A study of Madrid sonographicenthesis score Index (MASEI) versus spondyloarthritis research consortium of Canada (SPARCC) in the assessment of early enthesopathy among psoriatic skin patient
Bibliographic record
Abstract
Abstract Objective To compare between Sonographic Madrid score index (MASEI) versus Spondyloarthritis research consortium of canada (SPARCC) for early assessment of enthesopathy among psoriatic skin patients. Patients and Methods This study included fifty psoriatic skin patients. All underwent history, laboratory investigation, clinical examination using SPARCC score, Psoriasis Area and Severity Index (PASI) and musculoskeletal ultrasound using MASEI score with power Doppler (PD) bilaterally for assessment of enthesitis. Results The mean age of fifty patients was 42.00 ± 10.923 years, disease duration of 11.110 ±7.402 and BMI of 29.356 ± 3.753. The mean PASI was 12.950±8.044. SPARCC score was positive in 10 out of 50 patients (20%).MASEI score was positive in 20 out of 50 patients (40%) with 10 out of 50 patients had power Doppler signals. Highly statistically significant difference between MASEI and SPARCC score( pvalue <0.001). Highly statistically significant positive correlation was observed between PASI score and MASEI(r = 0.498, p-value <0.001). Conclusion musculoskeletal ultrasound is useful for early detection of enthesitis and to be a sensitive tool in detecting of enthesitis and subclinical enthesitis that can be missed during routine clinical examination.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".