Evidence map›Paper›PMID 41145612›Full record

ArticleScientific reports2025

Analysis of risk factors for Takotsubo cardiomyopathy in older patients using large-scale medical reimbursement data.

Toru Mizuuchi, Shuko Nojiri, Wataru Urasaki, Takuya Uematsu, Yuji Nishizaki, Masashi Nagao, Muneaki Ishijima, Shigeki Aoki

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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

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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

8 authors.

Toru MizuuchiData Science, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Shuko NojiriMedical Technology Innovation Center, Juntendo University, Tokyo, Japan.
Wataru UrasakiDepartment of Information Science, Tokyo University of Science, Chiba, Japan.
Takuya UematsuGCP Center, Juntendo University Shizuoka Hospital, Shizuoka, Japan.
Yuji NishizakiData Science, Juntendo University Graduate School of Medicine, Tokyo, Japan. ynishiza@juntendo.ac.jp.
Masashi NagaoMedical Technology Innovation Center, Juntendo University, Tokyo, Japan.
Muneaki IshijimaDepartment of Medicine for Orthopedics and Motor Organ, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Shigeki AokiData Science, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Takotsubo cardiomyopathy (TTS) is triggered by mental or physical stress and accompanied by symptoms such as acute myocardial infarction. In previous studies, although several cardiovascular risk factors have been reported, specific risk factors other than these remain unclear, particularly in older populations. In this study, we investigated associations between TTS and other diseases in Japanese high-risk older people. In this matched case-control study, age and sex were used as matching factors from the health insurance database registered with DeSC Healthcare Inc. from April 2014 to October 2022; a designed conditional Lasso regression analysis was used as a variable selection method. The data were categorized into two groups: aged ≥ 70 years and aged 60 to 70 years. A total of 6,512 patients were evaluated. The conditional Lasso regression analysis revealed that among individuals aged ≥ 70 years, the respiratory category had the highest proportion among the 39 disease categories with odds ratios of 1.1 or higher (nine categories [23.1%]). Among individuals aged 60 to 70 years, no specific disease category accounted for a large proportion. Respiratory disease was the main risk factor for TTS among patients aged ≥ 70 years; however, it could not be identified among patients aged 60 to 70 years.

Indexed as

Takotsubo CardiomyopathyAgedAged, 80 and overAge FactorsCase-Control StudiesDatabases, FactualFemaleHumansJapanMaleMiddle AgedRisk FactorsAgedConditional lasso regression analysisMyocardial infarctionRespiration disordersTakotsubo cardiomyopathy

Identifiers

PMID41145612
PMCPMC12559379

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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.