[Prevention and treatment of mucocutaneous adverse reactions associated with epidermal growth factor receptor inhibitors].
Bibliographic record
Abstract
The epidermal growth factor receptor (EGFR) signaling is aberrantly overexpressed in many solid malignancies, making it an important target for anti-cancer biologic agents. Among them, epidermal growth factor receptor inhibitors (EGFRIs), which have been widely used in clinical practice, include anti-EGFR monoclonal antibodies and tyrosine kinase inhibitors. A proportion of patients treated with EGFRIs develop specific, dose-dependent skin toxicity such as papulopustular rash, paronychia, xerosis and itch. These side effects can cause physical and psychosocial discomfort that may result in dose reduction, discontinuance, or replacement of the current EGFRIs treatment. Correct diagnosis and treatment of these skin and mucosal adverse effects associated with EGFRIs is of great significance for the tertiary prevention of malignant tumors. A review on EGFRI-related mucocutaneous adverse reactions is presented here, focusing on the pathogenesis, the various clinical manifestations, the strategies for prevention and treatment of these conditions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".