Evidence map›Paper›PMID 40149429›Full record

ArticleGenes2025

A Forensic Approach to Complex Identification Cases: The Collapse of an Italian Cemetery into the Sea.

Camilla Tettamanti, Francesca Frigiolini, Lorenzo Franceschetti, Rosario Barranco, Sara Lo Pinto, Lucia Casarino, Simonetta Verdiani, Mattia Porcu, Cristina Cattaneo, Danilo De Angelis and 3 more

Abstract read
In one paragraph

Article in Genes, 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. Article
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

13 authors.

Camilla TettamantiDepartment of Legal and Forensic Medicine, University of Genova, Via De Toni 12, 16132 Genova, Italy.ORCID 0000-0002-7410-3198
Francesca FrigioliniDepartment of Legal and Forensic Medicine, University of Genova, Via De Toni 12, 16132 Genova, Italy.
Lorenzo FranceschettiLABANOF, Laboratorio di Antropologia e Odontologia Forense, Institute of Legal Medicine, Department of Biomedical Sciences for Health, University of Milan, Via Luigi Mangiagalli 37, 20133 Milano, Italy.ORCID 0000-0003-0887-0708
Rosario BarrancoDepartment of Legal and Forensic Medicine, University of Genova, Via De Toni 12, 16132 Genova, Italy.ORCID 0000-0002-2838-7716
Sara Lo PintoDepartment of Legal and Forensic Medicine, University of Genova, Via De Toni 12, 16132 Genova, Italy.
Lucia CasarinoDepartment of Legal and Forensic Medicine, University of Genova, Via De Toni 12, 16132 Genova, Italy.
Simonetta VerdianiDepartment of Legal and Forensic Medicine, University of Genova, Via De Toni 12, 16132 Genova, Italy.
Mattia PorcuDepartment of Legal and Forensic Medicine, University of Genova, Via De Toni 12, 16132 Genova, Italy.ORCID 0009-0009-1973-2993
Cristina CattaneoLABANOF, Laboratorio di Antropologia e Odontologia Forense, Institute of Legal Medicine, Department of Biomedical Sciences for Health, University of Milan, Via Luigi Mangiagalli 37, 20133 Milano, Italy.
Danilo De AngelisLABANOF, Laboratorio di Antropologia e Odontologia Forense, Institute of Legal Medicine, Department of Biomedical Sciences for Health, University of Milan, Via Luigi Mangiagalli 37, 20133 Milano, Italy.ORCID 0000-0001-6388-9415
Marco CummaudoLABANOF, Laboratorio di Antropologia e Odontologia Forense, Institute of Legal Medicine, Department of Biomedical Sciences for Health, University of Milan, Via Luigi Mangiagalli 37, 20133 Milano, Italy.
Francesco De StefanoDepartment of Legal and Forensic Medicine, University of Genova, Via De Toni 12, 16132 Genova, Italy.
Francesco VenturaDepartment of Legal and Forensic Medicine, University of Genova, Via De Toni 12, 16132 Genova, Italy.ORCID 0000-0001-8870-793X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesOn 22 February 2021, a coastal landslide in Italy caused the collapse of an old cemetery, displacing approximately 370 coffins, with over 200 plunging into the sea. This disaster necessitated the recovery and identification of human remains under challenging conditions to provide closure to families and uphold the dignity of the deceased.

methodsRecovery operations involved firefighters and scuba divers, followed by forensic analysis conducted by the Medical Staff of Legal and Forensic Medicine. A post-mortem team utilized forms adapted from Interpol's Disaster Victim Identification (DVI) standards to document remains, which included 140 decomposed bodies and 193 bags of commingled skeletal remains. DNA samples were collected from 147 bone fragments, primarily long bones and teeth, and compared with ante-mortem data gathered from relatives.

resultsOf the 77 eligible relatives, 66 consented to DNA sample collection for genetic profiling, and 28 bodies were identified. Personal effects, clothing, medical devices, and a strong match between non-genetic AM and PM data led to an attribution of identity of other 19 individuals. Advanced post-mortem phenomena were observed in remains spanning from the late 19th century to 2017. An identification area at the cemetery facilitated streamlined operations, emphasizing environmental preservation and forensic accuracy.

conclusionsThe cemetery collapse highlights the necessity for tailored forensic approaches in disaster scenarios. Accurate identification methods, combining genetic analysis and secondary means, are crucial for ensuring dignified burials and providing closure to affected families.

Indexed as

CemeteriesForensic AnthropologyForensic MedicineBody RemainsDNA FingerprintingFemaleHumansItalyMalecemetery collapsedisaster victim identificationforensic identificationgenetic profilinghuman remains recovery

Identifiers

PMID40149429
PMCPMC11942096

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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.