Evidence map›Paper›PMID 25212126›Full record

ArticleInternational journal of legal medicine2015

Impact height and wall distance in bloodstain pattern analysis--what patterns of round bloodstains can tell us.

M Kettner, A Schmidt, M Windgassen, P Schmidt, C Wagner, F Ramsthaler

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of legal medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. The ring phenomenon of diluted blood droplets.International journal of legal medicine · 2016
    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.

M KettnerDepartment of Experimental Forensic Medicine, Institute of Forensic Medicine, Saarland University Medical School, Homburg/Saar, Germany, Mattias.Kettner@gmx.de.
A Schmidt
M Windgassen
P Schmidt
C Wagner
F Ramsthaler

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bloodstain pattern analysis is a routine procedure in forensic cases that involve bleeding wounds. It utilizes geometric principles to determine the sequence of actions causing the bloodshed and the area of origin, that is, from where the blood originated. The patterns formed by circular bloodstains from drops of blood that hit adjacent surfaces at a 90-degree angle are thought to provide indications of the height of the impact. In this study, blunt force exerted against a pool of blood, which was used as a surrogate for a bleeding wound, was carried out for five different impact-to-wall distances. The blunt force consisted of a hammer head that was dropped from a height of 1.5 m. High-speed photography of the impact and trajectories of the projected blood droplets was analysed. The patterns containing bloodstains produced by the droplets were analysed by measuring the circular bloodstains within the patterns. All the experiments showed that there were two distinct patterns or clusters of circular bloodstains that occurred at different heights above the impact site. The two patterns were a result of different fractions of blood that were projected in a garland or crown-like form of a "Worthington splash" after impact. The findings suggest that patterns of circular bloodstains cannot be used as direct indicators of impact height, but combined analysis of their clusters may lead to indirect determination of impact-to-wall distance and area of origin.

Indexed as

Blood StainsModels, BiologicalForensic MedicineHumansImage Processing, Computer-AssistedPhotographyWounds, Nonpenetrating

Identifiers

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.