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Record W4391162173 · doi:10.1093/ecco-jcc/jjad212.0549

P419 Proximal Crohn’s disease location is associated with a more benign course of perianal Crohn’s disease (the PERIAPROX study)

2024· article· en· W4391162173 on OpenAlexaboutno aff
Cristina Romero-Mascarell, Antonio Giordano, Sabino Riestra, María Dolores Martín‐Arranz, Elena Ricart, Javier P. Gisbert, Eduard Brunet, Coral Rivas, Margalida Calafat, E Fernández Salgado, Jordi Guardiola, Fernando Gomollón, Eva Sierra Moros, Alejandro Hernández-Camba, Eva Iglesias, Ángel De Prado, Pilar Martínez-Montiel, Francisco Mesonero, Pilar Varela, Luisa de Castro, Lucía Madero Velázquez, J L Pérez-Calle, María Esteve, Iago Rodríguez–Lago, Fernando Bermejo, Rufo Lorente, Beatriz Sicilia, Jesús Castro‐Poceiro, Jordi Gordillo, José María Huguet, Ángel Ponferrada, M Sierra, Luís Bujanda, Ignacio Marín‐Jiménez, Isabel Pascual, Isabel Vera, Eva Sesé, Pablo Vega, Eugeni Domènech, Esther García-Planella

Bibliographic record

VenueJournal of Crohn s and Colitis · 2024
Typearticle
Languageen
FieldMedicine
TopicAnorectal Disease Treatments and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsCrohn's diseaseMedicineDiseaseCrohn diseaseGastroenterologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Proximal Crohn’s disease (CD) location (L4 according to the Montreal Classification) is associated with a more severe course with higher risk of abdominal surgery. However, little is known about the relation with perianal disease. The aim of our study was to investigate the impact of L4 disease location on perianal disease incidence and clinical course. Methods A case-control study was conducted in the prospectively maintained ENEIDA database for all CD with and without L4 location between January 2005 and March 2023. Demographic data, disease characteristics, perianal disease diagnosis and evolution according to biologic therapy and surgery requirement were collected. Demographic data, CD characteristics, perianal disease diagnosis and course were analyzed. Cox proportional hazards and Kaplan-Meier methods were used for the analysis of perianal incidence, and biologic and surgery requirement. Results A cohort of 14022 CD patients were included in the analysis. The mean follow-up duration was 6.4 years (SD 4.9). L4 location showed a lower prevalence of perianal disease (18.0 vs 19.9%, p=0.018), with lower rate of fistulas (60.9 vs 66.1%, p=0.021) and perianal abscesses (33.5 vs 39.4%, p=0.013). Perianal disease and L4 were associated with male sex (OR 1.29, p<0.001), younger age (43 vs 44), and the structuring phenotype (OR 2.14, p<0.001). L4 location was associated with a lower incidence of perianal disease (HR 0.891, p=0.041), while proctitis was associated with a higher risk (HR=2.161, p<0.001). L4 location was also associated with a lower requirement for biologics (HR 0.712, p=0.023), along with advanced age (HR 0.988, p<0.001). Proctitis (HR 1.292) and a history of perianal surgery (3.373) were associated with a higher requirement for biologics. At univariate analysis, L4 location was associated with a lower requirement of surgery (HR 0.833), however at multivariate analysis this finding was not confirmed (p=0.525). Instead, a history of active smoking (HR 1.419), the use of biologics (HR 2.262), and CD penetrating pattern (HR 1.277) were associated with a higher requirement for perianal surgery. Conclusion L4 location is associated with a lower incidence of perianal disease and a more benign course with lower requirement for biologics and surgery.

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0030.000

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 head0.284
Teacher spread0.273 · 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
Published2024
Admission routes1
Has abstractyes

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