Evidence map›Paper›PMID 40133677›Full record

ReviewInternational journal of legal medicine2025

Exploring human hair degradation: A preliminary study for estimating time-since-death.

Angela Silva-Bessa, Stuart Ramage, Maria Teresa Ferreira, Ricardo Jorge Dinis-Oliveira, Shari L Forbes, Lorna Dawson

Abstract readReview
In one paragraph

Review in International journal of legal medicine, 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. Review
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.

Angela Silva-BessaCentre for Functional Ecology, Laboratory of Forensic Anthropology, Department of Life Sciences, University of Coimbra, Coimbra, Portugal. asilvabe@sfu.ca.ORCID http://orcid.org/0000-0003-1336-0446
Stuart RamageSchool of Pharmacy and Life Sciences, Robert Gordon University, Aberdeen, Scotland.ORCID http://orcid.org/0000-0002-5152-4416
Maria Teresa FerreiraCentre for Functional Ecology, Laboratory of Forensic Anthropology, Department of Life Sciences, University of Coimbra, Coimbra, Portugal.ORCID http://orcid.org/0000-0002-2437-7780
Ricardo Jorge Dinis-OliveiraAssociate Laboratory i4HB - Institute for Health and Bioeconomy, University Institute of Health Sciences - CESPU, 4585-116, Gandra, Portugal.ORCID http://orcid.org/0000-0001-7430-6297
Shari L ForbesDepartment of Chemistry and Biochemistry, University of Windsor, Windsor, ON, Canada.ORCID http://orcid.org/0000-0001-7416-0080
Lorna DawsonSchool of Pharmacy and Life Sciences, Robert Gordon University, Aberdeen, Scotland.ORCID http://orcid.org/0000-0002-8125-2458

Funding

Fundação para a Ciência e a Tecnologia SFRH/BD/143242/2019
6 · The paper itself

Abstract

Postmortem interval (PMI) estimation is a challenging task in forensic investigations. PMI assessment frequently requires the application of the currently available methods which can lead to unsatisfactory results due to the poor accuracy of time interval estimation. To address these concerns, the present study aimed to evaluate whether there is a correlation between human hair proteolysis and PMI. Scalp hair samples of three living donors and eleven individuals exhumed from different burial types from Portuguese cemeteries were analysed by ATR-FTIR (attenuated total reflectance - Fourier-transform infrared). Four band areas and three hair degradation indices were considered in the 2000-1000 cm

Indexed as

HairPostmortem ChangesProteolysisAdultAgedBurialExhumationFemaleHumansMaleMiddle AgedSpectroscopy, Fourier Transform InfraredATR-FTIRMicrotaphonomyPostmortem intervalProteolysis

Identifiers

PMID40133677
PMCPMC12170699

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.