Evidence map›Paper›PMID 42143196›Full record

ArticleCardiovascular intervention and therapeutics2026

Prognostic value of pretest probability of heart failure with preserved ejection fraction in patients with coronary artery disease: an insight from the CLIDAS-PCI database.

Tomoaki Nishikawa, Shunsuke Tamaki, Kazuhisa Nishimura, Yasutaka Ihara, Akinori Higaki, Hiroshi Kawakami, Katsuji Inoue, Shuntaro Ikeda, Osamu Yamaguchi, Naoyuki Akashi and 10 more

Abstract readMulticenter Study
In one paragraph

Article in Cardiovascular intervention and therapeutics, 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

20 authors.

Tomoaki NishikawaDepartment of Cardiology, Pulmonology, Hypertension, and Nephrology, Ehime University Graduate School of Medicine, 454 Shitsukawa, Toon, Ehime, 791-0295, Japan.
Shunsuke TamakiDepartment of Cardiology, Pulmonology, Hypertension, and Nephrology, Ehime University Graduate School of Medicine, 454 Shitsukawa, Toon, Ehime, 791-0295, Japan. tamakishunsuke@gmail.com.ORCID http://orcid.org/0000-0001-5642-3836
Kazuhisa NishimuraDepartment of Cardiology, Pulmonology, Hypertension, and Nephrology, Ehime University Graduate School of Medicine, 454 Shitsukawa, Toon, Ehime, 791-0295, Japan.
Yasutaka IharaClinical Research Promotion Unit, Clinical Therapeutic Trial Center, Ehime University Hospital, Toon, Japan.
Akinori HigakiDepartment of Cardiology, Pulmonology, Hypertension, and Nephrology, Ehime University Graduate School of Medicine, 454 Shitsukawa, Toon, Ehime, 791-0295, Japan.
Hiroshi KawakamiDepartment of Cardiology, Pulmonology, Hypertension, and Nephrology, Ehime University Graduate School of Medicine, 454 Shitsukawa, Toon, Ehime, 791-0295, Japan.
Katsuji InoueDepartment of Cardiology, Pulmonology, Hypertension, and Nephrology, Ehime University Graduate School of Medicine, 454 Shitsukawa, Toon, Ehime, 791-0295, Japan.
Shuntaro IkedaDepartment of Cardiology, Pulmonology, Hypertension, and Nephrology, Ehime University Graduate School of Medicine, 454 Shitsukawa, Toon, Ehime, 791-0295, Japan.
Osamu YamaguchiDepartment of Cardiology, Pulmonology, Hypertension, and Nephrology, Ehime University Graduate School of Medicine, 454 Shitsukawa, Toon, Ehime, 791-0295, Japan.
Naoyuki AkashiDivision of Cardiovascular Medicine, Jichi Medical University Saitama Medical Center, Shimotsuke, Japan.
Takahide KohroDepartment of Clinical Informatics, Jichi Medical University School of Medicine, Shimotsuke, Japan.
Tomoyuki KabutoyaDivision of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan.
Kazuomi KarioDivision of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan.
Arihiro KiyosueDepartment of Cardiovascular Medicine, University of Tokyo Hospital, Bunkyo-ku, Japan.
Masaharu NakayamaDepartment of Medical Informatics, Tohoku University Graduate School of Medicine, Sendai, Japan.
Yoshihiro MiyamotoOpen Innovation Center, National Cerebral and Cardiovascular Center, Suita, Japan.
Kenichi TsujitaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Hideo FujitaDivision of Cardiovascular Medicine, Jichi Medical University Saitama Medical Center, Shimotsuke, Japan.
Tetsuya MatobaDepartment of Cardiovascular Medicine, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan.
Ryozo NagaiJichi Medical University School of Medicine, Shimotsuke, Japan.

Funding

Health Labour Sciences Research Grant 22FA1016Kowa Company Kowa Company
6 · The paper itself

Abstract

Coronary artery disease (CAD) is a major risk factor for the development of heart failure (HF) with preserved ejection fraction (HFpEF) and is associated with increased mortality. However, an optimal strategy to screen for HFpEF among patients with CAD has not yet been established. The HFpEF-ABA score was introduced to estimate the pretest probability of HFpEF and was shown to predict adverse HF events. This retrospective multicenter cohort study included patients registered in the Clinical Deep Data Accumulation System database who underwent percutaneous coronary intervention from April 2013 to March 2019. Patients with a left ventricular (LV) ejection fraction ≥ 50% and no known history of HF were included. Age, body mass index, and a history of atrial fibrillation were used to calculate the HFpEF-ABA score, and patients were dichotomized at a 50% threshold for descriptive risk stratification. The primary endpoint was a composite of all-cause death and unplanned HF hospitalization. Among 3307 patients, those with high HFpEF-ABA scores were more likely to have hypertension, renal dysfunction, anemia, larger left atrial size, higher LV mass index, and elevated brain natriuretic peptide levels, consistent with an HFpEF phenotype. Over a median follow-up of 721 days, 275 patients experienced the primary endpoint. The HFpEF-ABA score was independently associated with the primary endpoint as both a continuous and a categorical variable (hazard ratio: 1.07 [95% confidence interval: 1.00-1.14], P = 0.043, and 1.37 [1.07-1.76], P = 0.015, respectively). The HFpEF-ABA score identifies CAD patients with an HFpEF phenotype and predicts adverse outcomes.

Indexed as

Coronary Artery DiseaseHeart FailurePercutaneous Coronary InterventionStroke VolumeVentricular Function, LeftAgedDatabases, FactualFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk FactorsCoronary artery diseaseHFpEF-ABA scorePrognosis

Identifiers

PMID42143196
PMCPMC13279665

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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.