Bibliographic record
Abstract
The treatment of patients with atopic dermatitis poses significant challenges for physicians due to the complexity of the disease's immunopathogenesis, its chronic nature, persistent itching, and the unpredictability of individual disease progression. Additionally, the issue of insufficient patient adherence to prescribed treatment further complicates the therapeutic process. This article presents an expanded overview of the effectiveness of the main systemic immunosuppressive agents currently used to treat patients with moderate atopic dermatitis. The medications discussed include cyclosporine A, methotrexate, azathioprine, and phototherapy, which is frequently employed in clinical practice. Attention is given to their clinical efficacy, dose-dependent effectiveness, as well as the influence of the patient's phototype on treatment outcomes and potential side effects. The article also explores the prospects for enhancing clinical effectiveness and reducing the risk of adverse events through the combined use of various immunosuppressive agents, including phototherapy. This approach not only has the potential to improve treatment outcomes but also to expand the therapeutic options available to physicians, allowing for more effective management of disease manifestations and improved quality of life for patients. In conclusion, the importance of an individualized approach to each patient is emphasized, as it may contribute to more successful symptom control, a reduction in the frequency of exacerbations, and an overall increase in patient satisfaction with the therapy provided.
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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".