yingying Sang, Andrea L C Schneider, Wayne D Rosamond, Rebecca F Gottesman, Josef Coresh

Abstract read
In one paragraph

Article in JAMA neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

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

  1. Pooled it
  2. Article
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  7. Olfaction and Coronary Heart Disease.JAMA otolaryngology-- head & neck surgery · 2026
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  8. Review
  9. Article
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  14. Article
  15. Racial and Ethnic Disparities in Stroke Incidence and Outcomes.Current cardiovascular risk reports · 2025
    Article
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  20. Observational
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

6 authors.

Silvia KotonStanley Steyer School of Health Professions, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Yingying SangSchool of Public Health, Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland.
Andrea L C SchneiderSchool of Public Health, Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland.
Wayne D RosamondDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill.
Rebecca F GottesmanSchool of Public Health, Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland.
Josef CoreshSchool of Public Health, Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland.

Funding

The ARIC-PET Amyloid Imaging StudyR01AG040282 · NIA · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF, SPIRA, ADAM PETER · 2011 to 2021
$7.1M
NHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005INIA NIH HHS R01 AG040282
6 · The paper itself

Abstract

Importance: Determining whether the previously reported decreased stroke incidence rates from 1987 to 2011 among US adults 65 years and older in the Atherosclerosis Risk in Communities (ARIC) study continued to decrease subsequently can help guide policy and planning efforts. Objective: To evaluate whether stroke incidence declines among older adults in the ARIC study continued after 2011. Design, Setting, and Participants: ARIC is a community-based prospective cohort study including 15 792 individuals aged 45 to 64 years at baseline (1987-1989), selected by probability sampling from residents of Forsyth County, North Carolina; Jackson, Mississippi (black individuals only); the northwestern suburbs of Minneapolis, Minneapolis; and Washington County, Maryland (ie, center). The present study included ARIC participants free of stroke at baseline, followed up through December 31, 2017. Data were collected through personal interviews and physical examinations during study visits, annual/semiannual telephone interviews, and active surveillance of discharges from local hospitals. Stroke events were adjudicated by study-physicians reviewers. Analysis began September 2018. Main Outcomes and Measures: The main outcome was stroke incidence rates, which were computed with 95% CIs stratifying the analysis by age and calendar time. Trends in adjusted incidence rates were assessed using Poisson regression incidence rate ratios. Models included calendar time, age, sex, race/center, and time-varying risk factors (hypertension, diabetes, coronary heart disease, cholesterol-lowering medication use, and smoking). Results: Of 14 357 ARIC participants with 326 654 person-years of follow-up, the mean (SD) age at baseline was 54.1 (5.8) years and 7955 (55.4%) were women. From 1987 to 2017, a total of 1340 incident strokes occurred among ARIC participants, and among them, 1028 (76.7%) occurred in participants 65 years and older. Crude incidence rates of stroke for participants 65 years and older decreased progressively from 1987 to 2017. Incidence rates, adjusted for age, sex, race/center, and time-varying risk factors, decreased by 32% (95% CI, 23%-40%) per 10 years in participants 65 years and older. Findings were consistent across decades, sex, and race. Conclusions and Relevance: Validated total stroke incidence rates in adults 65 years and older decreased over the last 30 years in the ARIC cohort. The decrease in rates previously reported for 1987 to 2011 extends for the subsequent 6 years in men and women as well as in white and black individuals.

Indexed as

AgedCohort StudiesFemaleHumansIncidenceMaleNeurologyStrokeUnited States

Identifiers

PMID31566685
PMCPMC6777233

What OpenQuestion holds

Textmetadata
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.