Bibliographic record
Abstract
Introduction: Pemphigus is a rare group of autoimmune diseases that promote development of various skin eruptions, the most commonly it presents with blisters. The several types of pemphigus are: pemphigus vulgaris, pemphigus foliaceus, intraepidermal neutrophillic IgA dermatosis and especially rare type- paraneoplastic pemphigus, which is main topic of this publication. Paraneoplastic pemphigus is a disease which affects patients with developing carcinogenesis process. Usually it is a malignant process, but there are also some cases which describe paraneoplastic pemphigus associated with benign tumors. Because of its occurence our current level of knowledge about different aspects of paraneoplastic pemphigus is not final and as comprehensive as researchers and patients wish. Aim of study: The main purpose of this publication is presentation a review of literature about paraneoplastic pemphigus- its epidemiology, physiopathology, pathomorfology, clinical features, and description of different types of benign or malignant processes which concomitence with paraneoplastic pemphigus. State of knowledge: Paraneoplastic pemphigus is a rare autoimmune disease, which aspects are not widely described, but there are some reports about epidemiology, pathophysiology, histopathology, treatment and associated confirmed malignancies. The challenge for future is to formulate clear, formal, treatment protocols for paraneoplastic pemphigus. Conclusion: Paraneoplastic pemphigus is a very fascinating disease for researchers because there are still very limited reports and statistics about this very rare disorder. Nonetheless year by year our level of knowledge about pathogenesis, clinical features, associated malignant and benign processes is growing and it can affect more personalized, effective treatment methods and protocoles.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".