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Record W2312759778 · doi:10.1177/1756283x16635081

The role of vedolizumab in patients with moderate-to-severe Crohn’s disease and ulcerative colitis

2016· review· en· W2312759778 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.

Bibliographic record

VenueTherapeutic Advances in Gastroenterology · 2016
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of CalgaryUniversity of British Columbia
Fundersnot available
KeywordsVedolizumabMedicineUlcerative colitisCrohn's diseaseInternal medicineInflammatory bowel diseaseGastroenterologyDiseaseClinical trial

Abstract

fetched live from OpenAlex

Vedolizumab, an α4β7-integrin antagonist, is the first gut-selective monoclonal antibody that has been approved for the treatment of moderate-to-severe ulcerative colitis and Crohn's disease in many countries in the world. However, questions still remain regarding its appropriate use and placement in current treatment algorithms. Therefore, we sought out to evaluate the existing literature on the use of vedolizumab in inflammatory bowel disease. From inception to 21 June 2015 we searched MEDLINE for phase III randomized control trials assessing the utility of vedolizumab in inflammatory bowel disease, of which three were identified. The GEMINI trials demonstrate that vedolizumab is an effective and safe treatment for patients suffering from moderate-to-severe ulcerative colitis (GEMINI I) and Crohn's disease (GEMINI II and III). However, further studies are needed comparing its efficacy directly with anti-tumor necrosis factor therapies to allow for further delineation of current treatment algorithms as well as ensuring its long-term safety profile.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.916
Threshold uncertainty score0.904

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.006
GPT teacher head0.258
Teacher spread0.252 · 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