Evidence map›Paper›PMID 35722134›Full record

ArticleFrontiers in cardiovascular medicine2022

Pre-infarction Angina: Time Interval to Onset of Myocardial Infarction and Comorbidity Predictors.

Yohei Sotomi, Yasunori Ueda, Shungo Hikoso, Katsuki Okada, Tomoharu Dohi, Hirota Kida, Bolrathanak Oeun, Akihiro Sunaga, Taiki Sato, Tetsuhisa Kitamura and 7 more

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

17 authors.

Yohei SotomiDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Yasunori UedaCardiovascular Division, National Hospital Organization Osaka National Hospital, Osaka, Japan.
Shungo HikosoDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Katsuki OkadaDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Tomoharu DohiDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Hirota KidaDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Bolrathanak OeunDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Akihiro SunagaDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Taiki SatoDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Tetsuhisa KitamuraDivision of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan.
Hiroya MizunoDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Daisaku NakataniDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Yasuhiko SakataDepartment of Clinical Medicine and Development and Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan.
Hiroshi SatoSchool of Human Welfare Studies Health Care Center and Clinic, Kwansei Gakuin University, Hyogo, Japan.
Masatsugu HoriOsaka International Cancer Institute, Osaka, Japan.
Issei KomuroDepartment of Cardiovascular Medicine, University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Yasushi SakataDepartment of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: As part of efforts to identify candidates for patient education aimed at decreasing mortality from acute myocardial infarction, we investigated the prevalence of pre-infarction angina and its predictors among comorbidities in patients who were hospitalized with acute myocardial infarction (MI). Methods: We conducted a prospective multicenter observational registry of MI patients from 1998 to 2014 ( Results: After excluding 976 (8.1%) patients with missing data on pre-infarction angina, 11,117 patients [66.4 ± 12.0 years, 9,096 (75.2%) male] were analyzed. Of these, 5,428 patients (48.8%) experienced pre-infarction angina before the onset of MI, while 5,689 (51.2%) experienced sudden onset of acute MI. Most patients experienced the first episode of angina >6 h before the onset of MI, while 15% did so ≤6 h before. Patients with hypertension, diabetes, dyslipidemia, or a family history of MI had a higher probability of pre-infarction angina than those without. Elderly patients and those with a history of cerebrovascular disease were less likely to experience pre-infarction angina. Conclusions: Almost half of MI patients in our registry experienced pre-infarction angina before MI onset. Patients with hypertension, diabetes, dyslipidemia, or a family history of MI had a higher probability of experiencing pre-infarction angina than those without.

Indexed as

acute myocardial infarctionpre-infarction anginapreventionpublic educationreal-world

Identifiers

PMID35722134
PMCPMC9204312

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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.