Bibliographic record
Abstract
Introduction: Pemphigus is a rare group of autoimmune disorders that cause blistering of the skin and mucous membranes. It affects various parts of the body, including the eyes, genitalia, mouth, nose, and throat. The most common type of pemphigus is known as pemphigus vulgaris. It is characterized by the loss of adhesion between keratinocytes, a condition called acantholysis. Case Report: A 52-year-old male patient was admitted to the hospital with complaints of dizziness and blisters on the skin, lips, and inner layer of the mouth. Initially, he experienced difficulty in swallowing solid foods, which progressed to difficulty in swallowing liquid foods. The patient was diagnosed with pemphigus vulgaris and was treated with Methotrexate as a first-line therapy. Conclusion: According to the guidelines provided by the British Association of Dermatologists (BAD), the first-line treatment for pemphigus vulgaris involves the use of corticosteroids, typically in the form of oral prednisolone. If treatment failure occurs, defined as the lack of disease control after 12 weeks, second-line treatments such as azathioprine, MMF, methotrexate, cyclosporine, dapsone, and cyclophosphamide may be initiated. It is crucial to select the appropriate drug therapy to prevent delays in the healing of blisters and ulcers. Although there is no permanent cure for pemphigus vulgaris, medications can help reduce the severity of symptoms. Therefore, the selection of drugs plays a significant role in treating the clinical condition.
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 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) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".