Correlation of platelet-related parameters and autoantibodies in patients with autoimmune bullous diseases
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: Autoimmune bullous diseases (AIBDs) are rare, tissue-specific autoimmune diseases of the skin, and corresponding autoantibodies have been proved to be pathogenic. Recently, we reported that variations in platelet-related parameters may reflect the fluctuations of circulating AIBD-correlated antibody titers during the disease progression of 1 patient with AIBD. The purpose of this article is to further investigate the possible correlation between autoantibody titers and platelet-related parameters in patients with AIBD. METHODS: This study collected data on autoantibody titers and platelet-related parameters from 136 patients with bullous pemphigoid positive for anti-BP180 antibodies, 54 patients with pemphigus foliaceus positive for anti-desmoglein (Dsg) 1 antibody, 55 patients with pemphigus vulgaris positive for both anti-Dsg1 and Dsg3 antibodies, and 16 patients with pemphigus vulgaris positive for anti-Dsg3 antibody alone. Two groups of healthy individuals served as controls. RESULTS: Comparative analyses revealed clinically significantly elevated platelet-related parameters, such as platelet count and thrombocytocrit, in the autoantibody-positive patient groups relative to control individuals. Correlation analyses demonstrated statistically significant positive associations between autoantibody titers and specific platelet-related parameters. DISCUSSION: These findings represent the first documented evidence of a positive correlation between autoantibody titers and platelet-related parameters in patients with AIBDs. The data implied that platelets may contribute to the disease pathophysiology and progression of AIBDs.
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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 | 0.001 |
| 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 | 0.001 |
| 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 it