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Biosimilar safety factors in clinical practice

2015· article· en· W1557591541 on OpenAlexaff
Walter Reinisch, Josef S Smolen

Bibliographic record

VenueSeminars in Arthritis and Rheumatism · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBiosimilarInterchangeabilityMedicinePharmacovigilanceComparabilityRisk analysis (engineering)InfliximabPharmacologyDrugImmunology

Abstract

fetched live from OpenAlex

OBJECTIVES: This article provides insight into the guidelines issued by the European Medicines Agency (EMA) and the draft guidances issued by the US Food and Drug Administration (FDA) regarding potential safety considerations associated with the development and use of biosimilars. METHODS: EMA and FDA guidelines and the literature were reviewed to identify recommendations and experience of manufacturers regarding the safety of biosimilars. RESULTS: Recent results of phase 3 comparability clinical trials comparing biosimilars with their reference products, and the approval of a biosimilar infliximab by several regulatory agencies, demonstrate the growing importance of biosimilars in inflammatory diseases. The safety profiles of biosimilars developed according to regulatory guidelines appear to be highly similar to the reference product, and postmarketing pharmacovigilance programs are in place. Additional topics related to biosimilars, such as interchangeability, automatic substitution, and nomenclature, are discussed. CONCLUSIONS: Safety considerations in the development of biosimilars are an important focus of regulatory guidelines, although topics such as interchangeability, automatic substitution, and nomenclature are still being debated.

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)0.074
metaresearch head score (Gemma)0.359
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.074
Threshold uncertainty score0.390

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0740.359
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.003
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0160.004

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 head0.036
GPT teacher head0.339
Teacher spread0.303 · 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 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

Citations49
Published2015
Admission routes1
Has abstractyes

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