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Sexual Dimorphism in Bones of the Thenar and Hypothenar Aspects of the Hand

2017· article· en· W3168553600 on OpenAlexaff
Avery Williams, Biren A. Patel, Matthew W. Tocheri, Caley M. Orr

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsLakehead University
FundersNational Science Foundation
KeywordsSexual dimorphismCarpometacarpal jointAnatomyCarpal bonesThumbJoint (building)Articular surfaceOsteoarthritisMedicineOrthodonticsWristPathology

Abstract

fetched live from OpenAlex

Osteoarthritis of the pollical carpometacarpal joint is significantly more prevalent in females than in males. Although a number of hypotheses to explain sex differences in the prevalence of thumb osteoarthritis have been proposed, one possibility is that it is a product of sexual dimorphism where female hands have smaller joint surfaces relative to muscle strength, which results in higher stresses on the joints. Although dimorphism of the skull and long bones has been extensively researched, there are few basic data on female‐versus‐male differences in the short and irregular bones. Therefore, it is unclear whether sexual dimorphism is a relevant avenue of investigation for determining the cause of such sex‐based differences in hand pathology. Because powerful precision gripping is dependent on the thenar and hypothenar muscles, the hand bones with muscle attachments or that are directly subjected to transarticular loading by these muscles are of particular interest. Therefore, we investigated four hand bones contributing to the first and fifth carpometacarpal articulations in a sample of humans of African and European descent, and it was predicted that females would have smaller overall bone volumes and areas, smaller individual joint surface areas, as well as different joint and muscle attachment shapes. The hamate, trapezium, first metacarpal (Mc1), and fifth metacarpal (Mc5) of each individual were laser scanned to generate 3D surface polygon models. Volume and surface area were calculated for each bone as a whole in addition to the areas of specific joint surfaces. The shape of the pollical carpometacarpal joint (proximal Mc1 and distal trapezium) was assessed with quadric fitting functions to determine their dorsovolar and radioulnar curvatures. For the hamate, the orientation of the triquetrohamate joint surface relative to the proximodistal axis was quantified, and for the hamulus (which provides attachments for the flexor digiti minimi brevis, opponens digiti minimi, and flexor carpi ulnaris) its length, width, breadth, and angle were measured. The results indicate that females tend to have bones that are significantly smaller in overall size with correspondingly smaller joint surfaces, and a hamulus that differs in both size and shape. Future work will diversify the sample and incorporate measurements of relative thenar and hypothenar muscle force potential to further evaluate the biomechanical consequences of skeletal dimorphism. Such an approach may allow us to better investigate more specific factors contributing to the increased osteoarthritis risk in the hands of females. Support or Funding Information National Science Foundation (BCS‐1539741, BCS‐1317047), Wenner‐Gren Foundation, Leakey Foundation

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.259
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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