Pharmacovigilance Evaluation of Bendamustine-related Skin Disorders using the Japanese Adverse Drug Event Report Database
Bibliographic record
Abstract
PURPOSE: Bendamustine is used in hematologic malignancies such as non-Hodgkin lymphoma, chronic lymphocytic leukemia, and multiple myeloma. This study evaluated the association of bendamustine-related skin disorders using the Japanese Adverse Drug Event Report (JADER) database. METHODS: We identified and analyzed reports of skin disorders between April 2004 and November 2019 from the JADER database and calculated the reported odds ratios (RORs) using disproportionality analysis. Additionally, we analyzed the relationship between skin disorders related to bendamustine use and patient information (age and sex). RESULTS: The symptoms, ranked in order of decreasing strength of association with skin disorders, were infusion-related reaction (ROR=5.708), herpes zoster (ROR=4.658), hypersensitivity (ROR=3.271), and rash (ROR=1.472). Additionally, analysis of the relationships between rash related to bendamustine and sex or age showed significant relationships for female sex and age younger than 70 years (ROR=2.247 and 2.176, respectively). Meanwhile, analysis of the relationship between herpes zoster and sex showed a significantly stronger association for male than female sex (ROR=2.887). CONCLUSION: Our analysis of skin disorders related to bendamustine use reported in the spontaneous reporting system databases showed that the association of rash with bendamustine use was affected by sex (female) and age (younger than 70 years). Additionally, the association of herpes zoster with bendamustine was affected by sex (male). Bendamustine is an outpatient chemotherapy regimen, and so we recommend close monitoring of female patients or those younger than 70 years who experience rash-like symptoms and male patients who experience herpes zoster-like symptoms.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".