Evidence map›Paper›PMID 39000576›Full record

SynthesisInternational journal of molecular sciences2024

The Role of Molecular Investigations in Estimating the Time since Deposition (TSD) of Bloodstains: A Systematic Review of the Literature.

Matteo Antonio Sacco, Saverio Gualtieri, Alessandro Pasquale Tarallo, Luca Calanna, Raffaele La Russa, Isabella Aquila

Abstract readSystematic Review
In one paragraph

Synthesis in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Matteo Antonio SaccoInstitute of Legal Medicine, Department of Medical and Surgical Sciences, "Magna Graecia" University, 88100 Catanzaro, Italy.ORCID 0000-0002-1750-3742
Saverio GualtieriInstitute of Legal Medicine, Department of Medical and Surgical Sciences, "Magna Graecia" University, 88100 Catanzaro, Italy.
Alessandro Pasquale TaralloInstitute of Legal Medicine, Department of Medical and Surgical Sciences, "Magna Graecia" University, 88100 Catanzaro, Italy.
Luca CalannaInstitute of Legal Medicine, Department of Medical and Surgical Sciences, "Magna Graecia" University, 88100 Catanzaro, Italy.
Raffaele La RussaDepartment of Clinical Medicine, Public Health, Life Sciences, and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0003-3433-7122
Isabella AquilaInstitute of Legal Medicine, Department of Medical and Surgical Sciences, "Magna Graecia" University, 88100 Catanzaro, Italy.ORCID 0000-0002-2481-6050

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At many crime scenes, investigators are able to trace and find traces of blood. For many years, it was believed that such traces could only be subjected to genetic investigations, such as those aimed at comparing DNA profiling with a suspect to verify his identity, and that it was therefore not possible to backdate the traces. In recent years, various works have used experimental models to investigate the possibility of identifying markers and methodologies for estimating the time since deposition (TSD) of bloodstains. Despite the results, these methods are still not part of standard procedures, and there is no univocal analysis methodology. In this work we carried out a systematic literature review of all the papers published in the last ten years on this topic, comparing the experimental models created. This review demonstrates the potential that different molecular approaches, such as transcriptomics, metabolomics, proteomics, and spectrometry, can have in the analysis of TSD, with notable sensitivity and specificity. This paper also analyzes the intrinsic and extrinsic limits of these models and emphasizes the need to continue research work on this topic, considering the importance that this parameter can assume in forensic investigations against a suspect.

Indexed as

Blood StainsBiomarkersForensic MedicineHumansMetabolomicsProteomicsTime FactorsBiomarkersbloodstainsforensic sciencestime since deposition

Identifiers

PMID39000576
PMCPMC11242220

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.