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Record W4416229923 · doi:10.1053/j.jfas.2025.11.004

The role of weightbearing computed tomography in assessing first metatarsal pronation in hallux valgus: A systematic review

2025· article· en· W4416229923 on OpenAlexaboutno aff
Sérgio Soares, Riccardo Garibaldi, Peter M. Di Fiore

Bibliographic record

VenueThe Journal of Foot & Ankle Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsnot available
FundersFaculté de Biologie et de Médecine, Université de Lausanne
KeywordsComputed tomographyFirst metatarsalWeight-bearingSesamoid boneBiomechanicsTomography

Abstract

fetched live from OpenAlex

BACKGROUND: Hallux valgus is a multiplanar deformity often involving first metatarsal pronation. Weightbearing computed tomography may improve assessment compared to standard radiographs, which are limited to two-dimensional views. METHODS: A systematic review was conducted according to PRISMA guidelines. PubMed and Cochrane databases were searched for studies evaluating weightbearing computed tomography in assessing HV components, including metatarsal pronation and sesamoid position. Study quality was assessed using the Newcastle-Ottawa Scale. RESULTS: Fourteen studies (706 feet) were included. Weightbearing computed tomography consistently outperformed Weightbearing radiographs in detecting first metatarsal pronation and allowed more accurate differentiation between intrinsic torsion and joint malalignment. Pronation and sesamoid displacement were correlated, though thresholds and clinical significance varied. Nine studies were low risk of bias. CONCLUSIONS: Weightbearing computed tomography provides a more accurate and reproducible assessment of metatarsal pronation and sesamoid alignment than weightbearing radiographs. However, its clinical impact remains uncertain. Future studies should standardize measurements and assess whether pronation correction improves surgical outcomes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score0.360

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.015
GPT teacher head0.269
Teacher spread0.254 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
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

Citations1
Published2025
Admission routes1
Has abstractyes

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