Evidence map›Paper›PMID 36544619›Full record

ArticleHealth science reports2023

Morphometric analysis of the foramen magnum in sex estimation: An additional 3DCT study from Nepal on a larger sample.

Alok Atreya, Rijen Shrestha, Kiran Bhandari, Saurav K Malla, Sumnima Acharya, Ritesh G Menezes

Open access · goldAbstract read
In one paragraph

Article in Health science reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 3% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 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

6 authors at 4 institutions in 4 countries.

Alok AtreyaDepartment of Forensic Medicine Lumbini Medical College Palpa Nepal.ORCID 0000-0001-6657-7871
Rijen ShresthaDepartment of Anthropology Punjab University Chandigarh India.
Kiran BhandariDepartment of Radiology Lumbini Medical College Palpa Nepal.
Saurav K MallaDepartment of Radiology & Interventions Grande International Hospital Kathmandu Nepal.
Sumnima AcharyaDepartment of Radiology Lumbini Medical College Palpa Nepal.
Ritesh G MenezesDepartment of Pathology, College of Medicine Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia.ORCID 0000-0002-2135-4161
Nepal Medical College Teaching Hospital · NPChandigarh University · INGrande International Hospital · NPImam Abdulrahman Bin Faisal University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Estimation of sex of the skeletal remains plays a vital part in the identification of an individual. This study is focused on the morphometric measurements of the foramen magnum region and examining the accuracy of sexual dimorphism in the Nepalese population. Methods: Measurements were obtained from 3D computed tomography (CT) scan of 261 Nepalese adult cranial bases with known age and sex. Length and breadth of the foramen magnum, length and breadth of right and left occipital condyles and maximum and minimum intercondylar distance were measured on the base of the skull CT images. Results: The mean values for all parameters were higher in males than females except for the maximum intercondylar distance. Sex prediction done with discriminant function analysis could classify the skull with an overall accuracy of 70.5%-71%. Conclusions: It can be concluded from the results that the morphometric study of the foramen magnum is less reliable for sex estimation in the Nepalese population.

Indexed as

forensic anthropology population dataforensic radiologyidentificationNepalsexual dimorphism

Identifiers

PMID36544619
PMCPMC9758477
OpenAlexW4312113124

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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.