Montreal cognitive assessment in primary sjogren’s syndrome
Bibliographic record
Abstract
OBJECTIVE: To use the Montreal Cognitive Assessment (MoCA) test to assess the subclinical cognitive impairment in patients with Primary Sjogren`s Syndrome (PSS) and assess the correlation of MoCA results with magnetic resonance imaging (MRI) findings in these patients. METHODS: The MoCA test was prospectively administered to 32 consecutive patients (31 females, 1 male) diagnosed with PSS and 30 healthy controls (29 females, 1 male) at Antalya Education and Research Hospital between June 2014 and October 2015. Twenty PSS patients underwent a brain MRI (T1, T2, and T2- FLAIR-weighted sequences). RESULTS: The mean age was 45.84 (range 24-63) in the PSS group, and the mean duration of disease was 3.5 years (4 months - 18 years). There were 22 patients (68.80%) with 5-8 years of education and 10 patients (31.30%) with more than 8 years of education. The mean age was 42.8 (28-64) in the control group. There were 20 controls (66.70%) with 5-8 years of education and 10 controls (33.3%) with more than 8 years of education. The delayed recall rate of the patient group with 5-8 years of education was significantly lower than that of the control group, and the recall rate with multiple choice cues for the same patient group was significantly higher than that of the control group (p less than 0.05). There was no correlation between the number of lesions and total MoCA score or subgroups. CONCLUSION: We suggest that the MoCA test is a single-page, easy-to-administer test, can be used to assess cognition in patients with PSS especially in large groups.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.001 | 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 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".