Evidence map›Paper›PMID 41584823›Full record

ArticleForensic science international. Synergy2026

Postmortem pancreatic autolysis as a histological marker of early postmortem interval: a forensic autopsy study in a tropical setting.

Sunon Sripirom, Vichan Peonim, Wisarn Worasuwannarak

Abstract read
In one paragraph

Article in Forensic science international. Synergy, 2026. 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. Letter to the editor - Regarding "Forensic science international. Synergy · 2026
    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

3 authors.

Sunon SripiromDepartment of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Vichan PeonimDepartment of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Wisarn WorasuwannarakDepartment of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate postmortem pancreatic autolysis as a histological marker of the early postmortem interval (PMI) in routine forensic autopsy, with particular emphasis on regional differences within the pancreas and application in a tropical setting. Methods: We studied 30 forensic autopsy cases with known PMI <24 h. From each pancreas, tissue from the head, body, and tail was sampled, fixed in formalin, processed routinely, and stained with hematoxylin-eosin. For each region, the proportion of parenchyma exhibiting characteristic autolytic changes was visually estimated as the percentage of autolysis. Spearman's correlation and simple linear regression were used to assess associations between PMI and autolysis. Results: The PMI ranged from 1 to 17 h (mean 6.4 h). PMI showed a significant positive correlation with autolysis in the head (ρ = 0.508), body (ρ = 0.561), tail (ρ = 0.566) and mean autolysis (ρ = 0.535) (all p ≤ 0.002). Correlations were stronger in traumatic deaths than in non-traumatic deaths. Simple linear regression with PMI as the predictor explained 19.5 % of the variance in mean percent autolysis (R Conclusions: Pancreatic autolysis provides useful information in the early PMI but lacks precision as a stand-alone estimator. It is best used as a practical histological adjunct within a multimodal, evidence-based approach to PMI estimation, especially in warm, humid environments.

Indexed as

Forensic histopathologyForensic pathologyPancreatic autolysisPostmortem intervalTime of death estimation

Identifiers

PMID41584823
PMCPMC12828800

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.