Evidence map›Paper›PMID 36359484›Full record

ReviewDiagnostics (Basel, Switzerland)2022

Post-Mortem Interval and Microbiome Analysis through 16S rRNA Analysis: A Systematic Review.

Pamela Tozzo, Irene Amico, Arianna Delicati, Federico Toselli, Luciana Caenazzo

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Pamela TozzoDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy.ORCID 0000-0003-3736-1144
Irene AmicoDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy.
Arianna DelicatiDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy.ORCID 0000-0001-7891-2382
Federico ToselliDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy.
Luciana CaenazzoDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova, 35121 Padova, Italy.ORCID 0000-0003-3142-2874

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The determination of the Post-Mortem Interval (PMI) is an issue that has always represented a challenge in the field of forensic science. Different innovative approaches, compared to the more traditional ones, have been tried over the years, without succeeding in being validated as successful methods for PMI estimation. In the last two decades, innovations in sequencing technologies have made it possible to generate large volumes of data, allowing all members of a bacterial community to be sequenced. The aim of this manuscript is to provide a review regarding new advances in PMI estimation through cadaveric microbiota identification using 16S rRNA sequencing, in order to correlate specific microbiome profiles obtained from different body sites to PMI. The systematic review was performed according to PRISMA guidelines. For this purpose, 800 studies were identified through database searching (Pubmed). Articles that dealt with PMI estimation in correlation with microbiome composition and contained data about species, body site of sampling, monitoring time and sequencing method were selected and ultimately a total of 25 studies were considered. The selected studies evaluated the contribution of the various body sites to determine PMI, based on microbiome sequencing, in human and animal models. The results of this systematic review highlighted that studies conducted on both animals and humans yielded results that were promising. In order to fully exploit the potential of the microbiome in the estimation of PMI, it would be desirable to identify standardized body sampling sites and specific sampling methods in order to align data obtained by different research groups.

Indexed as

16S rRNAforensic sciencemicrobiomePMI (Post-Mortem Interval)systematic review

Identifiers

PMID36359484
PMCPMC9689864

What OpenQuestion holds

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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.