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Record W2574258152 · doi:10.2106/jbjs.16.00398

Quality of Life in Bilateral Vs. Unilateral End-Stage Ankle Arthritis and Outcomes of Bilateral Vs. Unilateral Total Ankle Replacement

2017· article· en· W2574258152 on OpenAlexaffabout
Sagar Desai, Mark Glazebrook, Murray J. Penner, Kevin Wing, Alastair Younger, Ellie Pinsker, Timothy R. Daniels

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2017
Typearticle
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsSt. Paul's HospitalUniversity of British ColumbiaUniversity of TorontoDalhousie UniversityQueen Elizabeth II Health Sciences CentreSt. Michael's Hospital
Fundersnot available
KeywordsMedicineAnkle replacementAnkleSurgeryQuality of life (healthcare)ArthritisRetrospective cohort studyStage (stratigraphy)CohortInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: We performed a retrospective cohort study to compare preoperative health-related quality of life (HRQoL) between patients with bilateral and those with unilateral end-stage ankle arthritis. We also compared midterm outcomes in a subgroup of patients who had undergone staged bilateral total ankle replacement (TAR) with the outcomes in the group treated with unilateral TAR. METHODS: The HRQoL before surgical treatment was compared between 53 patients with bilateral end-stage ankle arthritis identified from the Canadian Orthopaedic Foot and Ankle Society Prospective Ankle Reconstruction Database and 106 patients with unilateral arthritis selected from the same database. Short Form-36 (SF-36) and American Academy of Orthopaedic Surgeons Foot and Ankle Module (AAOS-FAM) scores were used to assess preoperative HRQoL. Midterm outcomes (implant survival, HRQoL, and reoperation and revision rates) were compared between 37 patients who had undergone staged bilateral TAR and 106 patients treated with unilateral TAR; all patients were followed for at least 2 years. RESULTS: Preoperatively, patients with unilateral disease had a higher prevalence of posttraumatic arthritis, whereas patients with bilateral disease had a higher prevalence of primary and secondary arthritis (p < 0.001). The mean preoperative SF-36 physical component summary (PCS) score in the unilateral group was higher than that in the bilateral group (p < 0.002). The mean postoperative follow-up (and standard deviation) was 5.0 ± 2.0 years in the bilateral TAR group and 4.0 ± 1.8 years in the unilateral TAR group. The patients who underwent either unilateral or staged bilateral TAR demonstrated improved SF-36 PCS scores between the preoperative and postoperative evaluations (p < 0.001). The postoperative SF-36 PCS scores were similar between the patients with unilateral TAR and those with bilateral TAR (p = 0.70). Six ankles (6%) in the unilateral cohort and 6 ankles (8%) in the bilateral cohort required revision of the metal component (p = 0.52). The mean implant survival time was 10.9 years (95% confidence interval [CI] = 10.1 to 11.7 years) in the bilateral cohort and 9.2 years (95% CI = 8.5 to 9.8 years) in the unilateral cohort (p = 0.60). CONCLUSIONS: Preoperative SF-36 scores demonstrated that bilateral end-stage ankle arthritis is a more debilitating condition than unilateral arthritis. Patients who underwent staged bilateral TAR benefited as much as patients who underwent unilateral TAR, despite having a worse preoperative health status. Metal component revision rates and implant survival were similar between the 2 groups. LEVEL OF EVIDENCE: Therapeutic Level III. 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 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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.296
Teacher spread0.253 · 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 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

Citations16
Published2017
Admission routes2
Has abstractyes

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