Evidence map›Paper›PMID 42358807›Full record

ArticleEuropean heart journal open2026

Risk prediction of death and heart transplantation in adult patients with myocarditis.

Anna Baritussio, Andrea Silvio Giordani, Chiara Merola, Giulia Lorenzoni, Cristina Vicenzetto, Federico Scognamiglio, Cristina Basso, Stefania Rizzo, Monica De Gaspari, Elisa Carturan and 5 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

15 authors.

Anna BaritussioCardiology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital and University of Padua, Via Giustiniani 2, Padua 35128, Italy.ORCID https://orcid.org/0000-0002-6900-6705
Andrea Silvio GiordaniCardiology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital and University of Padua, Via Giustiniani 2, Padua 35128, Italy.
Chiara MerolaCardiology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital and University of Padua, Via Giustiniani 2, Padua 35128, Italy.
Giulia LorenzoniUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital and University of Padua, Via Giustiniani 2, Padua 35128, Italy.
Cristina VicenzettoCardiology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital and University of Padua, Via Giustiniani 2, Padua 35128, Italy.
Federico ScognamiglioCardiology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital and University of Padua, Via Giustiniani 2, Padua 35128, Italy.
Cristina BassoCardiovascular Pathology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital and University of Padua, Via Giustiniani 2, Padua 35128, Italy.ORCID https://orcid.org/0000-0002-0195-9753
Stefania RizzoCardiovascular Pathology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital and University of Padua, Via Giustiniani 2, Padua 35128, Italy.
Monica De GaspariCardiovascular Pathology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital and University of Padua, Via Giustiniani 2, Padua 35128, Italy.
Elisa CarturanCardiovascular Pathology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital and University of Padua, Via Giustiniani 2, Padua 35128, Italy.
Giuseppe TarantiniCardiology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital and University of Padua, Via Giustiniani 2, Padua 35128, Italy.ORCID https://orcid.org/0000-0002-5055-2917
Sabino IlicetoCardiology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital and University of Padua, Via Giustiniani 2, Padua 35128, Italy.
Renzo MarcolongoCardiology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital and University of Padua, Via Giustiniani 2, Padua 35128, Italy.
Dario GregoriUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital and University of Padua, Via Giustiniani 2, Padua 35128, Italy.
Alida Linda Patrizia CaforioCardiology, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua University Hospital and University of Padua, Via Giustiniani 2, Padua 35128, Italy.ORCID https://orcid.org/0000-0002-4901-5655

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Identifying early risk predictors in myocarditis is clinically relevant, as patients' outcomes may be very diverse. We aimed to explore predictors of death and heart transplant (HTx) in a large single-centre cohort of adult patients with myocarditis using a machine learning (ML) technique. Methods and results: We retrospectively enrolled consecutive adult patients with biopsy-proven or clinically suspected myocarditis, collecting clinical, laboratory, and imaging data, both at diagnosis and during follow-up. A predictive model of death/HTx was developed using random forest (RF), ranking covariates according to their predictive accuracy. We included 938 patients (median age 36 years, 69% male) with clinically suspected ( Conclusion: Based on a ML approach, we found, with good predictive accuracy, that advanced NYHA class, reduced LVEF and heart failure at diagnosis, and giant cell myocarditis on EMB are predictors of worse prognosis in adult patients with myocarditis.

Indexed as

DeathHeart transplantMachine learningMyocarditisPrognosisRandom forest

Identifiers

PMID42358807
PMCPMC13293086

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.