Patients with associated spine or other major joint pain have equivalent outcomes to patients with isolated hip pain after hip arthroscopy
Bibliographic record
Abstract
OBJECTIVES: This study aims to evaluate the outcomes of patients following surgery diagnosed with femoroacetabular impingement syndrome (FAIS) who also experience low back and other joint pain compared to those with isolated hip pain. METHODS: This is a retrospective cohort study of patients diagnosed with FAIS, with or without other joint pain, treated with hip arthroscopy from 2016 to 2020. Excluded cases were patients who had significant arthritis, irreparable labral tear requiring reconstruction, or were lost follow-up. Analysis was carried out in two ways, the first was according to the musculoskeletal morbidity (MSKM) scheme where patients were stratified into four different groups, and the second was according to the presence of any other joint or back pain (MSKM 2-4) compared to hip pain only (MSKM 1). Demographic data was analyzed between the groups. International Hip Outcome Tool 33 (iHOT-33) and Hip Outcome Score (HOS) were used as the primary and secondary outcome measures pre-operatively and a minimum of two years postoperatively. RESULTS: ) were similar between groups, whereas a statistically greater number of male participants were seen in the hip pain only group (MSKM 1). Pre-operatively, patients with isolated hip pain (MSKM 1), had a higher iHOT-33 scores (p < 0.05), but no statistically significant differences were observed postoperatively between the groups. All groups demonstrated a statistically significant improvement in iHOT-33 and HOS scores postoperatively compared to pre-operatively (p < 0.05), with 76 % meeting the threshold for minimum clinically important difference. CONCLUSION: Patient-reported outcomes following hip arthroscopy for FAIS were significantly greater postoperatively for all patients, despite the presence of other joint or back pain. This study can assist in driving patient expectations following hip arthroscopy for FAIS. LEVEL OF EVIDENCE: IV.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".