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Record W4318539840 · doi:10.1093/ecco-jcc/jjac190.0096

DOP56 Long-term disease progression and resective surgery rates in Crohn’s disease over different therapeutic eras – a population-based study from western Hungary between 1977–2020, data from the Veszprem county cohort

2023· article· en· W4318539840 on OpenAlexaff
Lóránt Gönczi, L Lakatos, Petra A. Golovics, T Pandur, G Dávid, Zsuzsanna Erdélyi, I Szita, Péter L. Lakatos

Bibliographic record

VenueJournal of Crohn s and Colitis · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineCohortPopulationCrohn's diseaseDiseaseCohort studyPediatricsProspective cohort studySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Few population-based studies have investigated the long-term surgery rates of Crohn’s disease (CD). The present study is a continuation of the Veszprem IBD population based cohort with a follow-up since 1977. Our aim was to analyze the long-term disease course and surgery rates over different therapeutic eras in a prospective population-based database from Veszprem Province, including incident CD patients. Methods Patient inclusion was between January 1, 1977 and December 31, 2018; follow-up ended December 31, 2020. Both in-hospital and outpatient records were collected and comprehensively reviewed at diagnosis and during clinical follow-up. Surgery rates were examined in three different eras based on time of diagnosis: cohort-A, 1977-1995; cohort-B, 1996-2008; and cohort-C, 2009-2018. Results Data of 946 incident CD patients were analyzed (male/female: 496/450; median age at diagnosis:28 years(y) [IQR: 22-40]), with a median of 15y(IQR 9-21) follow-up.Table 1. Overall immunosuppressive therapy use was increasing by time (48.0%/62.4%/65.5%), as well as the probability of biological therapy initiation within 5 years of diagnosis (0.0±0%/7.3±1.2%/22.7±2.2%) in cohorts A/B/C. Figure 1. The cumulative probability of disease behavior progression in patients with luminal (B1) behavior into stenosing or penetrating phenotype (B2/B3) was 27.1±5.3%/ 21.5±2.5%/ 11.3±2.2% in cohorts A/B/C after 5 years (pLogRank<0.001). Figure 2. The cumulative probability of resective surgery in the total population was 34.2±1.6% after 10 years, 44.9±2.0% after 20 years, and 61.9±4.2% after 30 years. The cumulative probability of first resective surgery between cohorts A/B/C were as follows: 28.7±3.7%/ 26.3±2.1%/ 28.1±2.4% after 5 years; 39.4±4.0%/ 32.6±2.2%/ 33.0±2.7% after 10 years; and 54.5±4.1%/ 41.4±2.6% (cohorts A/B) after 20 years. There were no statistically significant differences in surgery rates between the cohorts overall [pLogRank=0.055], however a notable decrease in long-term (20y) surgery rates was observed comparing cohorts B and C vs. cohort A.Figure 3. A cox-regression multivariate analysis showed that stenosing or penetrating disease (B2/B3) behavior (HR 4.52; 95%CI 3.60-5.68; p<0.001) and ileal (L1) location at diagnosis (HR 1.30; 95%CI 1.05-1.61; p=0.016) were independent predictors of resective surgery.Table 2. Conclusion Disease behavior progression decreased, however no differences in resective surgery risk at 5 and 10 years from diagnosis have been observed in incident CD patients despite the increasing use of immunosuppressives and biologicals in this population based cohort. However, a decrease is shown in long term (20y) surgery risk comparing the earliest cohort to latter ones with higher immunosuppressive and biological use.

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 score0.008
Threshold uncertainty score0.016

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 head0.025
GPT teacher head0.312
Teacher spread0.286 · 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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Citations0
Published2023
Admission routes1
Has abstractyes

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