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Record W2036005566 · doi:10.1177/1078155213482602

High-dose methotrexate in adult oncology patients: A case-control study assessing the risk association between drug interactions and methotrexate toxicity

2013· article· en· W2036005566 on OpenAlexafffund
April Chan, Irina Rajakumar

Bibliographic record

VenueJournal of Oncology Pharmacy Practice · 2013
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsLondon Health Sciences Centre
FundersLondon Health Sciences Centre
KeywordsMedicineMethotrexateMucositisNephrotoxicityInternal medicineToxicityRegimenPharmacologyRenal functionGastroenterology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.030
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.226
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.037
GPT teacher head0.441
Teacher spread0.404 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations31
Published2013
Admission routes2
Has abstractyes

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