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Record W3126019492 · doi:10.1097/btf.0000000000000294

First Metatarsophalangeal Joint Polyvinyl Alcohol Hydrogel Implant Hemiarthroplasty: Current Operative Technique

2021· article· en· W3126019492 on OpenAlexaff
Alastair Younger, Mark Glazebrook, Timothy R. Daniels, Keith L. Wapner, Christopher W. DiGiovanni, Judith F. Baumhauer

Bibliographic record

VenueTechniques in Foot & Ankle Surgery · 2021
Typearticle
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsSt. Michael's HospitalUniversity of TorontoQueen Elizabeth II Health Sciences CentreDalhousie UniversityUniversity of British Columbia
Fundersnot available
KeywordsMedicineHallux rigidusImplantRandomized controlled trialSurgeryArthrodesis

Abstract

fetched live from OpenAlex

Polyvinyl alcohol hydrogel implant hemiarthroplasty for the first metatarsophalangeal joint has been shown to be an effective, safe, motion-preserving, surgical treatment alternative to fusion for hallux rigidus in a level I, randomized controlled trial. To obtain optimal results, however, surgeons must be sure to perform the appropriate surgical technique as well as educate patients regarding pertinent risks, benefits, and the associated recovery process. Achievement of results commensurate with those published in the randomized controlled trial is predicated on an understanding of the various technical aspects of the surgical procedure, such as avoiding excessive heat during reaming, ensuring appropriate implant positioning, and appreciating the need for performing associated procedures when anatomically appropriate, as well as their potential effect on clinical outcome. This paper will review the initial technique described in 2013 and provide key clinical care suggestions resulting from the 10 years of experience with polyvinyl alcohol hydrogel implant hemiarthroplasty for the surgical treatment of hallux rigidus. Levels of Evidence: Diagnostic Level V. See Instructions for Authors for a complete description of levels of evidence.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.317
Teacher spread0.269 · 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.

Study designBench or experimental
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
Published2021
Admission routes1
Has abstractyes

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