Comparing Postoperative Pain Experiences of the Adolescent and Adult Athlete After Anterior Cruciate Ligament Surgery.
Bibliographic record
Abstract
OBJECTIVE: To examine age-related differences in pain, catastrophizing, and affective distress (depression and anxiety) after athletic injury and knee surgery. DESIGN AND SETTING: Participants were assessed with measures of pain intensity, pain-related catastrophizing, depression, and anxiety symptoms at 24 hours after anterior cruciate ligament (ACL) surgery. SUBJECTS: Twenty patients (10 adolescents, 10 adults) with an acute complete tear of the ACL. MEASUREMENTS: Pain was assessed by Visual Analog Scale (VAS), catastrophizing with the Pain Catastrophizing Scale (PCS), depressive symptoms with the Beck Depression Inventory (BDI), and anxiety with the state form of the State-Trait Anxiety Inventory (STAI-S). RESULTS: At 24 hours postsurgery, adolescents reported greater pain, catastrophizing, and anxiety than adults. Ancillary analyses showed that helplessness and rumination were significant contributors to the differences in catastrophizing. Further, an analysis of covariance showed that controlling for the effects of catastrophizing, the adolescent and adult differences in pain scores were reduced to a null effect. CONCLUSIONS: After ACL surgery, athletic adolescents and adults differed significantly in pain, catastrophizing, and anxiety. Catastrophizing seemed to be a particularly strong factor in postoperative pain differences between adolescents and adults, with clinical-management implications. These data indicate the need for continued research into specific pain- and age-related factors during the acute postoperative period for athletes undergoing ACL surgery.
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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 | 0.000 | 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".