Correlation Between Subjective and Objective Severity of Oral and Ocular Dryness in Primary Sjögren Syndrome
Bibliographic record
Abstract
OBJECTIVE: Sjögren syndrome (SS) is a common autoimmune disease primarily affecting the eyes and mouth. With no single gold standard test for its diagnosis, accurate identification of patients with SS continues to be challenging. We aimed to assess the correlation of ocular and oral symptoms of dryness with objective measures in order to evaluate reliability in the screening of primary SS (pSS) in clinical practice. METHODS: We conducted a cross-sectional analysis of pre-screened pSS and sicca control patients assessed in the Multidisciplinary Sjögren's Clinic at the University Health Network in Toronto. The signs, symptoms, and objective measure of oral and ocular dryness and damage of each patient were prospectively recorded using a standardized protocol. RESULTS: Subjective measures of severity for xerophthalmia and xerostomia correlated in general with objective severity. Oral symptoms tend to have a stronger correlation with objective findings than ocular symptoms. Many patients with few or insignificant eye symptoms had profound ocular dryness and damage. Similarly, some patients with few or no symptoms of oral dryness had profound objective salivary hypofunction. The absence of symptoms does not rule out profound eye and mouth dryness or damage. CONCLUSION: Although objective measures of xerostomia may not be practical for general population screening, it is crucial that practicing specialists perform objective testing of all patients suspected of pSS, instead of relying on symptoms. Without objective testing, the physician cannot ensure the diagnosis of pSS and that the existence of significant damage is not overlooked and left untreated.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".