Evidence map›Paper›PMID 34684853›Full record

ArticleMolecules (Basel, Switzerland)2021

Short and Long Time Bloodstains Age Determination by Colorimetric Analysis: A Pilot Study.

Alessandro Marrone, Daniele La Russa, Alberto Montesanto, Vincenzo Lagani, Mauro F La Russa, Daniela Pellegrino

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
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  3. Article
  4. Article
  5. Forensic Proteomics for the Discovery of NewInternational journal of molecular sciences · 2023
    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.

Alessandro MarroneDepartment of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Rende, Italy.ORCID 0000-0003-0489-0955
Daniele La RussaDepartment of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy.ORCID 0000-0003-1887-2854
Alberto MontesantoDepartment of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Rende, Italy.
Vincenzo LaganiInstitute of Chemical Biology, Ilia State University, 0162 Tbilisi, Georgia.ORCID 0000-0002-6552-6076
Mauro F La RussaDepartment of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Rende, Italy.
Daniela PellegrinoDepartment of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Rende, Italy.ORCID 0000-0002-9815-5195

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bloodstains found at crime scenes represent a crucial source of information for investigative purposes. However, in forensic practice, no technique is currently used to estimate the time from deposition of bloodstains. This preliminary study focuses on the age estimation of bloodstains by exploiting the color variations over time due to the oxidation of the blood. For this purpose, we used a colorimetric methodology in order to easily obtain objective, univocal and reproducible results. We developed two bloodstain age prediction algorithms: a short-term and a long-term useful model for the first 24h and 60 days, respectively. Both models showed high levels of classification accuracy, particularly for the long-term model. Although a small-scale study, these results improve the potential application of colorimetric analysis in the time-line reconstruction of violent criminal events.

Indexed as

AdultAlgorithmsBlood StainsColorimetryFemaleForensic MedicineHumansMalePilot Projectsbloodstain age estimationbloodstainscolorimetric analysis

Identifiers

PMID34684853
PMCPMC8540217

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Registered trials

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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.