Surgical Release of Gluteal Fibrosis in Children Results in Sustained Benefit at 5-Year Follow-up
Bibliographic record
Abstract
BACKGROUND: Gluteal fibrosis (GF) is a fibrotic infiltration of the gluteal muscles resulting in functionally limiting contracture of the hips and is associated with injections of medications into the gluteal muscles. It has been reported in numerous countries throughout the world. This study assesses the 5-year postoperative range of motion (ROM) and functional outcomes for Ugandan children who underwent surgical release of GF. METHODS: A retrospective cohort study of children who underwent release of GF in 2013 at Kumi Hospital in Eastern Uganda. Functional outcomes, hip ROM, and scar satisfaction data were collected for all patients residing within 40 km of the hospital. RESULTS: One hundred eighteen children ages 4 to 16 at the time of surgery were treated with surgical release of GF in 2013 at Kumi Hospital. Of those 118, 89 were included in this study (79.5%). The remaining 29 were lost to follow-up or lived outside the study's radius. Detailed preoperative ROM and functional data were available for 53 of the 89 patients. In comparison with preoperative assessment, all patients postoperatively reported ability to run normally (P<0.001), sit upright in a chair (P<0.001), sit while eating (P<0.001), and attend the entire day of school (P<0.001). Passive hip flexion (P<0.001) improved when compared with preoperative measurements. In all, 85.2% (n=75) of patients reported satisfaction with scar appearance as "ok," "good," or "excellent" 29.2% (n=26) of patients reported back or hip complaints. CONCLUSIONS: Overall, the 5-year postoperative outcomes suggest that surgical release of GF improves ROM and functional quality of life with sustained effect. LEVEL OF EVIDENCE: Level IV-case series.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".