Evidence map›Paper›PMID 40588790›Full record

ArticleJournal of forensic sciences2025

From theory to practice: Protocol adaptations for swift victim identification in the forensic response to the October 7, 2023, Hamas massacre.

Esi Sharon, Tzipi Kahana, Sarena Wiesner, Yael Herman, Naftaly Einot, Uri Argaman

Abstract read
In one paragraph

Article in Journal of forensic sciences, 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

6 authors.

Esi SharonDepartment of Prosthodontics, Faculty of Dental Medicine, Hadassah Medical Center, Hebrew University of Jerusalem, Jerusalem, Israel.ORCID https://orcid.org/0009-0008-1294-5622
Tzipi KahanaDivision of Identification and Forensic Science, Israel Police, Jerusalem, Israel.
Sarena WiesnerDivision of Identification and Forensic Science, Israel Police, Jerusalem, Israel.
Yael HermanDivision of Identification and Forensic Science, Israel Police, Jerusalem, Israel.
Naftaly EinotDivision of Identification and Forensic Science, Israel Police, Jerusalem, Israel.
Uri ArgamanDivision of Identification and Forensic Science, Israel Police, Jerusalem, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The October 7, 2023, massacre in Israel posed unprecedented challenges for disaster victim identification (DVI), requiring adaptations to international forensic protocols to address extreme conditions, including active conflict, fragmented remains, and cultural and religious constraints. The urgency of establishing a list of missing persons and establishing whether individuals were deceased or taken hostage, and in turn distinguishing victims from perpetrators, complicated the process. This study examines the modifications and innovations implemented throughout the DVI operation, integrating international best practices with locally adapted strategies. Key adaptations included enhanced interagency coordination and novel forensic identification techniques. Despite the unprecedented scale and complexity of this DVI incident for Israel, 96% of the 1200 victims were identified within 3 weeks. The operation underscored the critical importance of adaptability, real-time collaboration, and technological innovation in mass fatality response.

Indexed as

Crime VictimsDisaster VictimsForensic AnthropologyMass Casualty IncidentsBody RemainsForensic SciencesHumansIsrael2023disaster victim identification (DVI)interagency coordinationmanagementmassacreOctober 7

Identifiers

PMID40588790
PMCPMC12584124

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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.