Evidence map›Paper›PMID 32248308›Full record

ArticleInternational journal of legal medicine2020

A field study to evaluate PMI estimation methods for advanced decomposition stages.

Stefan Pittner, Valentina Bugelli, Katharina Weitgasser, Angela Zissler, Sangob Sanit, Lena Lutz, Fabio Monticelli, Carlo P Campobasso, Peter Steinbacher, Jens Amendt

Open access · hybridAbstract read
In one paragraph

Article in International journal of legal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
8.5field-weighted citation impact, top 2% of its field
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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 86 citations in OpenAlex.

  1. Pooled it
  2. "Omics" and Postmortem Interval Estimation: A Systematic Review.International journal of molecular sciences · 2025
    Pooled it
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  14. Microbial genomics: a potential toolkit for forensic investigations.Forensic science, medicine, and pathology · 2025
    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 at 5 institutions in 4 countries.

Stefan PittnerDepartment of Forensic Medicine, University of Salzburg, Salzburg, Austria. stefan.pittner@sbg.ac.at.
Valentina BugelliDepartment of Medicine and Health Sciences, University of Molise, Campobasso, Italy.
Katharina WeitgasserDepartment of Biosciences, University of Salzburg, Salzburg, Austria.
Angela ZisslerDepartment of Biosciences, University of Salzburg, Salzburg, Austria.
Sangob SanitDepartment of Parasitology, Chiang Mai University, Chiang Mai, Thailand.
Lena LutzInstitute of Legal Medicine, Goethe-University Frankfurt, Frankfurt, Germany.
Fabio MonticelliDepartment of Forensic Medicine, University of Salzburg, Salzburg, Austria.
Carlo P CampobassoDepartment of Experimental Medicine, University L. Vanvitelli of Campania, Aversa, Italy.
Peter SteinbacherDepartment of Biosciences, University of Salzburg, Salzburg, Austria.
Jens AmendtInstitute of Legal Medicine, Goethe-University Frankfurt, Frankfurt, Germany.
University of Salzburg · ATGoethe University Frankfurt · DEChiang Mai University · THUniversity of Campania "Luigi Vanvitelli" · ITUniversity of Molise · IT

Funding

Austrian Science Fund FWF P 31490
6 · The paper itself

Abstract

Estimating the postmortem interval (PMI) is one of the major tasks and a continuous challenge in forensic pathology. It is often an exclusion process of available methods, which ultimately can lead to an unsatisfactory outcome due to poor reliability. This problem is most acute in the late PMI, when decomposition proceeds and some methods (such as rigor, livor, and algor mortis) are no longer applicable. Several methods, such as forensic entomology, skeletal muscle protein degradation, and the study of body decomposition by application of a morphological scoring, are expected to provide further information; however, all have certain limitations and weaknesses. Availability of a tool-box of methods allows a case-specific selection of the most appropriate one(s), or eventually provides improvements in the overall accuracy and precision of the PMI estimation by merging and combining methods. To investigate practical (field) application, eventual interferences, and/or synergetic effects, as well as the robustness of these methods towards specific influencing factors, a field study was conducted, using eight pig cadavers of different body weights and physical coverage, left to decompose under natural conditions for 16 days. Morphological changes during decomposition were assessed using the total body score (TBS), muscle samples were collected to analyze protein degradation, and insect colonization was evaluated. The results reveal strengths and current limitations of all tested methods, as well as promising synergistic effects, and thus, provide a baseline for targeted future research.

Indexed as

Models, AnimalPostmortem ChangesSwineAnimalsBody RemainsForensic PathologyPilot ProjectsEntomologyField studyMorphologyPMI estimationProtein degradationTotal body score

Identifiers

PMID32248308
PMCPMC7295721
OpenAlexW3014303071

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.