Nonarticular Tenderness and Functional Status in Patients with Diffuse Idiopathic Skeletal Hyperostosis
Bibliographic record
Abstract
OBJECTIVE: To investigate the degree of nonarticular tenderness and functional status in patients with diffuse idiopathic skeletal hyperostosis (DISH). We assessed these variables' correlation with their clinical, radiographic, and constitutional measurements and with metabolic syndrome (MS). METHODS: Eighty-seven patients with DISH were compared with 65 controls without DISH. Examination of nonarticular tenderness was performed by thumb palpation. Tenderness was scored for the 18 fibromyalgia tender points (TP), and 4 control points. Nonarticular tenderness was expressed by the number of TP and by the total tenderness score (TTS). The Short Health Assessment Questionnaire (HAQ II) was administered to all participants. Clinical and laboratory data were collected from all patients. Patients were classified as having MS by both the National Cholesterol Education Program and World Health Organization definitions. RESULTS: There was a statistically significant difference in TTS between controls and patients with DISH. The mean tenderness of many individual TP was significantly higher in the DISH group compared with the control group. TP counts, TTS, and body mass index (BMI) positively correlated with the HAQ II. There was a linear trend in intensity of T-spine bony bridges (BB) and the total number of TP as well as many individual TP. Patients with DISH were more likely to be affected by MS. No correlation was found between TP count, TTS, and MS. CONCLUSION: Patients with DISH have a lower pain threshold than patients who do not have DISH. TP count and TTS correlate with the functional status, BMI, waist circumference, and high-grade BB. No correlation was observed between pain threshold and MS.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".