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Record W4207084924 · doi:10.1093/ecco-jcc/jjab232.755

P629 Evolution of disease phenotype, time to biological therapy and medium-, long-term surgery rates in Crohn’s disease patients in Western Hungary – a population-based study between 2007–2018, data from the Veszprem county cohort

2022· article· en· W4207084924 on OpenAlexaff
Lóránt Gönczi, L. Lakatos, Petra A. Golovics, Tünde Pandúr, G Dávid, Zsuzsanna Erdélyi, István Szita, Péter L. Lakatos

Bibliographic record

VenueJournal of Crohn s and Colitis · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineDiseaseCrohn's diseasePopulationIncidence (geometry)Prospective cohort studyCohortInternal medicineCohort studyInflammatory bowel diseaseSurgery

Abstract

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Abstract Background The number of prospective population-based studies evaluating the natural disease course and surgical outcomes of Crohn’s disease(CD) are still limited from Eastern Europe. The present study is a continuation of the Veszprem IBD population-based cohort with a follow-up of the incidence and disease course of IBD since 1977. Our aim was to evaluate disease course by examining progression in disease phenotype, time to biological therapy and surgery rates in a prospective population-based database from Veszprem Province, including incident CD patients diagnosed between January1,2007 and December31,2018. Methods Data of 421 incident CD patients were analyzed(male/female:237/184; median age at diagnosis:29 years(y)[IQR: 21–42]). Both in-hospital and outpatient records were collected and comprehensively reviewed at diagnosis and during clinical follow-up. The mean length of follow-up was 8.53y(SD: 3.3). Probability of medium-, long-term change in disease course and surgical outcomes were analyzed. Results Disease location was ileal(L1), colonic(L2) in and ileo-colonic(L3) in 29.7%/24.5%/45.8% of patients at diagnosis. At the end of follow-up(8.53y), disease location was 27.1%/22.8%/50.1%(L1/L2/L3). The proportion of patients with upper gastrointestinal manifestation remained stable(7.6% and 8.1%), while perianal disease increased from 13.5% to 19% by the end of follow-up. Disease behavior at diagnosis was luminal(B1) in 62.5% of the patients. The probability of disease behavior progression from luminal into stenosing or penetrating phenotype was 11.9%(SE:1.7) at 3 years, 13.2%(SE:1.7) at 5 years and 17.6%(SE:1.7) at 10 years.Figure 1. The Probability of receiving biological therapy after diagnosis was 20.9%(SE:2.0) at 5 years and 28.8%(SE:2.0) at 10 years in this cohort. Overall resective surgery rate was 29.5% in the total population, while perianal surgery rate was 31.3% in patients with perianal disease at the end of follow-up. The probability of resective surgery was 20.7%(SE:2.0) at 1 year, 26.1%(SE:2.2) at 5 years and 30.7%(SE:2.4) at 10 years.Figure 2. For the probability of first perianal surgery among patients with perianal disease see Figure 3. Conclusion The probability of progression in disease behavior was lower compared to data from previous decades and similar to results from recent pan-European population-based data.(Burisch 2018, JCC). One-year surgery rates after diagnosis were considerably higher compared to previous data from our cohort or compared to Western and Northern European centers.(Lakatos 2011, IBD). Medium-term(5y) surgery rates were similar(~20%) compared to recent Hungarian and European data, while long-term(10y) rates decreased compared to data from previous decades.(Lakatos 2011,IBD; Lakatos 2012,AJG).

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)0.000
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.020
GPT teacher head0.263
Teacher spread0.243 · 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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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