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Outcomes of Revision Total Wrist Arthroplasty

2021· article· en· W3137135344 on OpenAlexaff
Eric R. Wagner, Jason J. Srnec, Michael W. Fort, Laurel A. Barras, Marco Rizzo

Bibliographic record

VenueJAAOS Global Research and Reviews · 2021
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsObject Research Systems (Canada)
Fundersnot available
KeywordsMedicinePeriprostheticWristUlnar deviationSurgerySubluxationArthroplastyWrist painDeformity

Abstract

fetched live from OpenAlex

In this study, we analyzed the outcomes of revision total wrist arthroplasty done over a 40-year period. During this period, 76 consecutive revision total wrist arthroplasties were done in 69 patients with a mean age of 56 and a follow-up of 10.3 years. Patients commonly experienced pain relief, with 58 (91%) experiencing no or mild pain postoperatively. There was no statistically significant change in flexion or extension, but a statistically significant decrease in ulnar deviation and a corresponding increase in radial deviation. However, a high rate of complications and repeat revision surgery were observed. The primary indications for a repeat revision surgery were distal loosening (n = 11), proximal loosening (n = 1), deformity and pain (n = 8), periprosthetic infection (n = 3), dislocation (n = 2), subluxation (n = 1), intraoperative fracture (n = 1), and suspected metal allergy (n = 1). Complications were distal loosening (n = 15), proximal loosening (n = 3), dislocation (n = 7), intraoperative fracture (n = 7), postoperative fracture (n = 2), and component fracture (n = 3). When advising the patient, clear information must be given about the high rate of complications connected with revision arthroplasty and the risk of further revision, eventually leading to total wrist fusion. 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 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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.627
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.086
GPT teacher head0.437
Teacher spread0.351 · 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 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

Citations10
Published2021
Admission routes1
Has abstractyes

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