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Record W4237966609 · doi:10.1093/jcag/gwz006.098

A99 COST-EFFECTIVENESS OF FIRST-LINE BIOLOGICS FOR THE MANAGEMENT OF MODERATE-TO-SEVERE ULCERATIVE COLITIS

2019· article· en· W4237966609 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldMedicine
TopicMicroscopic Colitis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsVedolizumabGolimumabMedicineInfliximabAdalimumabUlcerative colitisInternal medicineDisease

Abstract

fetched live from OpenAlex

Ulcerative colitis (UC) is a relapsing and remitting condition, characterized by inflammation and ulceration in the colon and rectum. Biologic therapies have shown to be effective in inducing and maintaining remission in patients with UC, however there is no general consensus regarding which biologics should be used as first-line therapy for patients with UC. In order to decide which biologics should be used, the cost of the drugs needs to be taken into consideration. Infliximab, adalimumab, vedolizumab and golimumab are commonly used biologics for UC, however it is unknown which biologic is more cost-effective as first-line therapy for patients with moderate-to-severe disease. The aim of our study was to compare the cost-effectiveness of the commonly used biologics (infliximab, adalimumab, vedolizumab, golimumab) for the management of moderate-to-severe ulcerative colitis. A Markov model was constructed to simulate the clinical disease course of UC patients after initiating each biologic. Drug costs were obtained from the Alberta Health Drug Benefit List, and the remaining costs were determined from the CIHI Patient Cost Estimator. Transition probabilities were obtained from a review of the literature, and loss of response and complication rates for infliximab, adalimumab, vedolizumab and golimumab were obtained from the ACT, ULTRA, GEMINI, and PURSUIT trials, respectively. Previously published utility values were used to assess patient’s quality of life in each disease state. Our main analysis used a time horizon of 1 year due to the lack of long-term data on these therapies. Probabilistic sensitivity analysis was performed to characterize uncertainty related to all input parameters. Infliximab costs $31,405 per patient and yields 0.53 quality-adjusted life years (QALYs) using a 1-year time horizon. Adalimumab costs $25,191 per patient and yields 0.50 QALYs. Vedolizumab costs $30,338 per patient and yields 0.46 QALYs. Lastly, Golimumab costs $27,086 per patient and yields 0.51 QALYs. At a willingness-to-pay (WTP) threshold of $50,000 per QALY, probabilistic sensitivity analysis revealed that infliximab, adalimumab, vedolizumab, and golimumab had a 43%, 32%, 11%, and 14% probability of being cost-effective, respectively. Infliximab and adalimumab have a greater probability of being cost-effective as first-line therapies for patients with ulcerative colitis compared to vedolizumab and golimumab. None

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.

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)0.001
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 score0.107
Threshold uncertainty score0.907

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.017
GPT teacher head0.273
Teacher spread0.256 · 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