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Record W4206834270 · doi:10.1093/ibd/izab316

Indications, Postoperative Management, and Long-term Prognosis of Crohn’s Disease After Ileocecal Resection: A Multicenter Study Comparing the East and West

2021· article· en· W4206834270 on OpenAlexaff
Jeanine Arkenbosch, Joyce Wing Yan Mak, Jacky C. L. Ho, Evelien Beelen, Nicole S. Erler, Frank Hoentjen, Alexander Bodelier, Gerard Dijkstra, Mariëlle Romberg‐Camps, Nanne K.H. de Boer, Laurents P S Stassen, Andrea E. van der Meulen‐de Jong, Rachel West, Oddeke van Ruler, C. Janneke van der Woude, Siew C. Ng, Annemarie C. de Vries

Bibliographic record

VenueInflammatory Bowel Diseases · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Alberta
FundersErasmus Universitair Medisch Centrum RotterdamRadboud Universitair Medisch CentrumUniversitair Medisch Centrum GroningenMaastricht Universitair Medisch CentrumUniversiteit MaastrichtVrije Universiteit AmsterdamLeids Universitair Medisch CentrumUniversiteit LeidenAmsterdam University Medical CentersRadboud UniversiteitCelltrionTeva Pharmaceutical IndustriesPfizer
KeywordsMedicineHazard ratioConfidence intervalCrohn's diseaseInternal medicineGastroenterologyIleitisSurgeryDisease

Abstract

fetched live from OpenAlex

BACKGROUND: The Crohn's disease (CD) phenotype differs between Asian and Western countries and may affect disease management, including decisions on surgery. This study aimed to compare the indications, postoperative management, and long-term prognosis after ileocecal resection (ICR) in Hong Kong (HK) and the Netherlands (NL). METHODS: CD patients with primary ICR between 2000 and 2019 were included. The endpoints were endoscopic (Rutgeerts score ≥i2b and/or radiologic recurrence), clinical (start or switch of inflammatory bowel disease medication), and surgical recurrences. Cumulative incidences of recurrence were estimated with a Bayesian multivariable proportional hazards model. RESULTS: Eighty HK and 822 NL patients were included. The most common indication for ICR was penetrating disease (HK: 32.5%, NL: 22.5%) in HK vs stricturing disease (HK: 32.5%, NL: 48.8%) in the NL (P < .001). Postoperative prophylaxis was prescribed to 65 (81.3%) HK patients (28 [35.0%] aminosalicylates [5-aminosalicylic acid]; 30 [37.5%] immunomodulators; 0 biologicals) vs 388 (47.1%) NL patients (67 [8.2%] 5-aminosalicylic acid; 187 [22.8%] immunomodulators; 69 [8.4%] biologicals; 50 [6.1%] combination therapy) (P < .001). Endoscopic or radiologic evaluation within 18 months was performed in 36.3% HK vs 64.1% NL (P < .001) patients. No differences between both populations were observed for endoscopic (hazard ratio [HR], 0.53; 95% confidence interval [CI], 0.24-1.21), clinical (HR, 0.91; 95% CI, 0.62-1.32), or surgical (HR, 0.61; 95% CI, 0.31-1.13) recurrence risks. CONCLUSION: The main indication for ICR in CD patients is penetrating disease in HK patients and stricturing disease in NL patients. Although considerable pre- and postoperative management differences were observed between the two geographical areas, the long-term prognosis after ICR is similar.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.252
Teacher spread0.240 · 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 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

Citations8
Published2021
Admission routes1
Has abstractyes

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