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Record W4412780968 · doi:10.1093/ecco-jcc/jjaf106

ECCO-ESGAR-ESP-IBUS Guideline on Diagnostics and Monitoring of Patients with Inflammatory Bowel Disease: Part 1

2025· article· en· W4412780968 on OpenAlexaff
Torsten Kucharzik, Stuart A. Taylor, Mariangela Allocca, Johan Burisch, Pierre Ellul, Marietta Iacucci, Christian Maaser, Paméla Baldin, Gauraang Bhatnagar, Shomron Ben‐Horin, Dominik Bettenworth, Mallory Chavannes, Ann Driessen, Emma Flanagan, Federica Furfaro, Giovanni Maconi, Konstantinos Κarmiris, Amelia Kellar, Isabelle De Kock, Uri Kopylov, Cathy Lu, Olga Maria Nardone, Nurulamin M Noor, Kerri L. Novak, Paula Borralho, Patrick van Rheenen, Jordi Rimola, Francesca Rosini, David T. Rubin, Martina Scharitzer, Jaap Stoker, Mathieu Uzzan, Stephan R. Vavricka, Bram Verstockt, Rune Wilkens, Nina Zidar, Henit Yanai, Roger M. Feakins

Bibliographic record

VenueJournal of Crohn s and Colitis · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineGuidelineInflammatory bowel diseaseInflammatory Bowel DiseasesIntensive care medicineDiseaseInternal medicinePathology

Abstract

fetched live from OpenAlex

The current consensus guideline offers a comprehensive and practical guidance on the diagnostic and monitoring of patients with inflammatory bowel disease (IBD). It provides recommendations on requirements for initial diagnosis, detection of complications, the use of monitoring tools in patients with IBD and diagnostics in specific situations, such as pregnancy, postoperatively and for cancer surveillance. The guideline is a joint project of the European Crohn's and Colitis Organization (ECCO), the European Society of Gastrointestinal and Abdominal Radiology, the European Society of Pathology, and the International Bowel Ultrasonography Group under the leadership of ECCO.

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0080.008

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 head0.004
GPT teacher head0.231
Teacher spread0.226 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations76
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Crohn s and ColitisSame topicInflammatory Bowel DiseaseFrench-language works237,207