MétaCan
Menu
Back to cohort
Record W3199660051 · doi:10.1177/10781552211034473

Defining cytotoxic drugs – you know it when you see it?

2021· review· en· W3199660051 on OpenAlexaff
Mário L de Lemos, Nadine Badry, James Conklin, Michelle Koberinski

Bibliographic record

VenueJournal of Oncology Pharmacy Practice · 2021
Typereview
Languageen
FieldHealth Professions
TopicSafe Handling of Antineoplastic Drugs
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsAntineoplastic DrugsMedicineConfusionCytotoxic T cellDrugCancer chemotherapyIntensive care medicinePharmacologyRisk analysis (engineering)ChemotherapySurgeryBiology

Abstract

fetched live from OpenAlex

Safe handling precautions are an important measure used to prevent occupational exposure to hazardous antineoplastic drugs. Historically, the terms 'antineoplastic', 'chemotherapy' and 'cytotoxic' are frequently conflated. However, many current antineoplastic drugs do not have cytotoxic mechanisms of actions, leading to confusion when developing safe handling policies. Based on the mechanistic criteria outlined in this review, we have compiled a list of the most commonly used antineoplastic drugs with their cytotoxic or non-cytotoxic designations. We propose that this list can be used when discussing drug-specific safe handling precaution measures.

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)0.014
metaresearch head score (Gemma)0.027
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.611
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.012
Insufficient payload (model declined to judge)0.0050.004

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 head0.157
GPT teacher head0.547
Teacher spread0.389 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreReview

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

Citations5
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Oncology Pharmacy PracticeSame topicSafe Handling of Antineoplastic DrugsFrench-language works237,207