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Record W2011880652 · doi:10.3111/13696998.2015.1044457

A cost utility analysis of simeprevir used with peginterferon + ribavirin in the management of genotype 1 hepatitis C virus infection, from the perspective of the UK National Health Service

2015· article· en· W2011880652 on OpenAlexaff
K.Y. Westerhout, M. Treur, Angelika Mehnert, Katie Pascoe, Imran Ladha, Jonathan Belsey

Bibliographic record

VenueJournal of Medical Economics · 2015
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsUniversity of Sudbury
Fundersnot available
KeywordsSimeprevirMedicineTelaprevirRibavirinBoceprevirInternal medicineHepatitis CAdverse effectSofosbuvirHepatitis C virusCost-effectiveness analysisCost effectivenessVirologyVirus

Abstract

fetched live from OpenAlex

INTRODUCTION: Triple therapy using a protease inhibitor (PI) with peginterferon and ribavirin (PR) is increasingly used in patients with chronic hepatitis C virus (HCV) infection. The most recently introduced PI, simeprevir (SMV), offers high levels of viral eradication combined with a reduced overall duration of therapy. The objective of this study was to compare the cost-effectiveness of SMV + PR vs PR alone or in combination with telaprevir (TVR) or boceprevir (BOC) in patients infected with genotype 1 HCV Method: A cost-utility model was constructed, incorporating two phases, capturing the efficacy of therapy in an initial treatment phase, followed by a long-term post-treatment Markov phase, capturing lifetime outcomes according to whether a sustained viral response (SVR) had been achieved on treatment. Dosage regimens were based on the EMA approved label for each treatment. SVR estimates and adverse event rates were derived from a mixed treatment comparison. Baseline characteristics were drawn from an analysis of a UK HCV data-set and clinician opinion. Health state transition probabilities, utilities, and health state costs were drawn from previously published economic analyses. The model considered direct health costs only, and the perspective was that of the UK National Health Service. RESULTS: The model yielded an ICER for SMV + PR vs PR alone of £9725/QALY for treatment-naïve and £7819/QALY for treatment-experienced. Benefit was driven by increased likelihood of achieving SVR, with consequent long-term utility gains. SMV + PR dominated TVR + PR and BOC + PR in both patient groups. This principally reflected the QALY benefit of an increased likelihood of SVR with SMV, combined with lower overall drug costs, due to reduced mean treatment duration. CONCLUSION: Compared to other currently licensed treatment options, SMV + PR represents a cost effective treatment option for patients with chronic genotype 1 HCV infection.

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)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.103
GPT teacher head0.383
Teacher spread0.281 · 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

Citations19
Published2015
Admission routes1
Has abstractyes

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