Evidence map›Paper›PMID 41743343›Full record

ArticleGlobal health & medicine2026

Retrospective observational analysis of prasugrel dosage afterpercutaneous coronary intervention using the Clinical Deep DataAccumulation System database.

Yukio Hiroi, Yosuke Shimizu, Yukari Uemura, Iori Kajikawa, Ryohei Matsuo, Masaya Yamamoto, Hisao Hara, Satoshi Kodera, Arihiro Kiyosue, Yoshiko Mizuno and 15 more

Abstract read
In one paragraph

Article in Global health & medicine, 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

25 authors.

Yukio HiroiDepartment of Cardiology, National Center for Global Health and Medicine, Japan Institute for Health Security, Tokyo, Japan.
Yosuke ShimizuDepartment of Data Science, Center for Clinical Sciences, Japan Institute for Health Security, Tokyo, Japan.
Yukari UemuraDepartment of Data Science, Center for Clinical Sciences, Japan Institute for Health Security, Tokyo, Japan.
Iori KajikawaDepartment of Data Science, Center for Clinical Sciences, Japan Institute for Health Security, Tokyo, Japan.
Ryohei MatsuoDepartment of Data Science, Center for Clinical Sciences, Japan Institute for Health Security, Tokyo, Japan.
Masaya YamamotoDepartment of Cardiology, National Center for Global Health and Medicine, Japan Institute for Health Security, Tokyo, Japan.
Hisao HaraDepartment of Cardiology, National Center for Global Health and Medicine, Japan Institute for Health Security, Tokyo, Japan.
Satoshi KoderaDepartment of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan.
Arihiro KiyosueDepartment of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan.
Yoshiko MizunoDepartment of Cardiovascular Medicine, University of Tokyo, Tokyo, Japan.
Yoshihiro MiyamotoOpen Innovation Center, National Cerebral and Cardiovascular Center, Suita, Japan.
Masaharu NakayamaDepartment of Medical Informatics, Tohoku University Graduate School of Medicine, Miyagi, Japan.
Tetsuya MatobaDepartment of Cardiovascular Medicine, Kyushu University Graduate School of Medical Sciences, Fukuoka, Japan.
Masanobu IshiiDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Kenichi TsujitaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Yasushi SakataDepartment of Cardiovascular Medicine, Osaka University, Osaka, Japan.
Tomoyuki KabutoyaDepartment of Cardiovascular Medicine, Osaka University, Osaka, Japan.
Kazuomi KarioDepartment of Cardiovascular Medicine, Osaka University, Osaka, Japan.
Yasushi ImaiDivision of Cardiovascular Medicine, Jichi Medical University, Tochigi, Japan.
Hisaki MakimotoDepartment of Pharmacology, Jichi Medical University, Tochigi, Japan.
Takahide KohroDepartment of Pharmacology, Jichi Medical University, Tochigi, Japan.
Naoyuki AkashiDepartment of Clinical Informatics, Jichi Medical University, Tochigi, Japan.
Hideo FujitaDepartment of Clinical Informatics, Jichi Medical University, Tochigi, Japan.
Ryozo NagaiDepartment of Cardiology, Jichi Medical University Saitama Medical Center, Saitama, Japan.
Clidas Research GroupDepartment of Cardiology, National Center for Global Health and Medicine, Japan Institute for Health Security, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prasugrel reduces the recurrence of atherosclerotic cardiovascular disease and restenosis after percutaneous coronary intervention (PCI). However, its actual dosage in Japan has not been well studied. This study aimed to compare different prasugrel doses after PCI using retrospective data from the Clinical Deep Data Accumulation System (CLIDAS) database. A retrospective observational study was conducted using the CLIDAS-PCI database with a 2-year follow-up after PCI. There were 2,869 and 52 patients in the 3.75- and 2.5 mg groups, respectively. The 2.5 mg group was comprised of significantly more female, older, shorter, and lower-body-weight patients and included more patients with a history of coronary artery bypass grafting, stroke, peripheral arterial disease, or active malignancy than the 3.75 mg group. Concomitant medications included antiplatelets, anticoagulants, and statins. Laboratory data showed substantially lower hemoglobin and platelet counts in the 2.5 mg group. Most patients weighed < 50 kg; however, fewer had an estimated glomerular filtration rate < 30 mL/min/1.73 m². Major adverse cardio- and cerebrovascular events were similar between groups. The 2.5 mg group had more non-fatal strokes and major bleeding associated with antithrombotic therapy. In Japan, prasugrel 2.5 mg should be considered to reduce major bleeding in patients with low body weight, older adults, women, those receiving concomitant antithrombotic therapy, and those with low platelet counts.

Indexed as

Clinical Deep Data Accumulation System (CLIDAS)major adverse cardiovascular and cerebrovascular events (MACCE)percutaneous coronary intervention (PCI)prasugrel

Identifiers

PMID41743343
PMCPMC12932064

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.