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Record W2910770502 · doi:10.1136/ejhpharm-2018-001705

External contamination of commercial containers by antineoplastic agents: a literature review

2019· review· en· W2910770502 on OpenAlexaff
Delphine Hilliquin, Cynthia Tanguay, Jean‐François Bussières

Bibliographic record

VenueEuropean Journal of Hospital Pharmacy · 2019
Typereview
Languageen
FieldHealth Professions
TopicSafe Handling of Antineoplastic Drugs
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsContaminationAntineoplastic DrugsVialDrug packagingWaste managementToxicologyEnvironmental scienceMedicineChemistryPharmacologyEngineeringChromatography

Abstract

fetched live from OpenAlex

The aim of this study was to review the literature regarding the external contamination of commercial vials by antineoplastic drugs. A PubMed and CINAHL searches from 1 January 1990 to 1 May 2018 was performed with the terms: « antineoplastic agents », « environmental monitoring », « drug packaging », « vials » and « contamination ». Articles that presented results on the external contamination of commercial vials were included. Twenty-four articles were identified from 11 countries. A total of 4248 vials were sampled from 28 manufacturers. Traces were found on 56% (2379/4248) of vials. A maximum of 150 000 ng was measured on a glass vial of fluorouracil. This literature review showed that the exterior of the majority of commercial antineoplastic vials was contaminated. Manufacturers should limit this contamination. Centres are also encouraged to clean the vials on receipt. Personal protection equipment should be worn at all steps of the drug-use process.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0130.011
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.070
GPT teacher head0.441
Teacher spread0.372 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
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

Citations17
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal of Hospital PharmacySame topicSafe Handling of Antineoplastic DrugsFrench-language works237,207