Evidence map›Paper›PMID 36787652›Full record

ArticleAmerican journal of biological anthropology2022

An osteometric and 3D analysis of the atlanto-occipital joint: An initial screening method to exclude crania and atlases in commingled remains.

Annalisa Cappella, Luciana Affatato, Daniele Gibelli, Debora Mazzarelli, Matteo Zago, Claudia Dolci, Chiarella Sforza, Cristina Cattaneo

Open access · hybridAbstract read
In one paragraph

Article in American journal of biological anthropology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
13.8field-weighted citation impact, top 2% of its field
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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Annalisa CappellaDipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milan.ORCID 0000-0002-4527-4203
Luciana AffatatoLaboratorio di Antropologia e Odontologia Forense, Sezione Medicina Legale, Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milan, Italy.
Daniele GibelliDipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milan.ORCID 0000-0002-9591-1047
Debora MazzarelliLaboratorio di Antropologia e Odontologia Forense, Sezione Medicina Legale, Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milan, Italy.
Matteo ZagoDipartimento di meccanica, Politecnico di Milano, Milan, Italy.
Claudia DolciDipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milan.
Chiarella SforzaDipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milan.
Cristina CattaneoLaboratorio di Antropologia e Odontologia Forense, Sezione Medicina Legale, Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milan, Italy.
University of Milan · ITPolitecnico di Milano · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe anatomical features of the atlanto-occipital joint can be potentially useful in re-associating or excluding crania to atlases in commingled remains. This study investigated whether linear measurements and the 3-dimensional (3D) surface of occipital condyles and articular facets of atlases can represent valid insights for this purpose.

methodsThe variations among eight corresponding linear distances were analyzed in a sample of 150 individuals through six supervised machine learning techniques attempting to develop classifiers able to identify elements belonging to the same individual. Furthermore, a 3D analysis was conducted on the articular surfaces through superimpositions of 3D models of corresponding and non-corresponding crania and atlases obtained by using respectively stereophotogrammetry and laser scanning. This analysis investigated differences in terms of point-to-point distances (Root Mean Square, RMS) of superimposed 3D surfaces.

resultsNone of the six machine learning techniques were able to correctly detect a satisfying percentage of correspondent pairs in the overall sample by using the linear variables. The 3D analysis of the articular surfaces found RMS values over 0.53 mm only for superimposed non-corresponding surfaces, which sets a threshold value to identify 32% of incorrect pairs. DISCUSSION: The re-association of cranium to atlas proved to be challenging and hardly possible when considering only metric variables. However, the 3D geometry of the articular surfaces represents a valid variable for this purpose and 3D analyses pave the way for an initial exclusion of incorrect re-associations, thus should not be considered as a re-association method per se, but as an exclusionary screening technique.

Indexed as

Atlanto-Occipital JointHumansOccipital BonePhotogrammetry3D analysisanatomical variabilityAtlanto-occipital jointcommingled remainsosteometrics

Identifiers

PMID36787652
PMCPMC9299177
OpenAlexW3213628625

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.