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Record W2949937340 · doi:10.1136/gutjnl-2019-318440

Introduction of anti-TNF therapy has not yielded expected declines in hospitalisation and intestinal resection rates in inflammatory bowel diseases: a population-based interrupted time series study

2019· article· en· W2949937340 on OpenAlexafffundabout
Sanjay K. Murthy, Jahanara Begum, Eric I. Benchimol, Çharles N. Bernstein, Gilaad G. Kaplan, Jeffrey D. McCurdy, Harminder Singh, Laura E. Targownik, Monica Taljaard

Bibliographic record

VenueGut · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsFoothills Medical CentreOttawa HospitalUniversity of ManitobaHealth Sciences CentreUniversity of CalgaryChildren's Hospital of Eastern OntarioUniversity of Ottawa
FundersInstitute of Nutrition, Metabolism and DiabetesAbbVie CanadaOntario Ministry of Health and Long-Term CareUniversity of OttawaPfizer CanadaJanssen CanadaCanadian Institutes of Health ResearchTakeda CanadaMerck CanadaPfizer
KeywordsInfliximabMedicineUlcerative colitisInflammatory bowel diseaseInterrupted time seriesPopulationInternal medicineCrohn's diseaseLogistic regressionSurgeryDiseaseEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVES: To better understand the real-world impact of biologic therapy in persons with Crohn's disease (CD) and ulcerative colitis (UC), we evaluated the effect of marketplace introduction of infliximab on the population rates of hospitalisations and surgeries and public payer drug costs. DESIGN: We used health administrative data to study adult persons with CD and UC living in Ontario, Canada between 1995 and 2012. We used an interrupted time series design with segmented regression analysis to evaluate the impact of infliximab introduction on the rates of IBD-related hospitalisations, intestinal resections and public payer drug costs over 10 years among patients with CD and 5 years among patients with UC, allowing for a 1-year transition. RESULTS: Relative to what would have been expected in the absence of infliximab, marketplace introduction of infliximab did not produce significant declines in the rates of CD-related hospitalisations (OR at the last observation quarter 1.06, 95% CI 0.811 to 1.39) or intestinal resections (OR 1.10, 95% CI 0.810 to 1.50), or in the rates of UC-related hospitalisations (OR 1.22, 95% CI 1.07 to 1.39) or colectomies (OR 0.933, 95% CI 0.54 to 1.61). The findings were similar among infliximab users, except that hospitalisation rates declined substantially among UC patients following marketplace introduction of infliximab (OR 0.515, 95% CI 0.342 to 0.777). There was a threefold rise over expected trends in public payer drug cost among patients with CD following infliximab introduction (OR 2.98,95% CI 2.29 to 3.86), suggesting robust market penetration in this group, but no significant change among patients with UC (OR 1.06, 95% CI 0.955 to 1.18). CONCLUSIONS: Marketplace introduction of infliximab has not yielded anticipated reductions in the population rates of IBD-related hospitalisations or intestinal resections, despite robust market penetration among patients with CD. Misguided use of infliximab in CD patients and underuse of infliximab in UC patients may largely explain our study findings.

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)0.000
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 score0.139
Threshold uncertainty score0.632

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.009
GPT teacher head0.247
Teacher spread0.238 · 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

Citations215
Published2019
Admission routes3
Has abstractyes

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