Low Pain Catastrophization and Disability Predict Successful Outcome to Radiofrequency Neurotomy in Individuals with Chronic Whiplash
Bibliographic record
Abstract
OBJECTIVES: Physical and psychological symptoms of individuals with chronic whiplash-associated disorders (WAD) are modulated by successful treatment with cervical radiofrequency neurotomy (cRFN). However, not all individuals respond to cRFN, and it is unknown which clinical features predict successful response to cRFN. METHODS: This prospective cohort study investigated 53 individuals with chronic WAD (36 female, 17 male; mean age = 44.7 ± 10.9 (SD) years) who underwent cRFN. Predictor variables measured at baseline (prior to RFN) included self-reported pain (VAS), disability (NDI), post-traumatic stress symptoms (PDS), pain catastrophizing (PCS), and measures of sensory hypersensitivity (pressure and cold pain thresholds). The outcome measure was perceived Global Rating of Change (where scores ≥ 4 were classified as a successful response) 3 months post-cRFN. RESULTS: Univariate logistic regression demonstrated that lower levels of disability and pain catastrophizing were associated with successful response of cRFN (both P < 0.05). Multivariable logistic regression demonstrated that low levels of pain catastrophizing and disability remained significant predictors of a successful response to cRFN (both P < 0.05). CONCLUSIONS: Low levels of pain catastrophizing and disability independently predicted a successful response to cRFN in patients with chronic WAD.
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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 | 0.004 | 0.014 |
| 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 | 0.001 |
| 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".