Evidence map›Paper›PMID 33987743›Full record

ArticleInternational journal of legal medicine2021

Insights to enhance the examination of tool marks in human cartilage.

Matthias Weber, Anja Niehoff, Markus A Rothschild

Abstract read
In one paragraph

Article in International journal of legal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Interpol Review Paper of Marks and Impression Evidence 2019-2022.Forensic science international. Synergy · 2023
    Review
  5. 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

3 authors.

Matthias WeberInstitute of Legal Medicine, Faculty of Medicine, University of Cologne, Melatengürtel 60-62, 50823, Cologne, Germany. Matthias.weber@uk-koeln.de.ORCID http://orcid.org/0000-0002-5932-1066
Anja NiehoffInstitute of Biomechanics and Orthopaedics, German Sport University Cologne, 50933, Cologne, Germany.
Markus A RothschildInstitute of Legal Medicine, Faculty of Medicine, University of Cologne, Melatengürtel 60-62, 50823, Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work deals with the examination of tool marks in human cartilage. We compared the effectiveness of several cleaning methods on cut marks in porcine cartilage. The method cleaning by multiple casts achieved the significantly highest scores (P = 0.02). Furthermore, we examined the grain-like elevations (dots) located on casts of cut cartilage. The results of this study suggest that the casting material forms these dots when penetrating cartilage cavities, which are areas where the strong collagen fibres leave space for the chondrocytes. We performed fixation experiments to avoid this, without success. In addition, 31 casting materials were compared regarding contrast under light-microscope and 3D tool marks scanner. Under the light-microscope, brown materials achieved significantly higher values than grey (P = 0.02) or black (P = 0.00) whereas under the 3D scanner, black materials reached higher contrast values than grey (P = 0.04) or brown (P = 0.047). To compare the accuracy and reproducibility of 6 test materials for cartilage, we used 10 knives to create cut marks that were subsequently scanned. During the alignment of the individual signals of each mark, the cross-correlation coefficients (X

Indexed as

AnimalsCostal CartilageHumansImaging, Three-DimensionalMaterials TestingMicroscopyModels, AnimalSpecimen HandlingSwineWounds, StabCartilageCastingCross-correlationSharp force traumaStriationsTool marks

Identifiers

PMID33987743
PMCPMC8354928

What OpenQuestion holds

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LicenceCC BY
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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.