Anti tumor Necrosis Factor ‐ Alpha Adalimumab for Complex Regional Pain Syndrome Type 1 (CRPS‐I): A Case Series
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Bibliographic record
Abstract
BACKGROUND AND AIMS: Evidence suggests tumor necrosis factor-alpha (TNF-α) mediates, at least in part, symptoms and signs in complex regional pain syndrome (CRPS). Here, we present a case series of patients with CRPS type 1, in whom the response to the anti-TNF-α adalimumab was assessed. METHODS: Ten patients with CRPS type 1 were recruited. Assessments were performed before treatment, at 1 week, and 1, 3, and 6 months following 3 biweekly subcutaneous injections (40 mg/0.8 mL) adalimumab (Humira(®) ) and included the followings: Pain intensity using a 0-10 cm visual analog scale; the Short Form of the McGill Pain Questionnaire; the Beck Depression Inventory; the SF-36 questionnaire and mechanical and thermal thresholds (Von frey hair and Thermal Sensory Analyzer, respectively). In addition to the description of individual patient responses, both intention to treat (ITT) and per-protocol (PP) analyses were performed for the entire group. RESULTS: Three subgroups of patients were identified (3 patients in each): "nonresponders", "partial responders", and "robust responders" in whom improvement in almost all parameters was noted. Both the ITT and PP analyses demonstrated only a trend toward improvement in mechanical pain thresholds following treatment (ITT χ² = 13.83, P = 0.008; PP χ² = 10.29, P = 0.036). CONCLUSION: These results suggest adalimumab, and possibly other anti-TNF-α, can be potentially useful in some (although not in all) patients with CRPS type 1. These preliminary results along with the growing body of evidence which points to the involvement of TNF-α in the pathogenesis of CRPS justify further studies in this area.
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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 | 0.002 | 0.004 |
| 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) | 0.001 | 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 it