ArticleAnatomy & cell biology2020
Sex estimation from upper limb bones in a Thai population.
Article in Anatomy & cell biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- Application of machine learning for sex estimation using the first and second ribs in the Northern Thai population.Anatomy & cell biology · 2026Article
- Sex estimation from hand-wrist radiographic images: an artificial intelligence approach.International journal of legal medicine · 2026Article
- Triticeal cartilage in forensic anthropological investigations: sex and stature estimation with a machine learning approach.International journal of legal medicine · 2026Article
- Metric analysis of the postcranial skeleton: a comprehensive approach for biological sex estimation in an Italian population.International journal of legal medicine · 2026Article
- Sex estimation through the lens of cross-sectional geometric properties of the ulna.Forensic sciences research · 2025Article
- Exploration of the covariation signal between cortical bone and dentine volumes across the upper limb bones and anterior teeth in modern humans and relevance to evolutionary anthropology.Journal of anatomy · 2025Article
- Sex estimation techniques based on skulls in forensic anthropology: A scoping review.PloS one · 2024Article
- Sex assessment using the radius bone in a French sample when applying various statistical models.International journal of legal medicine · 2023Article
- Morphometric analysis of the foramen magnum in sex estimation: An additional 3DCT study from Nepal on a larger sample.Health science reports · 2023Article
- Sex estimation using radius in a Thai population.Anatomy & cell biology · 2021Article
- Advancements in sex estimation using the diaphyseal cross-sectional geometric properties of the lower and upper limbs.International journal of legal medicine · 2021Article
- Forensic sex estimation using the vertebrae: an evaluation on two European populations.International journal of legal medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sex estimation from skeletal remains is an important practice for forensic human identification. The aims of this study were to assess sexual dimorphism and to develop discriminant function equations for sex estimation using 12 measurements of upper limb bones (humerus, ulna, and radius) in a Thai population. The sample consisted of 228 Thai skeletons (114 males and 114 females) from the Forensic Osteology Research Center, Chiang Mai University, Chiang Mai, Thailand. All skeletal length variables were measured according to the Standards for Data Collection from Human Skeletal Remains. The values of measurements were used to develop the sex estimation equations using univariate and multivariate discriminant function analyses. The results of sexual dimorphism showed that upper limb bone lengths of males were statistically significantly longer than those of females in all dimensions (
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.