Evidence map›Paper›PMID 42215699›Full record

ArticleInternational journal of legal medicine2026

Innovative teaching in legal medicine through forensic simulation: a case-based educational project.

Francesco De Micco, Gianmarco Di Palma, Claudio Pensieri, Flavia Giacomobono, Rossana Alloni

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Article in International journal of legal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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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

5 authors.

Francesco De MiccoResearch Unit of Bioethics and Humanities, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, 00128, Italy.ORCID http://orcid.org/0000-0001-8483-3787
Gianmarco Di PalmaResearch Unit of Bioethics and Humanities, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, 00128, Italy. g.dipalma@policlinicocampus.it.ORCID http://orcid.org/0009-0009-6638-4151
Claudio PensieriHuman Science Department, Libera Università Maria S.S. Assunta, Rome, 00193, Italy.ORCID http://orcid.org/0000-0001-8502-2345
Flavia GiacomobonoDepartment of Clinical Affairs, Fondazione Policlinico Universitario Campus Bio-Medico, Rome, 00128, Italy.
Rossana AlloniResearch Unit of Bioethics and Humanities, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, 00128, Italy.ORCID http://orcid.org/0000-0001-8877-2141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Italy, forensic medicine education is traditionally theory-based, which limits students' access to practical experiences due to confidentiality constraints and the complexity of real cases. This paper describes a forensic simulation conducted at the Clinical Simulation Center of the Campus Bio-Medico University of Rome, designed to offer students a structured opportunity to apply their theoretical knowledge through a staged homicide disguised as a suicide. The activity included a preliminary briefing, an interactive simulation involving actors from the university theater laboratory and sixth-year medical students in specific roles, and a structured debriefing for critical analysis of the investigative process. The simulation allowed students to develop and refine their skills in crime scene investigation, forensic evidence collection, and testimony analysis. Students' feedback suggest that simulation-based learning can support the development of critical thinking, decision-making, and teamwork, representing a useful complement to traditional forensic medicine education. Future developments could include the integration of virtual reality and artificial intelligence to further enhance the realism and accessibility of these learning experiences.

Indexed as

Education, Medical, UndergraduateForensic MedicineSimulation TrainingHomicideHumansStudents, MedicalCrime scene investigationForensic medicineForensic pathologyInjury analysisLegal medicineMedical trainingSimulation

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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.