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Record W2790992948 · doi:10.14740/gr934w

Comparative Effectiveness of Vedolizumab vs. Infliximab Induction Therapy in Ulcerative Colitis: Experience of a Real-World Cohort at a Tertiary Inflammatory Bowel Disease Center

2018· article· en· W2790992948 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGastroenterology Research · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineVedolizumabInfliximabUlcerative colitisInternal medicineInflammatory bowel diseaseGastroenterologyCohortSurgeryTumor necrosis factor alphaDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Vedolizumab (VDZ), an adhesion molecule inhibitor and infliximab (IFX), a tumor necrosis factor (TNF) blocker, are both approved as first-line induction agents in moderately to severely active ulcerative colitis (UC). However, there are no head-to-head studies comparing the relative effectiveness of the two agents. Here we provide a real-world comparison of these two agents. METHODS: We conducted an ambidirectional cohort study of adult UC patients seen at our tertiary inflammatory bowel disease (IBD) center from 2012 to 2017. Each patient had moderately to severely active UC via partial Mayo score and was induced with IFX or VDZ. They were followed until assessment of clinical response. Poisson regression was used to calculate clinical response rates and rate ratios. RESULTS: Of 59 patients who met inclusion criteria, 27 and 32 patients were induced with IFX and VDZ, respectively. Totally, 18/27 (66.7%) patients induced with IFX vs. 24/32 (78.1%) patients induced with VDZ were clinical responders. Response rates per 100 person-weeks (PW) were similar for VDZ (5.21) and IFX (5.38). The effectiveness in terms of induction of clinical response (incidence rate ratio, IRR) was not statistically significant for VDZ vs. IFX (IRR 0.97, 95% confidence interval (CI) 0.53 - 1.77). Among TNF blocker naive patients, IRR was also not statistically significant between VDZ (6.74/100 PW) and IFX (6.48/100 PW) (IRR 1.04, 95% CI 0.47 - 2.29). Among TNF blocker experienced patients, there was a higher response rate for VDZ (4.52) vs. IFX (2.29) per 100 PW, but the IRR did not reveal statistical significance (IRR 1.97, 95% CI 0.45 - 8.63) due to small sample size of TNF blocker experienced patients who received IFX. Five patients developed severe infection or adverse reaction during IFX induction requiring exclusion, whereas no VDZ patients were excluded for this reason. CONCLUSIONS: Our study revealed a higher proportion of patients who responded to VDZ vs. IFX; however when accounting for period between induction and assessment of clinical response, rates of clinical response were similar. A key difference between the two groups was the higher response rate in the VDZ group among TNF blocker experienced patients; however, a larger cohort is needed to further elaborate on this difference. VDZ held its own against IFX and this study strengthens its standing as a first-line agent among TNF blocker naive as well as TNF blocker experienced UC patients.

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 score0.069
Threshold uncertainty score0.968

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.024
GPT teacher head0.338
Teacher spread0.314 · 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