Evidence map›Paper›PMID 41970495›Full record

ArticleCirculation reports2026

Association Between Symptom Characteristics, Knowledge Sources, and Patient Interpretation of Acute Coronary Syndrome: Insights From the Japanese Circulation Society Chest Pain Registry.

Masato Uchida, Satoshi Yoshimura, Kanna Arimoto, Hirotoshi Nishikita, Yohei Fushimura, Hirokazu Yokoi, Takuya Taniguchi, Chika Nishiyama, Yasunori Ueda, Taku Iwami and 1 more

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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

11 authors.

Masato UchidaDepartment of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University Kyoto Japan.
Satoshi YoshimuraDepartment of Preventive Services, Graduate School of Medicine, Kyoto University Kyoto Japan.
Kanna ArimotoDepartment of Emergency Medicine, Rakuwakai Otowa Hospital Kyoto Japan.
Hirotoshi NishikitaDepartment of Emergency Medicine, Rakuwakai Otowa Hospital Kyoto Japan.
Yohei FushimuraDepartment of Cardiology, Rakuwakai Otowa Hospital Kyoto Japan.
Hirokazu YokoiDepartment of Cardiology, Rakuwakai Otowa Hospital Kyoto Japan.
Takuya TaniguchiDepartment of Cardiovascular Medicine, Otsu City Hospital Shiga Japan.
Chika NishiyamaDepartment of Critical Care Nursing, Graduate School of Human Health Sciences, Kyoto University Kyoto Japan.
Yasunori UedaCardiovascular Division, NHO Osaka National Hospital Osaka Japan.
Taku IwamiDepartment of Preventive Services, Graduate School of Medicine, Kyoto University Kyoto Japan.
Education and Implementation for Cardiac Emergency Committee of the Japanese Circulation Society

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The associations between symptom characteristics and patients' interpretations and sources of knowledge about acute coronary syndrome (ACS) remains unclear. Methods and Results: We enrolled 81 patients with ACS. Patients who misinterpreted their symptoms more frequently reported atypical features such as tenderness (13.3% vs 0%; P=0.028) and syncope (11.8% vs 0%; P=0.011). Common knowledge sources among patients who correctly interpreted their symptoms included television, healthcare professionals, and the internet without social media. Conclusions: Patients experiencing atypical symptoms often misinterpret them. Most knowledge sources for those who interpreted correctly were traditional.

Indexed as

Acute coronary syndromeEmergency medical servicesPatient delayPre-ACS symptomsSymptom interpretation

Identifiers

PMID41970495
PMCPMC13065442

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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.