Pain in Non-Athlete Patients Undergoing Hip Arthroscopy for Femoroacetabular Impingement and Hip Labral Tears: A Longitudinal Study
Bibliographic record
Abstract
Background: Pain in patients with orthopedic problems is an important aspect of surgical evaluation. However, the effect on the quality of life depends not only on the degree of pain but also on its type. Hip arthroscopy has been performed for hip joint symptoms caused by femoroacetabular impingement (FAI) and hip labrum tears. However, the degree and type of pain after hip arthroscopy remains unknown. Objective: This study aimed to clarify the degree and type of pain during 6 months after hip arthroscopy. Methods: Non-athlete patients aged 20 - 65 years who underwent hip arthroscopy between December 2018 and October 2019 participated in a questionnaire survey before hospitalization and at 1, 3, and 6 months after surgery. The questionnaire comprised the Japanese Orthopaedic Association Hip-Disease Evaluation Questionnaire (JHEQ) for quality of life, International Physical Activity Questionnaire (IPAQ) for activities, and the Short-Form McGill Pain Questionnaire (SF-MPQ-2) for pain. Results: The analysis included 10 patients (men: 4, women: 6, mean age: 38 ± 8.6 years, FAI: 6 cases, hip labrum tears: 4 cases). The average time from symptom onset to surgery was 26.9 ± 19.0 months. The analysis from before surgery to 6 months after surgery showed improvement over time in all scale scores (JHEQ, IPAQ, and SF-MPQ-2). The degree of pain was significantly improved based on the JHEQ visual analog scale evaluation (P = 0.019) 3 months after surgery. Significant improvement in intermittent pain (P = 0.011) based on SF-MPQ-2 was noted 3 months after surgery; however, no significant improvement in continuous pain was noted. Conclusions: Patients who underwent hip arthroscopy showed significant improvements in the degree of pain and type of intermittent pain from before surgery to 3 months after surgery, however, no change was observed in continuous pain.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".