Functional Performance Tests Reveal Promising Results at 6 Months After Shoulder Stabilization Surgery
Bibliographic record
Abstract
Background: Although athletes are mostly allowed to return to play 6 months after shoulder stabilization surgery, there are inadequate data about their functional status during this period. Hypotheses: Performance tests would reveal insufficiency in the functional capacity of shoulder 6 months after stabilization surgery. Study Design: Prospective cohort study. Level of Evidence: Level 3. Methods: A total of 32 male athletes with arthroscopic anterior capsulolabral repair (AACR) were included in the study. Shoulder internal and external rotator (IR-ER) strength was assessed using isokinetic dynamometer at 60°/s and 180°/s angular velocities preoperatively and 6 months postoperatively. Shoulder function was assessed with closed kinetic chain upper extremity stability (CKCUES) test, Y balance test-upper quarter (YBT-UQ), and unilateral seated shot-put test (USSPT) at 6 months postoperation. Western Ontario shoulder instability index (WOSI) and Tampa scale of kinesiophobia (TSK) were used for the self-assessment of the shoulder. Mixed-model ANOVA was used to analyze the changes in the IR-ER strength on both shoulders. Limb symmetry index (LSI) was calculated for the IR-ER strength, YBT-UQ, and USSPT scores. Results: Shoulder IR strength was higher at 6 months postoperatively compared with preoperatively. The LSI was 76.4% and 76.6% for ER strength, and 94.2% and 94% for IR strength at 60°/s and 180°/s angular velocities, respectively, at the postoperative 6 month timepoint. The mean CKCUES test score was 21.8 ± 2.6 touches and the LSI was 94.7% for the YBT-UQ and 102.5% for the USSPT. WOSI ( P < 0.001) and TSK ( P = 0.001) scores were significantly lower at 6 months postoperatively. Conclusion: Functional status of the patients with shoulder stabilization surgery improved considerably 6 months after surgery, yet they did not fully recover function. Clinical Relevance: Exercise programs focusing on shoulder ER strength and shoulder performance should be emphasized after stabilization surgery.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".