The McGill Pain Questionnaire in Patients with TMJ Pain and with Facial Pain as a Somatoform Disorder
Bibliographic record
Abstract
The purpose of this study was to assess the discriminative capacity of the McGill Pain Questionnaire (MPQ) in patients with temporomandibular joint disorders (TMD) or with facial pain disorder as somatoform disorder (referred to as "atypical facial pain") (FP). The MPQ was administered to 57 TMD and 34 FP patients. Weighted MPQ item scores, subscale Pain Rating Indexes (PRI), and total Pain Rating Index were tested for significant differences (Student's t-test), and the frequency of descriptor choice was also analyzed. Furthermore, the data were processed through two systems based on a counter-propagation neural network: the Self-Organizing Map (SOM) system and a cluster-like analysis. In the FP group eleven MPQ item scores and five PRI scores were significantly higher than those of the TMJ group. There was a considerable difference in descriptor choice between the groups. SOM analysis and cluster-like analysis correctly discriminated 85% or more of the patients. In conclusion, the MPQ showed a consistent discriminative capacity between TMD and FP patients.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".