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Record W2595991451 · doi:10.1177/1078155217698846

Safe handling of monoclonal antibodies: Too large to be hazardous?

2017· review· en· W2595991451 on OpenAlexaff
Mário L de Lemos, Nadine Badry, Victoria Kletas, Joan Fabbro, Amber Tew

Bibliographic record

VenueJournal of Oncology Pharmacy Practice · 2017
Typereview
Languageen
FieldHealth Professions
TopicSafe Handling of Antineoplastic Drugs
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsMonoclonal antibodyMedicineHazardous wasteOccupational exposureDrugMonoclonalImmunologyAntibodyPharmacologyEnvironmental healthWaste management

Abstract

fetched live from OpenAlex

It has been argued that the larger molecular weight of hazardous monoclonal antibodies may prevent their dermal absorption via occupational exposure. However, this assertion does not seem to be supported by direct evidence. Although the larger molecular weight may render monoclonal antibodies less probable to achieve therapeutic systemic level through dermal absorption, the concern in occupational health is whether these drugs can possibly attain a detectable level through repeated dermal exposure. Currently, there is no direct evidence to support a particular molecular weight above which a drug cannot achieve a detectable level following repeated occupational exposure. Therefore, the precautionary principle would dictate that repeated exposure of healthcare workers to hazardous monoclonal antibodies should be kept to a minimum.

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)0.012
metaresearch head score (Gemma)0.030
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.815
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.030
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0010.001

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 head0.441
GPT teacher head0.641
Teacher spread0.201 · 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 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

Citations7
Published2017
Admission routes1
Has abstractyes

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