Evidence map›Paper›PMID 31069551›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2019

A

Emanuela Locci, Matteo Stocchero, Antonio Noto, Alberto Chighine, Luca Natali, Pietro Emanuele Napoli, Roberto Caria, Fabio De-Giorgio, Matteo Nioi, Ernesto d'Aloja

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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
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  9. Toward Power Analysis for Partial Least Squares-Based Methods.Biometrical journal. Biometrische Zeitschrift · 2025
    Article
  10. Article
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  13. Metabolomics investigation of post-mortem human pericardial fluid.International journal of legal medicine · 2023
    Article
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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 3 institutions in 1 country.

Emanuela LocciDepartment of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy. elocci@unica.it.ORCID 0000-0003-0237-4228
Matteo StoccheroDepartment of Women's and Children's Health, University of Padova, Padua, Italy.ORCID 0000-0001-9296-8390
Antonio NotoDepartment of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy.ORCID 0000-0003-3538-0050
Alberto ChighineDepartment of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy.ORCID 0000-0003-0952-9712
Luca NataliDepartment of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy.ORCID 0000-0002-3657-7827
Pietro Emanuele NapoliDepartment of Surgical Sciences, Eye Clinic, University of Cagliari, Cagliari, Italy.ORCID 0000-0001-7020-0823
Roberto CariaDepartment of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy.ORCID 0000-0003-1199-5296
Fabio De-GiorgioInstitute of Public Health, Section of Legal Medicine, Catholic University of Rome, Rome, Italy.ORCID 0000-0001-7433-0924
Matteo NioiDepartment of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy.ORCID 0000-0002-3645-6005
Ernesto d'AlojaDepartment of Medical Sciences and Public Health, Section of Legal Medicine, University of Cagliari, Cagliari, Italy.ORCID 0000-0003-4456-6252
University of Cagliari · ITUniversità Cattolica del Sacro Cuore · ITUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe estimation of the time since death, or post-mortem interval (PMI), still remains a main conundrum in forensic science. Several approaches have been so far proposed from either a qualitative or a quantitative point of view, but they still lack reliability and robustness. Recently, metabolomics has shown to be a potential tool to investigate the time-related post-mortem metabolite modifications in animal models.

objectivesHere we propose, for the first time, the use of a

methodsAH samples were collected at different times after death (from 118 to 1429 min).

resultsA multivariate calibration model was built to estimate PMI on the basis of the metabolite content of the samples. The model was validated with an independent test set, obtaining a prediction error of 59 min for PMI < 500 min, 104 min for PMI from 500 to 1000 min, and 118 min for PMI > 1000 min. Moreover, the metabolomic approach suggested a picture of the mechanisms underlying the post-mortem biological modifications, highlighting the role played by taurine, choline, and succinate.

conclusionThe time-related modifications of the

Indexed as

Disease Models, AnimalMetabolomicsPostmortem ChangesAnimalsAqueous HumorFemaleProton Magnetic Resonance SpectroscopySheepTime Factors1H NMRAnimal modelAqueous humourMetabolomicsPMI estimation

Identifiers

PMID31069551
OpenAlexW2944710953

What OpenQuestion holds

Textmetadata
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.