Evidence map›Paper›PMID 31372948›Full record

ArticlePharmacoEconomics2019

Value Assessment and Quantitative Benefit-Risk Modelling of Biosimilar Infliximab for Crohn's Disease.

Heather Catt, Keith Bodger, Jamie J Kirkham, Dyfrig A Hughes

Abstract read
PubMed Publisher
In one paragraph

Article in PharmacoEconomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Heather CattMRC North West Hub for Trials Methodology Research, Department of Biostatistics, University of Liverpool, Liverpool, UK.ORCID 0000-0001-9515-7497
Keith BodgerMRC North West Hub for Trials Methodology Research, Department of Biostatistics, University of Liverpool, Liverpool, UK.ORCID 0000-0002-1825-3239
Jamie J KirkhamMRC North West Hub for Trials Methodology Research, Department of Biostatistics, University of Liverpool, Liverpool, UK.ORCID 0000-0003-2579-9325
Dyfrig A HughesCentre for Health Economics and Medicines Evaluation, Bangor University, Ardudwy, Holyhead Road, Bangor, LL57 2PZ, UK. d.a.hughes@bangor.ac.uk.ORCID 0000-0001-8247-7459
University of Liverpool · GBBangor University · GB

Funding

Medical Research Council G0800792Medical Research Council MR/K025635/1Medical Research Council MR/L004933/1Medical Research Council MR/L004933/2Medical Research Council MR/L004933/2- Q28
6 · The paper itself

Abstract

BACKGROUND AND

objectiveRegulatory approval of biosimilars often depends on extrapolating evidence from one clinical indication to all of those of the originator biologic. We aimed to develop a quantitative benefit-risk analysis to assess whether the resulting increase in the uncertainty in the clinical performance of biosimilars (i.e. risk) may be countered by their lower pricing (benefit).

methodsA 1-year decision-analytic model was developed for the biosimilar infliximab (Inflectra

resultsThe base-case analysis predicted a positive incremental net health benefit of 0.04 (95% central range 0.00-0.09) favouring the biosimilar, based on 0.803 quality-adjusted life-years, and costs of £18,087 and £19,176 for the biosimilar and originator, respectively. Two-way sensitivity analyses suggested that if 50% of patients developed antibodies, the value-based price of £410 per vial must be lower than that of the originator (£420), but remain higher than the actual market price (£378).

conclusionsThe model supports the use of Inflecta

Indexed as

Models, EconomicBiosimilar PharmaceuticalsCohort StudiesCost-Benefit AnalysisCrohn DiseaseDecision TreesGastrointestinal AgentsHumansInfliximabMonte Carlo MethodQuality-Adjusted Life YearsRisk AssessmentBiosimilar PharmaceuticalsGastrointestinal AgentsInfliximab

Identifiers

PMID31372948
OpenAlexW2963602112

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.