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Record W3120875200 · doi:10.1177/1753193420981852

A volar approach to on-top plasty for correction of radial polydactyly: a case series of 21 patients

2021· article· en· W3120875200 on OpenAlexaboutno aff
Xia Fang, Pingtak Chan, Shengbo Zhou, Xinyi Dai, Ruiji Guo, Bin Wang

Bibliographic record

VenueJournal of Hand Surgery (European Volume) · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCongenital limb and hand anomalies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInterphalangeal JointPolydactylyThumbSurgeryMetacarpophalangeal jointDorsumAnatomyOrthodontics

Abstract

fetched live from OpenAlex

Correction of unequal radial polydactyly in which neither thumb duplicates possess both well-developed proximal and distal components, remains challenging. Current techniques using on-top plasty techniques require circumferential incisions, often resulting in postoperative swelling and dorsal scars. We described our experience using a volar approach to achieve better aesthetic and functional results. Twenty-one patients underwent this surgery between 2008 and 2018, with a mean follow-up of 5.1 years. The mean flexion–extension arc for the metacarpophalangeal joint was 75° and that of the interphalangeal joint was 43°. Mean percentage of key, tripod and tip pinch strength were 77%, 79% and 77%, respectively, when compared with the contralateral side. The Vancouver Scar Scale showed an average score of 1.2. We conclude from our study that the volar approach to on-top plasty is a good technique for the correction of unequal radial polydactyly, with good functional and aesthetic results. Level of evidence: IV

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.207
Teacher spread0.196 · 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 designCase report
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

Citations7
Published2021
Admission routes1
Has abstractyes

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