High-dose methotrexate in adult oncology patients: A case-control study assessing the risk association between drug interactions and methotrexate toxicity
Bibliographic record
Abstract
INTRODUCTION: High-dose methotrexate, defined as dose ≥1 g/m(2), is commonly used in chemotherapy protocols. Certain drugs such as acyclovir, allopurinol, proton pump inhibitors and some antibiotics have been associated with delayed renal clearance of methotrexate and may predispose patients to toxicities. Currently, no specific recommendations exist on adjusting the high-dose methotrexate regimen in the presence of potential interacting drugs. This study aims to determine whether presence of interacting drugs is associated with delayed methotrexate clearance. METHODS: This was a case-control study of adult oncology patients who received their first cycle of high-dose methotrexate. Cases were defined as patients who experienced delayed methotrexate clearance, as indicated by serum methotrexate level ≥ 0.1 umol/L at 72 h. The primary endpoint was the frequency of presence of interacting drugs between cases and controls. These were compared using Fisher's exact test. Where possible, adjustment for significant baseline differences that can affect methotrexate clearance was made using logistic regression. The secondary endpoint was frequency of methotrexate-related clinical toxicities between groups and included myelosuppression, nephrotoxicity, hepatotoxicity and mucositis. RESULTS: From January 2004 to March 2011, 73 patients met study criteria, of which 23 were defined as cases. Significant baseline differences were methotrexate dose received (9116 mg ± 4339 versus 6054 mg ± 2874, p=0.012) and renal impairment (5 versus 0, p = 0.002). The presence of interacting drugs was not associated with delayed methotrexate clearance (OR 0.91, 95% CI 0.24-3.38, p > 0.999). After adjusting for methotrexate dose, drugs observed more frequently (allopurinol, proton pump inhibitors and sulfamethoxazole/trimethoprim) were not associated with delayed methotrexate clearance (p = 0.95, 0.59 and 0.20, respectively). Cases experienced more severe anemia (grade 2.52 versus 1.68, p = 0.007) and higher rates of mucositis (65.2% versus 20.0%, p < 0.001). CONCLUSION: This study showed no significant association between presence of interacting drugs and delayed methotrexate clearance. Patients who experienced delayed methotrexate clearance had higher incidence of severe anemia and mucositis.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".