Clinically Meaningful Scores on Pain Catastrophizing Before and After Multidisciplinary Rehabilitation
Bibliographic record
Abstract
OBJECTIVES: Pain catastrophizing has emerged as a significant risk factor for problematic recovery after musculoskeletal injury. As such, there has been an increased focus on interventions that target patients' levels of catastrophizing. However, it is not presently clear how clinicians might best interpret scores on catastrophizing before and after treatment. Thus, the purpose of this study was to provide preliminary guidelines for the clinical interpretation of scores on pain catastrophizing among individuals with subacute pain after musculoskeletal injury. METHODS: A sample of 166 occupationally disabled individuals with subacute pain due to a whiplash injury participated in this study. Participants completed a 7-week standardized multidisciplinary rehabilitation program aimed at fostering functional recovery. Participants completed the Pain Catastrophizing Scale (PCS) upon program commencement and completion. One year later, participants indicated their pain severity and involvement in employment activities. Separate receiver operating characteristic curve analyses were conducted to determine absolute pretreatment and posttreatment and percent change scores on the PCS that were best associated with clinically important levels of pain and employment status at the follow-up. RESULTS: An absolute pretreatment PCS score of 24 best identified patients according to follow-up clinical outcomes. Posttreatment PCS scores of 14 and 15 best identified patients with high follow-up pain intensity ratings and those who did not return to work, respectively. PCS reductions of approximately 38% to 44% were best associated with return to work and low pain intensity ratings at follow-up. DISCUSSION: The results indicate scores on catastrophizing before and after treatment that are clinically meaningful. These results may serve as preliminary guidelines to assess the clinical significance of interventions targeting pain catastrophizing in patients with subacute pain after musculoskeletal injury.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".