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Record W2904513061 · doi:10.1111/bcp.13833

Ethics codes and use of new and innovative drugs

2018· review· en· W2904513061 on OpenAlex
Jan Borysowski, Hans‐Jörg Ehni, Andrzej Górski

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBritish Journal of Clinical Pharmacology · 2018
Typereview
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsnot available
Fundersnot available
KeywordsDeclarationEthical codeDeclaration of HelsinkiMedicineEngineering ethicsPaceAlternative medicinePolitical scienceInformed consentEngineeringLawGeography

Abstract

fetched live from OpenAlex

Treatment with new and/or innovative drugs with uncertain safety and efficacy profile is associated with substantial ethical concerns. The main objective of this paper is to present guidance on the use of such drugs contained in: (i) major international codes and guidelines pertaining to medical ethics and biomedical research; (ii) national codes of medical ethics and professional conduct of the USA, Canada, Australia, New Zealand, the UK, Ireland, France and Germany. Out of the four international codes and guidelines analysed, only the Declaration of Helsinki addresses the question of the use of unproven drugs. Among national codes, only two (USA and New Zealand) explicitly allow for use of new or innovative drugs. Moreover, treatment with unproven drugs seems to be permissible under the French code, though this is not stated explicitly. The remaining codes do not contain any articles on the use of new and innovative drugs. An update of existing articles, as well as the addition of new guidelines to the codes, should be considered in view of the rapid pace of development and introduction to clinical practice of new drugs. This work is relevant to innovative off-label applications of approved drugs and expanded access to investigational drugs.

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.

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)0.004
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, 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 score0.883
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.004
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 head0.512
GPT teacher head0.614
Teacher spread0.102 · 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