Evidence map›Paper›PMID 41808937›Full record

ArticleCirculation reports2026

Establishment of Ascertainment Methods for Cardiovascular Disease Onset in the Tohoku Medical Megabank Organization.

Rieko Hatanaka, Naoki Nakaya, Sayuri Tokioka, Ippei Chiba, Taku Obara, Hirohito Metoki, Masahiro Kikuya, Kotaro Nochioka, Masatsugu Orui, Kai Susukita and 12 more

Abstract read
In one paragraph

Article in Circulation reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

22 authors.

Rieko HatanakaTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Naoki NakayaTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Sayuri TokiokaTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Ippei ChibaTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Taku ObaraTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Hirohito MetokiTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Masahiro KikuyaTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Kotaro NochiokaTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Masatsugu OruiTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Kai SusukitaGraduate School of Medicine, Tohoku University Sendai Japan.
Masato TakaseTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Ikumi KannoGraduate School of Medicine, Tohoku University Sendai Japan.
Mana KogureTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Kumi NakayaTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Mami IshikuroTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Satoshi NagaieTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Soichi OgishimaTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Yohei HamanakaTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Eiichi N KodamaTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Nobuo FuseTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Shinichi KuriyamaTohoku Medical Megabank Organization, Tohoku University Sendai Japan.
Atsuhi HozawaTohoku Medical Megabank Organization, Tohoku University Sendai Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In order to collect information on the onset of cardiovascular disease (CVD) events for participants, the Tohoku Medical Megabank Organization (ToMMo) constructed a system to identify CVD events using a self-administered questionnaire regarding CVD onset. The association between traditional cardiovascular risk factors and CVD onset was also examined. Methods and Results: This study included participants from the ToMMo's Community-based Cohort Study and the Birth and Three-Generation Cohort Study. To identify CVD onset, the participants were first asked about stroke, myocardial infarction, and angina pectoris using self-administered questionnaires. Next, for those reporting onset, the ToMMo mailed structured CVD registration forms to their medical institutions. These institutions used medical records to complete and return the forms. CVD onset was then determined at event adjudication meetings involving multiple physicians and epidemiologists, based on the information from these registration forms. A nested case-control study with 602 CVD cases and 1,204 matched controls using data from a Community-based Cohort Study of the ToMMo was conducted. Using conditional logistic regression models, we found significant association between traditional CVD risk factors, such as hypertension and dyslipidemia, and CVD onset. Conclusions: The ToMMo establishes a system for identifying CVD onset in cohort study participants. In the future, combining participants' lifestyles and genomic information with CVD onset may help build evidence for personalized prevention and medicine.

Indexed as

Cardiovascular disease onsetEvent adjudicationFollow-up survey

Identifiers

PMID41808937
PMCPMC12971210

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.