Evidence map›Paper›PMID 33041313›Full record

ArticleJournal of atherosclerosis and thrombosis2021

Estimation of 10-Year Risk of Death from Coronary Heart Disease, Stroke, and Cardiovascular Disease in a Pooled Analysis of Japanese Cohorts: EPOCH-JAPAN.

Yuanying Li, Hiroshi Yatsuya, Sachiko Tanaka, Hiroyasu Iso, Akira Okayama, Ichiro Tsuji, Kiyomi Sakata, Yoshihiro Miyamoto, Hirotsugu Ueshima, Katsuyuki Miura and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

17 citing papers in PubMed, 21 citations in OpenAlex.

  1. The PREVENT Risk Equations and Cardiovascular Prevention in East Asia.Journal of atherosclerosis and thrombosis · 2026
    Review
  2. Article
  3. Cardiovascular Risk Prediction in Older Adults.Current atherosclerosis reports · 2025
    Review
  4. Article
  5. Long-term risk of cardiovascular mortality according to age group and blood pressure categories of the latest guideline.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
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  16. Article
  17. Cardiac Risk in Prediction Models.Journal of atherosclerosis and thrombosis · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 9 institutions in 2 countries.

Yuanying LiDepartment of Public Health, Fujita Health University School of Medicine.
Hiroshi YatsuyaDepartment of Public Health, Fujita Health University School of Medicine.
Sachiko TanakaDepartment of Medical Statistics, Shiga University of Medical Science.
Hiroyasu IsoPublic Health, Department of Social Medicine, Osaka University Graduate School of Medicine.
Akira OkayamaResearch Institute for Lifestyle-Related Disease Prevention.
Ichiro TsujiDivision of Epidemiology, Department of Health Informatics & Public Health, Tohoku University School of Public Health, Graduate School of Medicine.
Kiyomi SakataDepartment of Hygiene and Preventive Medicine, School of Medicine, Iwate Medical University.
Yoshihiro MiyamotoDepartment of Preventive Cardiology, National Cerebral and Cardiovascular Center.
Hirotsugu UeshimaDepartment of Public Health, Shiga University of Medical Science.
Katsuyuki MiuraDepartment of Public Health, Shiga University of Medical Science.
Yoshitaka MurakamiDepartment of Medical Statistics, Toho University School of Medicine.
Tomonori OkamuraDepartment of Preventive Medicine and Public Health, Keio University School of Medicine.
Shiga University of Medical Science · JPFujita Health University · JPIwate Medical University · JPKeio University · JPNagoya University · JPNational Cerebral and Cardiovascular Center · JPOsaka University · JPTohoku University · JPToho University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsWe aimed to develop and validate risk prediction models to estimate the absolute 10-year risk of death from coronary heart disease (CHD), stroke, and cardiovascular disease (CVD).

methodsWe evaluated a total of 44,869 individuals aged 40-79 years from eight Japanese prospective cohorts to derive coefficients of risk equations using cohort-stratified Cox proportional hazard regression models. Discrimination (C-index) of the equation was examined in each cohort and summarised using random-effect meta-analyses. Calibration of the equation was assessed using Hosmer-Lemeshow chi-squared statistic.

resultsWithin a median follow-up of 12.7 years, we observed 765 deaths due to CVD (276 CHDs and 489 strokes). After backward selection, age, sex, current smoking, systolic blood pressure (SBP), proteinuria, prevalent diabetes mellitus, the ratio of total cholesterol to high-density lipoprotein cholesterol (TC/HDLC), interaction terms of age by SBP, and age by current smoking were retained as predictors for CHD. Sex was excluded in the stroke equation. We did not consider TC/HDLC as a risk factor for the stroke and CVD equations. The pooled C-indices for CHD, stroke, and CVD were 0.83, 0.80, and 0.81, respectively, and the corresponding p-values of the Hosmer-Lemeshow tests were 0.18, 0.003, and 0.25, respectively.

conclusionsRisk equations in the present study can adequately estimate the absolute 10-year risk of death from CHD, stroke, and CVD. Future work will evaluate the system as an education and risk communication tool for primary prevention of CHD and stroke.

Indexed as

AdultAgedAged, 80 and overCardiovascular DiseasesCoronary DiseaseFemaleFollow-Up StudiesHumansJapanMaleMiddle AgedPrognosisProspective StudiesRisk AssessmentRisk FactorsStrokeCardiovascular diseaseCoronary heart diseaseMortalityPrediction modelStroke

Identifiers

PMID33041313
PMCPMC8326173
OpenAlexW3091913804

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.