Evidence map›Paper›PMID 40363975›Full record

ArticleJournal of clinical medicine2025

Chronic Ulcers Healing Prediction through Machine Learning Approaches: Preliminary Results on Diabetic Foot Ulcers Case Study.

Elisabetta Spinazzola, Guillaume Picaud, Sara Becchi, Monica Pittarello, Elia Ricci, Marc Chaumont, Gérard Subsol, Fabio Pareschi, Luc Teot, Jacopo Secco

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

10 authors.

Elisabetta SpinazzolaDepartment of Electronics and Telecommunications, Politecnico di Torino, 10123 Turin, Italy.ORCID 0009-0007-5966-7976
Guillaume PicaudLIRMM, ICAR Team, University Montpellier, CNRS, 34000 Montpellier, France.
Sara BecchiDepartment of Electronics and Telecommunications, Politecnico di Torino, 10123 Turin, Italy.ORCID 0009-0004-0761-4993
Monica PittarelloAssociazione Italiana Ulcere Cutanee (A.I.U.C.), 10123 Torino, Italy.ORCID 0000-0002-4561-4159
Elia RicciAssociazione Italiana Ulcere Cutanee (A.I.U.C.), 10123 Torino, Italy.ORCID 0000-0002-0722-693X
Marc ChaumontLIRMM, ICAR Team, University Montpellier, CNRS, 34000 Montpellier, France.ORCID 0000-0002-4095-4410
Gérard SubsolLIRMM, ICAR Team, University Montpellier, CNRS, 34000 Montpellier, France.ORCID 0000-0002-7461-4932
Fabio PareschiDepartment of Electronics and Telecommunications, Politecnico di Torino, 10123 Turin, Italy.ORCID 0000-0001-8777-7135
Luc TeotSociété Française et Francophone des Plaies et Cicatrisations, 91370 Verrieres Le Buisson, France.
Jacopo SeccoDepartment of Electronics and Telecommunications, Politecnico di Torino, 10123 Turin, Italy.ORCID 0000-0001-7832-2315

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

chronic woundsdeep neural networksdiabetic foot ulcershealingmachine learningmulticlass segmentationpredictive medicine

Identifiers

PMID40363975
PMCPMC12072452

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.