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Record W3168229111 · doi:10.1093/ecco-jcc/jjab076.338

P212 Assessment of Crohn’s disease activity using global MaRIA score in patients with ileal and ileocolonic disease

2021· article· en· W3168229111 on OpenAlexaboutno aff
K Hrabric Sonje, Viktor Domislović, Marko Brinar, S. Čuković-Čavka, Nikša Turk, Dora Grgić, Ivica Sjekavica, Željko Krznarić

Bibliographic record

VenueJournal of Crohn s and Colitis · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGastroenterologyInternal medicineCrohn's diseaseIleumDiseaseInflammatory bowel diseaseRectumColonoscopyAscending colonColorectal cancer

Abstract

fetched live from OpenAlex

Abstract Background Magnetic resonance index of activity (MaRIA) is composed of features independently associated with endoscopic disease activity and is surrogate marker of disease activity. The aim of this study was to evaluate correlation of global MaRIA (gMaRIA) with clinical and biochemical disease activity indices and diagnostic accuracy for active disease in patients with terminal ileum disease and ileocolonic disease. Methods This is a cross-sectional study which included 251 patients with diagnosed CD. Global MaRIA (gMaRIA) index was calculated on 6 bowel segments (the distal ileum, ascending, transverse, descending, sigmoid colon and rectum) using following parameters: bowel wall thickness, ulcers, edema and relative contrast enhancement. Disease activity was defined as combination of clinical and biochemical disease activity (CRP>5 or HBI≥5). Disease extension was classified using Montreal classification (L1 ileum, L2 colon, L3 ileum and colon). Results This study included 251 CD patients [age 35 (25–47), 55.3% males, BMI 21.8 (18–25) kg/m2, median disease duration 7 (2–15) years]. Ileal disease (L1) was present in 84 (33.5%) and ileocolonic disease (L3) in 151 (60.1%) patients. Correlation of gMARIA with biochemical indices of disease activity (CRP) was r=0.48, p<0.001 and with HBI r=0.33, p<0.001. Diagnostic accuracy of gMARIA in defining active disease in patients with L1 disease was considerably high [AUC 0.83 (95%CI 0.72–0.91)]. On the other hand, diagnostic accuracy in defining active disease in patients with L3 disease was good [AUC 0.71 (95%CI 0.62–0.79)], which is lower compared to L1 disease. In surgically naïve patients diagnostic accuracy of L1 disease was [AUC 0.88 (95%CI 0.72–0.96)], and for L3 disease [AUC 0.78 (95%CI 0.64–0.89)]. Conclusion Global MaRIA index showed higher diagnostic accuracy in detecting clinically and biochemically active disease in terminal ileum compared to ileocolic disease. These results emphasize the important role of magnetic resonance enterography in monitoring disease activity in patients with isolated ileal disease. Global MaRIA score correlates better with biochemical disease activity compared to clinical disease activity, which points out to the significance of biochemical remission.

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.007
GPT teacher head0.260
Teacher spread0.253 · 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
Published2021
Admission routes1
Has abstractyes

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