MétaCan
Menu
Back to cohort
Record W2789498468 · doi:10.1007/s40258-018-0371-0

Policy Options for Infliximab Biosimilars in Inflammatory Bowel Disease Given Emerging Evidence for Switching

2018· letter· en· W2789498468 on OpenAlexaff
Don Husereau, Brian G. Feagan, C Selya-Hammer

Bibliographic record

VenueApplied Health Economics and Health Policy · 2018
Typeletter
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsRobarts Clinical TrialsWestern UniversityUniversity of Ottawa
FundersJanssen Pharmaceuticals
KeywordsBiosimilarInfliximabInflammatory bowel diseaseMedicineIncentiveIntensive care medicinePaymentHealth economicsPublic economicsRisk analysis (engineering)DiseaseBusinessPublic healthEconomicsFinance

Abstract

fetched live from OpenAlex

Biosimilars are becoming increasingly available internationally as patents expire on the originator biologic drugs they are intended to copy. Although substitution policies seen with generic drugs are being considered as a means to reduce expenditures on biologics, some biosimilars pose particular challenges in that the act of substitution may eventually lead to increased rates of therapeutic failure. As evidence requirements from regulators do not directly address this challenge, switch trials of biosimilars have emerged that may provide further answers. Using infliximab in inflammatory bowel disease as an example, we critically examine emerging evidence from two key switch trials (NOR-SWITCH and NCT020968610) and discuss the clinical and economic implications of these and what policy options may be most reasonable for payers. Options include reimbursing biosimilars for only newly diagnosed patients, using product-listing agreements to manage uncertainty, or using tiered co-payments or other incentives to promote biosimilar use.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.064
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.096
GPT teacher head0.413
Teacher spread0.317 · 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
GenreCommentary

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

Citations9
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueApplied Health Economics and Health PolicySame topicBiosimilars and Bioanalytical MethodsFrench-language works237,207