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Record W3206229337 · doi:10.1093/ecco-jcc/jjab177

ECCO Guidelines on Therapeutics in Ulcerative Colitis: Surgical Treatment

2021· article· en· W3206229337 on OpenAlexaff
Antonino Spinelli, Stefanos Bonovas, Johan Burisch, Torsten Kucharzik, Michel Adamina, Vito Annese, Oliver Bachmann, Dominik Bettenworth, María Chaparro, Wladyslawa Czuber‐Dochan, Piotr Eder, Pierre Ellul, Catarina Fidalgo, Gionata Fiorino, Paolo Gionchetti, Javier P. Gisbert, Hannah Gordon, Charlotte Hedin, Stefan D. Holubar, Marietta Iacucci, Konstantinos Κarmiris, Κωνσταντίνος Κατσάνος, Uri Kopylov, Péter L. Lakatos, Theodore Lytras, Ivan Lyutakov, Nurulamin M Noor, Gianluca Pellino, Daniele Piovani, Edoardo Savarino, Francesco Selvaggi, Bram Verstockt, Glen Doherty, Tim Raine, Yves Panís

Bibliographic record

VenueJournal of Crohn s and Colitis · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsMcGill University Health Centre
FundersNational Institute for Health and Care ResearchEuropean Crohn's and Colitis Organisation
KeywordsMedicineUlcerative colitisMedical therapyIntensive care medicineRefractory (planetary science)VedolizumabColitisGeneral surgerySurgeryInternal medicineDisease

Abstract

fetched live from OpenAlex

This is the second of a series of two articles reporting the European Crohn's and Colitis Organisation [ECCO] evidence-based consensus on the management of adult patients with ulcerative colitis [UC]. The first article is focused on medical management, and the present article addresses medical treatment of acute severe ulcerative colitis [ASUC] and surgical management of medically refractory UC patients, including preoperative optimisation, surgical strategies, and technical issues. The article provides advice for a variety of common clinical and surgical conditions. Together, the articles represent an update of the evidence-based recommendations of the ECCO for UC.

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)0.007
metaresearch head score (Gemma)0.019
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: Other · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0050.004
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0030.003
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0070.005

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 head0.306
Teacher spread0.283 · 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
GenreOther

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

Citations528
Published2021
Admission routes1
Has abstractyes

Explore more

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