Intraoperative Classification System Yields Favorable Outcomes for Patients Treated Surgically for Greater Trochanteric Pain Syndrome
Bibliographic record
Abstract
PURPOSE: To use a prospectively collected database to internally validate a previously published intraoperative classification system by determining its utility in improving patient-reported outcome scores (PROS). METHODS: Open or endoscopic procedures performed at a single center between February 2008 and March 2018 with minimum 2-year follow-up were reviewed. Patients were prospectively classified intraoperatively as one of five greater trochanteric pain syndrome (GTPS) types according to the Lall GTPS classification system and underwent one of the six following surgical procedures: trochanteric bursectomy (TB, type I); TB with trochanteric micropuncture (type II); endoscopic suture staple repair (type IIIA); endoscopic single row transtendinous repair (type IIIB); open or endoscopic double row repair (type IV); and gluteus maximus/tensor fasciae latae transfers (type V). The following PROS were analyzed to assess the efficacy of treatment and validity of the classification scheme: modified Harris Hip Score (mHHS), Nonarthritic Hip Score, The International Hip Outcome Tool, Hip Outcome Score-Sport-Specific Subscale, and visual analog scale for pain. RESULTS: In total, 324 patients (287 female, 37 male) underwent surgical management per GTPS classification type: 109 type I; 26 type II; 20 type IIIA; 118 type IIIB; 44 type IV; and 7 type V. The mean age and follow-up time were 51.9 ± 12.5 years and 44.5 ± 20.5 months, respectively. All patients PROS improved from baseline to minimum 2-year follow-up (P < .05). High rates of the minimal clinically important difference for mHHS (70.0-100.0) and Nonarthritic Hip Score (73.1-92.7) and patient acceptable symptomatic state for mHHS (70.0-94.5) and International Hip Outcome Tool (58.1-86.7) were achieved per GTPS type. Patient satisfaction was 7.9/10. CONCLUSIONS: This validation study supports that the classification system and treatment algorithm for surgical treatment of various GTPS types leads to favorable patient-reported outcomes. These findings provide surgeons with a validated classification system and treatment algorithm to manage peritrochantric pathology diagnosed intraoperatively. LEVEL OF EVIDENCE: III, prognostic study.
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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 | 0.001 | 0.005 |
| 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) | 0.001 | 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".