Evidence map›Paper›PMID 30032458›Full record

ArticleInternational journal of legal medicine2019

Detectability of bloodstains after machine washing.

Michaela Hofmann, Jiri Adamec, Katja Anslinger, Birgit Bayer, Matthias Graw, Oliver Peschel, Martin M Schulz

Abstract read
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In one paragraph

Article in International journal of legal medicine, 2019. 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. 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

7 authors.

Michaela HofmannSystematic Botany and Mycology, University of Munich (LMU), Menzinger Straße 67, 80638, Munich, Germany.
Jiri AdamecInstitute of Legal Medicine, University of Munich, Nußbaumstraße 26, 80336, Munich, Germany.
Katja AnslingerInstitute of Legal Medicine, University of Munich, Nußbaumstraße 26, 80336, Munich, Germany.
Birgit BayerInstitute of Legal Medicine, University of Munich, Nußbaumstraße 26, 80336, Munich, Germany.
Matthias GrawInstitute of Legal Medicine, University of Munich, Nußbaumstraße 26, 80336, Munich, Germany.
Oliver PeschelInstitute of Legal Medicine, University of Munich, Nußbaumstraße 26, 80336, Munich, Germany.
Martin M SchulzInstitute of Legal Medicine, University of Munich, Nußbaumstraße 26, 80336, Munich, Germany. Martin.Schulz@med.uni-muenchen.de.ORCID http://orcid.org/0000-0002-6560-4265

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bloodstains on textiles can provide useful information for the forensic reconstruction of a crime. Surprisingly, little is known about the applicability of bloodstain traces after a textile was machine washed. In this study, we investigated the effect of machine washing on bloodstains on both cotton and polyester cloths. The influence of the washing detergent, the type of washing machine, the washing temperature, and the duration of drying of the bloodstain prior to washing as well as the drying temperature was investigated. Additionally, the molecular analyses of a subsample of the experiments were conducted. We found that although the primary morphology of the traces is often blurred, the presence of blood on the textiles can still be detected in many cases. Blood can also be transmitted to previously blood-free textiles during the washing process, leading to a positive Luminol or Combur® reaction of these samples. When traces of blood can be detected via the Luminol reaction, a molecular identification of the blood donor was successful in 28% of the cases.

Indexed as

Blood StainsLaunderingTextilesDetergentsDNADNA FingerprintingFemaleForensic SciencesHumansLuminescent AgentsLuminolMalePolymerase Chain ReactionTemperatureDetergentsDNALuminescent AgentsLuminolBlood stainsComburDNA typingLuminolMachine washTextiles

Identifiers

What OpenQuestion holds

Textmetadata
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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.