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Record W2418122615

The comparability conundrum: biosimilars in the United States, Europe and Canada.

2011· article· en· W2418122615 on OpenAlexaboutno aff
Noel Courage, Ainslie B. Parsons

Bibliographic record

VenuePubMed · 2011
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsnot available
Fundersnot available
KeywordsBiosimilarComparabilityDiscretionMember statesBusinessPharmacovigilanceMember stateMedicineEuropean unionPharmacologyPublic economicsDrugInternational tradePolitical scienceLawEconomics
DOInot available

Abstract

fetched live from OpenAlex

A biosimilar contains an active ingredient that is similar, but not identical, to the active ingredient in an approved reference drug. This raises the issue of when and how a biosimilar should be allowed to compare to a reference drug for marketing approval. This paper looks at the current regulation of biosimilars in Europe, the United States and Canada. The response to the challenge of regulating biosimilars has been varied. For example, Europe implemented a specialized, abbreviated legal pathway about five years before the United States. In Canada, abbreviated approval by comparison to an approved reference biologic was already available under the existing regulatory framework. Regulators have significant discretion to set criteria establishing when a biosimilar is deemed comparable to a reference biologic. The comparability standards for review of the one biosimilar approved in all three jurisdictions (Omnitrope, a human growth hormone) were largely consistent. Omnitrope may be instructive as to the potential standard of review for future single chain protein biosimilars. In contrast, the United States approved a second-entry low molecular weight heparin with no clinical trials, whereas European guidelines state that clinical trial data will be required.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.889

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.052
GPT teacher head0.234
Teacher spread0.182 · 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.

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

Citations6
Published2011
Admission routes1
Has abstractyes

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