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Record W2890610444 · doi:10.1188/18.cjon.s1.5-12

Biosimilars: Exploring the History, Science, and Progress

2018· review· en· W2890610444 on OpenAlexaboutno aff
Joseph D Tariman

Bibliographic record

VenueClinical journal of oncology nursing · 2018
Typereview
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsnot available
Fundersnot available
KeywordsBiosimilarMedicineTolerabilityImmunogenicityClinical trialHealth careIntensive care medicineAdverse effectPharmacologyEconomic growthImmunologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Biosimilars provide opportunities for improving healthcare access and outcomes and reducing overall healthcare costs for patients with cancer. OBJECTIVES: The purpose of this article is to explore the history of biosimilars, regulatory pathways, and barriers to biosimilar approval. This article also aims to describe the patient and clinician barriers to biosimilars use and the progress that has been achieved since the first biosimilar approval in Europe in 2006 and in the United States in 2015. METHODS: A literature search was conducted to retrieve articles that are highly relevant to the history of biosimilars development and regulatory pathways in the United States, Europe, Asia, and Canada. Patient and clinician perspectives on safety issues and concerns regarding immunogenicity and bioequivalence that limit use of biosimilars are also included. FINDINGS: Patient and provider concerns regarding immunologic patient safety issues, such as immunogenicity, lack of comparability, and low biosimilarity, still exist. The clinical safety, efficacy, and tolerability of biosimilars are among the top concerns in patients, prescribers, and clinicians.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, 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 score0.933
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.019
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.395
GPT teacher head0.518
Teacher spread0.123 · 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

Citations8
Published2018
Admission routes1
Has abstractyes

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