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Record W1483281739 · doi:10.1002/9781444345100.ch35

Fusion vs. Arthroplasty in the Treatment of 1st MTP Arthritis

2011· other· en· W1483281739 on OpenAlexaff
Jeffrey Tan, Gilbert Yee, Johnny Lau

Bibliographic record

VenueEvidence-Based Orthopedics · 2011
Typeother
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsThe Scarborough HospitalToronto Western HospitalUniversity of Toronto
Fundersnot available
KeywordsArthrodesisMedicineArthroplastyOsteoarthritisSurgeryImplant

Abstract

fetched live from OpenAlex

Arthrodesis and arthroplasty has been used for the treatment of advanced stage osteoarthritis of the first MTP joint. Arthroplasty techniques consist of Keller's resection arthroplasty, interpositional arthroplasty, hemiarthroplasty and total joint replacement. There is no consensus on the optimal technique of fusion of the MTP joint but successful fusion rates averages between 90-100%. Arthrodesis stabilises the first ray during gait in contrast to resection or interpositional arhroplasty, which is used in older patients with lower functional demand. There is fair evidence to support the treatment of arthrodesis and Keller's resection arthroplasty (Grade B recommendation) and insufficient evidence to support interpositional arthroplasty and total joint replacement (Grade I recommendation). Hemiarthroplasty or resurfacing of the proximal phalanx is only supported by weak evidence (Grade C recommendation). In limited comparative studies (Level II&III), arthrodesis provides superior results and longevity than implant arthroplasty. There is limited survivor analysis on the newer non-silastic implants used for arthroplasty. More randomised prospective studies are needed to evaluate the long term results of these implants.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.859
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.044
GPT teacher head0.286
Teacher spread0.242 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2011
Admission routes1
Has abstractyes

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