Evidence map›Paper›PMID 40642226›Full record

ArticleInternational journal of cardiology. Cardiovascular risk and prevention2025

Usefulness of the AHEAD score for prediction of all-cause death in patients with acute and chronic coronary syndromes.

Shunsuke Tamaki, Akinori Higaki, Hiroshi Kawakami, Kazuhisa Nishimura, Katsuji Inoue, Shuntaro Ikeda, Osamu Yamaguchi, Naoyuki Akashi, Tetsuya Matoba, Takahide Kohro and 8 more

Abstract read
In one paragraph

Article in International journal of cardiology. Cardiovascular risk and prevention, 2025. 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
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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

18 authors.

Shunsuke TamakiDepartment of Cardiology, Pulmonology, Hypertension, and Nephrology, Ehime University Graduate School of Medicine, Japan.
Akinori HigakiDepartment of Cardiology, Pulmonology, Hypertension, and Nephrology, Ehime University Graduate School of Medicine, Japan.
Hiroshi KawakamiDepartment of Cardiology, Pulmonology, Hypertension, and Nephrology, Ehime University Graduate School of Medicine, Japan.
Kazuhisa NishimuraDepartment of Cardiology, Pulmonology, Hypertension, and Nephrology, Ehime University Graduate School of Medicine, Japan.
Katsuji InoueDepartment of Cardiology, Pulmonology, Hypertension, and Nephrology, Ehime University Graduate School of Medicine, Japan.
Shuntaro IkedaDepartment of Cardiology, Pulmonology, Hypertension, and Nephrology, Ehime University Graduate School of Medicine, Japan.
Osamu YamaguchiDepartment of Cardiology, Pulmonology, Hypertension, and Nephrology, Ehime University Graduate School of Medicine, Japan.
Naoyuki AkashiDivision of Cardiovascular Medicine, Jichi Medical University Saitama Medical Center, Japan.
Tetsuya MatobaDepartment of Cardiovascular Medicine, Kyushu University Graduate School of Medical Sciences, Japan.
Takahide KohroDepartment of Clinical Informatics, Jichi Medical University School of Medicine, Japan.
Tomoyuki KabutoyaDivision of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Japan.
Kazuomi KarioDivision of Cardiovascular Medicine, Department of Medicine, Jichi Medical University School of Medicine, Japan.
Arihiro KiyosueDepartment of Cardiovascular Medicine, University of Tokyo Hospital, Japan.
Masaharu NakayamaDepartment of Medical Informatics, Tohoku University Graduate School of Medicine, Japan.
Yoshihiro MiyamotoOpen Innovation Center, National Cerebral and Cardiovascular Center, Japan.
Kenichi TsujitaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Japan.
Hideo FujitaDivision of Cardiovascular Medicine, Jichi Medical University Saitama Medical Center, Japan.
Ryozo NagaiJichi Medical University School of Medicine, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The AHEAD (A: atrial fibrillation; H: hemoglobin; E: elderly; A: abnormal renal parameters; D: diabetes mellitus) score was developed to predict all-cause death (ACD) in patients with heart failure. However, its predictive value for ACD compared to the CHADS Methods: This retrospective multicenter cohort study analyzed data of the patients who underwent percutaneous coronary intervention for acute (ACS) or chronic coronary syndromes (CCS) using the Clinical Deep Data Accumulation System (CLIDAS) database. The AHEAD score was calculated by assigning 1 point each for atrial fibrillation, anemia, age >70 years, elevated creatinine levels (>130 μmol/L), and diabetes mellitus. Results: In total, 9033 patients were enrolled between April 2013 and March 2019. Cox multivariate analysis revealed that both the AHEAD and CHADS Conclusions: The AHEAD score demonstrated superior predictive value for ACD compared to the CHADS

Indexed as

All-cause deathCoronary artery diseasePrognosisRisk score

Identifiers

PMID40642226
PMCPMC12242462

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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.