Evidence map›Paper›PMID 42846138›Full record

ArticleEuropean heart journal open2026

Phenotypic clustering of atrial fibrillation patients using latent class analysis and its potential utility for ablation strategy: insights from the DIRECT-Extend and EARNEST-PVI studies.

Shun Sasaki, Yuki Matsuoka, Akihiro Sunaga, Daisuke Sakamoto, Hideaki Hasegawa, Tomoharu Dohi, Hirota Kida, Tetsuhisa Kitamura, Katsuki Okada, Daisaku Nakatani and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European heart journal open, 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.

Shun SasakiDepartment of Cardiovascular Medicine, The University of Osaka Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.ORCID https://orcid.org/0000-0002-9561-0201
Yuki MatsuokaDepartment of Cardiovascular Medicine, The University of Osaka Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.
Akihiro SunagaDepartment of Cardiovascular Medicine, The University of Osaka Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.ORCID https://orcid.org/0000-0003-2590-6696
Daisuke SakamotoDepartment of Cardiovascular Medicine, The University of Osaka Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.ORCID https://orcid.org/0009-0009-7272-5266
Hideaki HasegawaDepartment of Cardiovascular Medicine, The University of Osaka Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.ORCID https://orcid.org/0009-0005-7233-4514
Tomoharu DohiDepartment of Cardiovascular Medicine, The University of Osaka Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.ORCID https://orcid.org/0000-0003-1652-6421
Hirota KidaDepartment of Cardiovascular Medicine, The University of Osaka Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.
Tetsuhisa KitamuraDepartment of Social and Environmental Medicine, The University of Osaka Graduate School of Medicine, Suita, Osaka 565-0871, Japan.ORCID https://orcid.org/0000-0003-0107-0580
Katsuki OkadaDepartment of Cardiovascular Medicine, The University of Osaka Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.
Daisaku NakataniDepartment of Cardiovascular Medicine, The University of Osaka Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.ORCID https://orcid.org/0000-0002-1534-2033
Hidetaka KiokaDepartment of Cardiovascular Medicine, The University of Osaka Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.ORCID https://orcid.org/0000-0002-5534-9272
Nobuaki TanakaCardiovascular Center, Sakurabashi Watanabe Advanced Healthcare Hospital, 4-3-51 Nakanoshima, Kita-ku, Osaka 530-0005, Japan.ORCID https://orcid.org/0000-0002-8324-1728
Masaharu MasudaCardiovascular Center, Kansai Rosai Hospital, 3-1-69 Inabaso, Amagasaki, Hyogo 660-8511, Japan.ORCID https://orcid.org/0000-0002-5566-466X
Tetsuya WatanabeDepartment of Cardiovascular Medicine, Yao Municipal Hospital, 1-3-1 Ryugecho, Yao, Osaka 581-0069, Japan.
Yasuo OkumuraDivision of Cardiology, Department of Medicine, Nihon University School of Medicine, 30-1 Oyaguchi Kami-cho, Itabashi-ku, Tokyo 173-8610, Japan.ORCID https://orcid.org/0000-0002-2960-4241
Yoshiharu HiguchiCardiovascular Division, Osaka Keisatsu Hospital, 2-6-40 Karasugatsuji, Tennoji-ku, Osaka 543-0042, Japan.ORCID https://orcid.org/0000-0002-1665-3407
Koichi InoueDepartment of Cardiovascular Medicine, National Hospital Organization Osaka National Hospital, 2-1-14 Hoenzaka, Chuo-ku, Osaka 540-0006, Japan.ORCID https://orcid.org/0000-0002-8389-549X
Shungo HikosoDepartment of Cardiovascular Medicine, The University of Osaka Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.ORCID https://orcid.org/0000-0003-2284-1970
Yohei SotomiDepartment of Cardiovascular Medicine, The University of Osaka Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.ORCID https://orcid.org/0000-0002-7564-2978
Yasushi SakataDepartment of Cardiovascular Medicine, The University of Osaka Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.ORCID https://orcid.org/0000-0002-5618-4721

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: AF is a heterogeneous syndrome. We aimed to assess whether latent class analysis (LCA) can identify phenotypes that stratify prognosis and predict differential responses to catheter ablation strategies. Methods and results: We first developed an LCA-based phenotyping model using the DIRECT-Extend registry ( Conclusion: LCA identified distinct AF phenotypes associated with prognoses. These phenotypes may also provide insights into heterogeneity in response to ablation strategies. This phenotyping approach may support risk stratification and individualized AF management.

Indexed as

AFCatheter ablationLatent class analysisOral anticoagulation

Identifiers

PMID42846138
PMCPMC13643170

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.