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Record W2995666981 · doi:10.1177/1071100719893334

Relationship of Preoperative Patient-Reported Outcome Measures (PROMs) to Postoperative Success in End-Stage Ankle Arthritis

2019· article· en· W2995666981 on OpenAlexaff
Feras Waly, Nicholas Eng Meng Yeo, Kevin Wing, Murray J. Penner, Andrea Veljkovic, Alastair Younger

Bibliographic record

VenueFoot & Ankle International · 2019
Typearticle
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineMinimal clinically important differenceReceiver operating characteristicOsteoarthritisAnklePhysical therapyPatient-reported outcomeArthritisQuality of life (healthcare)SurgeryInternal medicineRandomized controlled trial

Abstract

fetched live from OpenAlex

BACKGROUND: Ankle osteoarthritis is a significant cause of pain and disability. Despite the effectiveness of treatments, a subset of patients remains with persistent pain and functional limitations. The purpose of this study was to use preoperative patient-reported outcome measures to predict which ankle osteoarthritis patients would be most likely to experience postoperative improvements in functional outcomes. METHODS: A retrospective analysis of prospectively collected data was used to evaluate 427 patients with end-stage ankle arthritis with 5-year follow-up. Demographics, comorbidities, Ankle Osteoarthritis Scale (AOS), Ankle Arthritis Score (AAS), and the physical and mental component scores of the Short Form-36 (SF-36 Physical Components Score [PCS] and Mental Components Score [MCS]) were collected. The minimal clinically important difference (MCID) was then calculated. Receiver operating characteristic (ROC) analysis was used to choose the optimal threshold values of preoperative patient-reported outcome measure and assess the prediction performance. RESULTS: Patients who scored worst at preoperative baseline made the greatest gains in function and pain relief, and they had a high chance of achieving MCID following surgical treatment. ROC curves demonstrated that preoperative AOS, AAS, and SF-36 PCS and MCS scores were predictive of postoperative improvements in physical and mental function. Patients with preoperative AOS score above 45.7 had an 83% probability of achieving an MCID (AUC = 0.67). Similarly, patients with a preoperative AAS score above 25.7 had a 78% probability of achieving an MCID (AUC = 0.63). Patients with a preoperative SF-36 PCS score below 31 had a 62% probability of achieving an MCID (AUC = 0.64). Patients with a preoperative SF-36 MCS below 52.7 had a 47% probability of achieving an MCID (AUC = 0.89). MCIDs for AOS, AAS, SF3-36 PCS, and SF-36 MCS score changes were 12.4, 10.0, 6.43, and 8.1, respectively. CONCLUSION: Preoperative patient-reported outcomes measures could predict postoperative improvement in ankle arthritis patients. The results of this study may be used to facilitate discussion between physicians and patients regarding the expected benefit of surgery. LEVEL OF EVIDENCE: Level III, prognostic comparative study.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.311
Teacher spread0.267 · 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 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

Citations21
Published2019
Admission routes1
Has abstractyes

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