MétaCan
Menu
Back to cohort
Record W3153813300 · doi:10.1053/j.gastro.2021.03.065

Challenges and Opportunities in IBD Clinical Trial Design

2021· article· en· W3153813300 on OpenAlexfundno aff
Marla C. Dubinsky, Rory Collins, María T. Abreu, Vipul Jairath, James D. Lewis, James O. Lindsay, Miriam Mérad, Siew C. Ng, Remo Panaccione, Julián Panés, Bruce E. Sands, Corey A. Siegal, Siddarth Singh, Séverine Vermeire, Vineet Ahuja, Matthieu Allez, Ashwin N. Ananthakrishnan, Willem A. Bemelman, Jonathan Braun, Jean‐Frédéric Colombel, Silvio Danese, Geert D’Haens, André D’Hoore, Axel Dignaß, Iris Dotan, M Gassul, Anne Griffiths, Jonas Halfvarson, Stephen Hanauer, Paulo Gustavo Kotze, Ioannis E. Κoutroubakis, Edward V. Loftus, Édouard Louis, Fernando Magro, Gerassimos J. Mantzaris, Jean‐Yves Mary, Dermot McGovern, Pia Munkholm, Colm O’Morain, Yves Panís, Laurent Peyrin‐Biroulet, Cosimo Prantera, Zhihua Ran, Britta Siegmund, Mark S. Silverberg, Eduard F. Stange, Stephan Targan, Curt Tysk, Simon Travis, M H Vatn, Yesus Yamamoto-Furusho, Janske Aarts, Brihad Abhyankar, Richard Aranda, Vipin Arora, Jalil Benjacoub, Sofie Berg, R. Besuyen, Daniela Bojic, Valerio Carriero, Fabio Cataldi, Laurence D’Agay, Sílvia Delgado-Aros, Paul J. Giannasca, Kavitha Goyal, Roland Greinwald, Savion Gropper, Shunsuke Kageyama, R Laoun, Barrett G. Levesque, Trevor Lissoos, Irene Modesto, Ralf Mohrbacher, Ralph Müeller, April N. Naegeli, Snehal Naik, D. Viet Nguyen, Wojciech Niezychowski, Caitriona O’Brien, Irina Odnoletkova, Alessandra Oortwijn, Kun K.T. Park, Waldemar Radziszewski, Leonardo Salese, Johannes Spleiss, Andrea Stancati, Amanda R. Tatro, Jennifer Thompson, Robert Hofmann, Javier Zambrano, Wen Zhou, Ellen Zigmont

Bibliographic record

VenueGastroenterology · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
FundersJanssen PharmaceuticalsNational Institute of Diabetes and Digestive and Kidney DiseasesCumming School of Medicine, University of CalgaryPerelman School of Medicine, University of PennsylvaniaUniversity of California, San DiegoHumanitas Research HospitalChinese University of Hong KongUniversity of OxfordCedars-Sinai Medical CenterBarts Health NHS TrustAll-India Institute of Medical SciencesKU LeuvenHarvard School of Dental MedicineUniversity of MiamiIcahn School of Medicine at Mount SinaiPfizerNorthwestern UniversityUniversitaire Ziekenhuizen Leuven, KU LeuvenDartmouth CollegeBristol-Myers SquibbBritish Heart FoundationTakeda Pharmaceutical CompanyAbbVieUniversity of PennsylvaniaRocheMayo ClinicBoehringer IngelheimAmgenTillotts PharmaAmsterdam University Medical CentersEA Pharma Co., Ltd.Gilead Sciences
KeywordsClinical trialMedicineScopusInflammatory bowel diseaseClinical study designFamily medicineAlternative medicineDiseaseMEDLINEInternal medicinePathologyPolitical science

Abstract

fetched live from OpenAlex

The International Organization for the Study of Inflammatory Bowel Disease held a single-day meeting focused on challenges and opportunities in trial design. The meeting included 95 registrants and consisted of 2 plenary presentations and 3 breakout sessions. The overall goals of the meeting were to identify challenges that must be met in the design of clinical studies of new and established therapies for inflammatory bowel disease (IBD).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.650
metaresearch head score (Gemma)0.850
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.650
Threshold uncertainty score0.431

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.6500.850
Meta-epidemiology (narrow)0.0010.003
Meta-epidemiology (broad)0.0090.004
Bibliometrics0.0060.005
Science and technology studies0.0060.013
Scholarly communication0.0270.014
Open science0.0100.011
Research integrity0.0140.021
Insufficient payload (model declined to judge)0.0360.012

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 head0.125
GPT teacher head0.324
Teacher spread0.199 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations32
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueGastroenterologySame topicInflammatory Bowel DiseaseFrench-language works237,207