Evidence map›Paper›PMID 38464990›Full record

ArticleCirculation reports2024

Lead-Specific Performance for Atrial Fibrillation Detection in Convolutional Neural Network Models Using Sinus Rhythm Electrocardiography.

Shinya Suzuki, Jun Motogi, Takuya Umemoto, Naomi Hirota, Hiroshi Nakai, Wataru Matsuzawa, Tsuneo Takayanagi, Akira Hyodo, Keiichi Satoh, Takuto Arita and 14 more

Abstract read
In one paragraph

Article in Circulation reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Artificial Intelligence-Enhanced Electrocardiography for Predicting Paroxysmal Atrial Fibrillation From Sinus Rhythm: Impact of Data Integration Across Institutions and Devices.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2026
    Article
  3. Article
  4. Article
  5. 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

24 authors.

Shinya SuzukiDepartment of Cardiovascular Medicine, The Cardiovascular Institute Tokyo Japan.
Jun MotogiNihon Kohden Corporation Tokyo Japan.
Takuya UmemotoNihon Kohden Corporation Tokyo Japan.
Naomi HirotaDepartment of Cardiovascular Medicine, The Cardiovascular Institute Tokyo Japan.
Hiroshi NakaiInformation System Division, The Cardiovascular Institute Tokyo Japan.
Wataru MatsuzawaNihon Kohden Corporation Tokyo Japan.
Tsuneo TakayanagiNihon Kohden Corporation Tokyo Japan.
Akira HyodoNihon Kohden Corporation Tokyo Japan.
Keiichi SatohNihon Kohden Corporation Tokyo Japan.
Takuto AritaDepartment of Cardiovascular Medicine, The Cardiovascular Institute Tokyo Japan.
Naoharu YagiDepartment of Cardiovascular Medicine, The Cardiovascular Institute Tokyo Japan.
Mikio KishiDepartment of Cardiovascular Medicine, The Cardiovascular Institute Tokyo Japan.
Hiroaki SembaDepartment of Cardiovascular Medicine, The Cardiovascular Institute Tokyo Japan.
Hiroto KanoDepartment of Cardiovascular Medicine, The Cardiovascular Institute Tokyo Japan.
Shunsuke MatsunoDepartment of Cardiovascular Medicine, The Cardiovascular Institute Tokyo Japan.
Yuko KatoDepartment of Cardiovascular Medicine, The Cardiovascular Institute Tokyo Japan.
Takayuki OtsukaDepartment of Cardiovascular Medicine, The Cardiovascular Institute Tokyo Japan.
Takayuki HoriDepartment of Cardiovascular Surgery, The Cardiovascular Institute Tokyo Japan.
Minoru MatsuhamaDepartment of Cardiovascular Surgery, The Cardiovascular Institute Tokyo Japan.
Mitsuru IidaDepartment of Cardiovascular Surgery, The Cardiovascular Institute Tokyo Japan.
Tokuhisa UejimaDepartment of Cardiovascular Medicine, The Cardiovascular Institute Tokyo Japan.
Yuji OikawaDepartment of Cardiovascular Medicine, The Cardiovascular Institute Tokyo Japan.
Junji YajimaDepartment of Cardiovascular Medicine, The Cardiovascular Institute Tokyo Japan.
Takeshi YamashitaDepartment of Cardiovascular Medicine, The Cardiovascular Institute Tokyo Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial intelligenceAtrial fibrillationElectrocardiography

Identifiers

PMID38464990
PMCPMC10920024

What OpenQuestion holds

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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.