Evidence map›Paper›PMID 40310307›Full record

ArticleClinics and practice2025

Predictors of Acute Myocardial Infarction: A Machine Learning Analysis After a 7-Year Follow-Up.

Marco Casciaro, Pierpaolo Di Micco, Alessandro Tonacci, Marco Vatrano, Vincenzo Russo, Carmine Siniscalchi, Sebastiano Gangemi, Egidio Imbalzano

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinics and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Marco CasciaroAllergy and Clinical Immunology Unit, Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.ORCID 0000-0002-5436-1501
Pierpaolo Di MiccoUOC Medicina Interna, AFO Medica, P.O. Santa Maria delle Grazie, ASL Napoli 2 Nord, 80076 Pozzuoli, Italy.ORCID 0000-0002-8484-4598
Alessandro TonacciInstitute of Clinical Physiology, National Research Council of Italy (IFC-CNR), Via G. Moruzzi 1, 56124 Pisa, Italy.ORCID 0000-0001-8335-5541
Marco VatranoCardiology Unit, "Pugliese-Ciaccio" Hospital, 88100 Catanzaro, Italy.ORCID 0000-0003-1469-1714
Vincenzo RussoCardiology Unit, Department of Translational Medical Sciences, University of Campania "Luigi Vanvitelli"-Monaldi Hospital, Piazzale Ettore Ruggeri, 80131 Naples, Italy.ORCID 0000-0002-9227-0360
Carmine SiniscalchiDepartment of Continuity of Care and Multicomplexity, Azienda Ospedaliero-Universitaria di Parma, 43126 Parma, Italy.ORCID 0000-0002-0613-1074
Sebastiano GangemiAllergy and Clinical Immunology Unit, Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.
Egidio ImbalzanoDepartment of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.ORCID 0000-0003-2656-5467

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligenceheartmachine learningmyocardial infarctionpredictors

Identifiers

PMID40310307
PMCPMC12025629

What Socratic 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 Socratic graph.