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Record W4207003140 · doi:10.1093/ecco-jcc/jjab232.762

P640 Incidence, prevalence, disease phenotype and maximal therapeutic step in Crohn’s disease patients in Western Hungary – a population-based study between 2007–2018, data from the Veszprem county cohort

2022· article· en· W4207003140 on OpenAlexaff
Péter L. Lakatos, Lóránt Gönczi, Petra A. Golovics, Tünde Pandúr, G. David, Zsuzsanna Erdélyi, István Szita

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
KeywordsMedicineIncidence (geometry)PopulationEpidemiologyDiseaseCohortPediatricsCrohn's diseaseCohort studyInternal medicineDemographyEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Background The number of epidemiological population-based studies 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 analyze the incidence and disease phenotype at diagnosis, and the maximal therapeutic step distributions during follow-up in a prospective population-based database from Veszprem Province, including incident Crohn’s disease (CD) patients diagnosed between January 1, 2007 and December 31, 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 source of age- and gender-specific demographic data was derived from the national population census in 2011. Results Adjusted mean incidence rate was 9.94(CI95%: 9.0–10.9)/105 person-years in this 12 year period[males:11.5(CI95%:10.2–13.2)/105; females:8.4(CI95%:7.3–9.7)/105]. Prevalence rate was 191.18(CI95%:177.0–205.7)/105 persons in 2011 and 236.78(CI95%:220.8–252.8) in 2015. For detailed annual incidence rates and age-specific mean incidence rates see Figure1 and 2. Peak onset age in CD was 20–29 years of age. Diagnostic delay from symptom onset was ≥1year in 26.6%, and ≥3 years in 10% of the patients. Disease location was ileal(L1) in 29.7%, colonic(L2) in 24.5%, and ileo-colonic(L3) in 45.8% at diagnosis. Upper gastrointestinal manifestation or perianal disease were present in 7.6% and 13.5%. Disease behavior at diagnosis was luminal(B1) in 62.5%, stenosing(B2) in 17.6%, penetrating(B3) in 16.4%, and B2+B3 in 3.6%. Patients with ileocolonic disease were younger (29.2y,SD:14.6) at diagnosis compared to patients with ileal(35.7y,SD:15.5;p<0.001) or colonic disease(37.7y;SD:18.1;p<0.001). Extraintestinal manifestations were as follows: hepatic5.0%(PSC 1.9%), arthritis13.8%, ocular1.7%, cutan4.3%. Active smokers at diagnosis were 35.4%. Distribution of maximal therapeutic steps during the course of follow-up (8.53y,SD: 3.3) were 5-ASA in 15.7%, systemic corticosteroids in 14.3%, immunosuppressive therapy in 42.5%; anti-TNF biologic therapy in 23.3% and other biologic therapy in 2.9%. Conclusion The incidence of CD in this 12 year period was high, comparable to high-incidence areas in Western European countries, and comparable to previous data from the Veszprem cohort, while prevalence rates continue to rise.(Lakatos 2011, IBD). Ileocolonic location and penetrating disease behavior were somewhat higher compared to previous population-based data from Western Europe.(Burisch 2018, JCC).

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 head0.014
GPT teacher head0.260
Teacher spread0.245 · 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
Published2022
Admission routes1
Has abstractyes

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