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Record W4288051489 · doi:10.1093/ecco-jcc/jjac100

Endoscopic Postoperative Recurrence in Crohn’s Disease After Curative Ileocecal Resection with Early Prophylaxis by Anti-TNF, Vedolizumab or Ustekinumab: A Real-World Multicentre European Study

2022· article· en· W4288051489 on OpenAlexaff
Henit Yanai, A Kagramanova, O. V. Knyazev, João Sabino, Shana Haenen, Gerassimos J. Mantzaris, Katerina Mountaki, Alessandro Armuzzi, Daniela Pugliese, Federica Furfaro, Gionata Fiorino, David Drobne, Tina Kurent, Sharif Yassin, Nitsan Maharshak, Fabiana Castiglione, Roberto de Sire, Olga Maria Nardone, Klaudia Farkas, Tamás Resál, Željko Krznarić, Marko Brinar, E. Yu. Chashkova, Moran Livne Margolin, Uri Kopylov, Cristina Bezzio, Ariella Bar‐Gil Shitrit, Milan Lukáš, María Chaparro, Marie Truyens, Stéphane Nancey, Triana Lobatón, Javier P. Gisbert, Simone Saibeni, Péter Bacsúr, Peter Bossuyt, Julien D. Schulberg, Frank Hoentjen, Chiara Viganò, Andrea Palermo, Joana Torres, Joana Revés, Konstantinos Κarmiris, Magdalini Velegraki, Edoardo Savarino, Panagiotis Markopoulos, Eftychia Tsironi, Pierre Ellul, Cristina Suárez, Roni Weisshof, Dana Ben-Hur, Timna Naftali, Carl Eriksson, Ioannis E. Κoutroubakis, Kalliopi Foteinogiannopoulou, Jimmy K. Limdi, Eleanor Liu, Gerard Surís, Emma Calabrese, Francesca Zorzi, Rafał Filip, Davide Giuseppe Ribaldone, Yifat Snir, Idan Goren, Hagar Banai-Eran, Yelena Broytman, Hadar Amir Barak, Irit Avni‐Biron, Jacob E. Ollech, Iris Dotan, Maya Aharoni Golan

Bibliographic record

VenueJournal of Crohn s and Colitis · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineUstekinumabVedolizumabCrohn's diseaseSurgeryInflammatory bowel diseaseInternal medicineGastroenterologyDiseaseInfliximab

Abstract

fetched live from OpenAlex

BACKGROUND: Endoscopic-post-operative-recurrence [ePOR] in Crohn's disease [CD] after ileocecal resection [ICR] is a major concern. We aimed to evaluate the effectiveness of early prophylaxis with biologics and to compare anti-tumour necrosis factor [anti-TNF] therapy to vedolizumab [VDZ] and ustekinumab [UST] in a real-world setting. METHODS: A retrospective multicentre study of CD-adults after curative ICR on early prophylaxis was undertaken. ePOR was defined as a Rutgeerts score [RS] ≥ i2 or colonic-segmental-SES-CD ≥ 6. Multivariable logistic regression was used to evaluate risk factors, and inverse probability treatment weighting [IPTW] was applied to compare the effectiveness between agents. RESULTS: The study included 297 patients (53.9% males, age at diagnosis 24 years [19-32], age at ICR 34 years [26-43], 18.5% smokers, 27.6% biologic-naïve, 65.7% anti-TNF experienced, 28.6% two or more biologics and 17.2% previous surgery). Overall, 224, 39 and 34 patients received anti-TNF, VDZ or UST, respectively. Patients treated with VDZ and UST were more biologic experienced with higher rates of previous surgery. ePOR rates within 1 year were 41.8%. ePOR rates by treatment groups were: anti-TNF 40.2%, VDZ 33% and UST 61.8%. Risk factors for ePOR at 1 year were: past-infliximab (adjusted odds ratio [adj.OR] = 1.73 [95% confidence interval, CI: 1.01-2.97]), past-adalimumab [adj.OR = 2.32 [95% CI: 1.35-4.01] and surgical aspects. After IPTW, the risk of ePOR within 1 year of VDZ vs anti-TNF or UST vs anti-TNF was comparable (OR = 0.55 [95% CI: 0.25-1.19], OR = 1.86 [95% CI: 0.79-4.38]), respectively. CONCLUSION: Prevention of ePOR within 1 year after surgery was successful in ~60% of patients. Patients treated with VDZ or UST consisted of a more refractory group. After controlling for confounders, no differences in ePOR risk were seen between anti-TNF prophylaxis and other groups.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.203
Threshold uncertainty score0.638

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.008
GPT teacher head0.252
Teacher spread0.244 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations63
Published2022
Admission routes1
Has abstractyes

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