Evidence map›Paper›PMID 42032158›Full record

ArticleScientific reports2026

Machine learning-based mortality prediction for pediatric fulminant myocarditis using cytokine profiles.

Sihuan Jing, Takanori Suzuki, Kenta T Suzuki, Yoji Nomura, Katsuyuki Kunida, Yuichi Sakumura, Hidetoshi Uchida, Kazuyoshi Saito, Ryoichi Ito, Machiko Kito and 6 more

Abstract read
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In one paragraph

Article in Scientific reports, 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

16 authors.

Sihuan JingGraduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan.
Takanori SuzukiDepartment of Pediatrics, Fujita Health University, Aichi, Japan.
Kenta T SuzukiGraduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan.
Yoji NomuraDepartment of Pediatric Cardiology, Aichi Children's Health and Medical Center, Aichi, Japan. yohji_n@hotmail.co.jp.
Katsuyuki KunidaGraduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan. katsuyuki.kunida@fujita-hu.ac.jp.
Yuichi SakumuraGraduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan. saku@bs.naist.jp.
Hidetoshi UchidaDepartment of Pediatrics, Fujita Health University, Aichi, Japan.
Kazuyoshi SaitoDepartment of Pediatrics, Fujita Health University, Aichi, Japan.
Ryoichi ItoDepartment of Pediatric Cardiology, Aichi Children's Health and Medical Center, Aichi, Japan.
Machiko KitoDepartment of Pediatric Cardiology, Aichi Children's Health and Medical Center, Aichi, Japan.
Satoru KawaiDepartment of Pediatric Cardiology, Aichi Children's Health and Medical Center, Aichi, Japan.
Alejandro A FlohCardiac Critical Care, Department of Critical Care Medicine, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.
Aamir JeewaDepartment of Pediatrics, Fujita Health University, Aichi, Japan.
Junichiro YoshimotoGraduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan.
Tetsushi YoshikawaDepartment of Pediatrics, Fujita Health University, Aichi, Japan.
Kazushi YasudaDepartment of Pediatric Cardiology, Aichi Children's Health and Medical Center, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

CytokineFeature importance analysisFulminant myocarditisMachine learning analysisMortality prediction

Identifiers

PMID42032158
PMCPMC13376642

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.