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Record W4318539610 · doi:10.1093/ecco-jcc/jjac190.0370

P240 Low surgery rates first year after diagnosis in Crohn’s disease; results from a large population-based inception cohort - the IBSEN III study

2023· article· en· W4318539610 on OpenAlexaboutno aff
Cathrine Lund, Vibeke Strande, Milada Cvancarova Småstuen, May‐Bente Bengtson, Raziye Boyar Cetinkaya, Trond Espen Detlie, Svein-Oskar Frigstad, Asle W. Medhus, Magne Henriksen, Kristina I Aass Holten, Øistein Hovde, Gert Huppertz‐Hauss, Ingrid Torp Johansen, B Olsen, Randi Opheim, Jens Pallenschat, Gøri Perminow, Petr Ricanek, Simen Vatn, Tone Bergene Aabrekk, Vendel A. Kristensen, Marte Lie Høivik

Bibliographic record

VenueJournal of Crohn s and Colitis · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCrohn's diseaseCohortDiseaseInflammatory bowel diseaseIncidence (geometry)Cohort studyCumulative incidencePopulationProspective cohort studySurgeryAbdominal surgeryInternal medicineBowel resectionPediatrics

Abstract

fetched live from OpenAlex

Abstract Background Surgery rates in Crohn’s disease (CD) have declined during recent years, in parallel with the introduction and increased use of biological treatment. The aim of this study was to describe the use of first-line biologic therapy and to estimate the intra-abdominal surgery rate during the first year after the CD diagnosis. Methods The Inflammatory Bowel Disease in South-Eastern Norway III (IBSEN III) study is a population-based inception cohort with a prospective follow-up of newly diagnosed inflammatory bowel disease patients from the South-Eastern Health Region of Norway included in the period 2017 to 2019. Five hundred and seven patients ≥18 years were diagnosed with CD and those attending the one-year follow-up visit were included in this study. Clinical data, including Montreal classification, were registered at time of diagnosis. At the one-year follow-up, use of biologic therapy and need for CD-related intra-abdominal surgery since diagnosis were registered. Kaplan-Meier plots estimated the cumulative incidence of first-line biologic therapy and intra-abdominal surgery. Results A total of 431/507 (85%) CD patients attended the one-year follow-up and were included, 54.8% female, median age 37 years (range 18-80). At diagnosis 218 (50.6%) presented with ileal disease location, 76 (17.6%) colonic and 137 (31.8%) ileocolonic disease location, while 11 (2.6%) also had upper gastrointestinal involvement. The majority, 351 (81.4%), had a non-stricturing non-penetrating disease behavior, 70 (16.2%) a stricturing and 10 (2.3%) a penetrating disease behavior, while 17 (3.9%) also had perianal disease. Within one year of follow-up, 165 (38.7%) received at least one biologic therapy (60.6% infliximab, 35.8% adalimumab and 3.6% vedolizumab). Seven patients (1.6%) underwent perianal surgery and 21 (4.9%) had intra-abdominal surgery within the first year. Three of these were diagnosed during their primary surgery. Time from diagnosis to start of first-line biologic therapy and first intra-abdominal surgery is shown in Figure 1 and Figure 2, respectively. Figure 1: Kaplan-Meier plot showing cumulative incidence of first-line biologic therapy. Figure 2: Kaplan-Meier plot showing cumulative incidence of Crohn's related intra-abdominal surgery. Conclusion In the IBSEN III cohort, the rate of intra-abdominal surgery during the first year of disease was low (4.9%) compared to a previous population-based study from the same geographic area during the pre-biologic era, the IBSEN study, where the surgery rate was reported as 15.9 %.1 We hypothesize that a large preponderance of patients presenting with milder phenotypes at diagnosis combined with high use of biologicals contribute to the low surgery rates.

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)0.002
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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.243
Teacher spread0.235 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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