Evidence map›Paper›PMID 36103007›Full record

Observational studyForensic science, medicine, and pathology2023

Anthropometric study using three-dimensional pelvic CT scan in sex determination among adult Indonesian population.

Rosy Setiawati, Paulus Rahardjo, Ika Ruriana, Giuseppe Guglielmi

Open access · hybridFull text readObservational Study
In one paragraph

Observational study in Forensic science, medicine, and pathology, 2023. 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
2.6field-weighted citation impact, top 10% 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, 15 citations in OpenAlex.

  1. Article
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  7. No Bones About It: Sex Is Binary.Archives of sexual behavior · 2024
    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

4 authors at 2 institutions in 2 countries.

Rosy SetiawatiRadiology Department, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia. rosy-s@fk.unair.ac.id.ORCID 0000-0001-8442-7287
Paulus RahardjoRadiology Department, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.
Ika RurianaRadiology Department, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.
Giuseppe GuglielmiDepartment of Clinical and Experimental Medicine, School of Medicine, Foggia University, Foggia, Italy.
Airlangga University · IDUniversity of Foggia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to determine pelvic anthropometry characteristics and logistic regression formula for adult sex identification obtained from adult three-dimensional pelvic computed tomography images. This study was an observational analytical study with retrospective regression and cross-sectional approach. The population was all patients at Radiology Installation of Dr. Soetomo General Academic Hospital as referral hospital in East Indonesian region, from September to December 2019 who underwent 3D pelvic CT examination. Then, age distribution and pelvic measurements data were obtained. In this case, statistical analysis was conducted for all the data obtained. A number of 204 samples were included in this study. All radiologic components were also significantly different between sexes (p < 0.05) except for transverse diameter of sacral segment (p = 0.180). Moreover, the conjugate pelvic inlet diameter (CPID), the left innominate height (LIH), and sub pubic angle (SPA) showed significant values for regression formula to determine an adult's sex using 3D pelvic CT. The calculation result > 0 is a prediction for female while < 0 is a prediction for male. From logistic regression model calculation, a high validity value (91.05%) was found with 100% sensitivity to identify male sex and 81.1% specificity to identify female sex. There were differences on radiometric variable characteristics in pelvic anthropometric study among adult Indonesians at Dr. Soetomo General Academic Hospital, Surabaya. The estimated values of pelvic measurements using 3D CT images could develop a pelvic model with a regression formula with high accuracy value using CPID, LIH, and SPA values.

Indexed as

SacrumTomography, X-Ray ComputedAdultAnthropometryFemaleHumansIndonesiaMaleRetrospective StudiesAnthroprometric studyPelvic 3D CT scanSex determinationSexual dimorphism

Identifiers

PMID36103007
PMCPMC10014651
OpenAlexW4295757622

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read39
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.