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Record W3000144888 · doi:10.1093/ecco-jcc/jjz203.935

P807 UCEIS is associated with PRO2, partial Mayo and SCCAI remission in UC: preliminary results from a prospective study

2020· article· en· W3000144888 on OpenAlexaff
Petra A. Golovics, Lóránt Gönczi, J Reinglass, Christine Verdon, Waqqas Afif, Gary Wild, Alain Bitton, Ernest G. Seidman, Talat Bessissow

Bibliographic record

VenueJournal of Crohn s and Colitis · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsMcGill University
Fundersnot available
KeywordsInternal medicineMedicineGastroenterologyUlcerative colitisCalprotectinProspective cohort studyInflammatory bowel diseaseDisease

Abstract

fetched live from OpenAlex

Abstract Background Optimal management of patients with ulcerative colitis (UC) requires the accurate assessment of disease activity. Endoscopic evaluation is considered the gold standard approach, but it is invasive. We aimed to determine the operating characteristics of the Ulcerative Colitis Endoscopic Index of Severity (UCEIS), to quantify the cut off most closely correlated with clinical remission or activity and determine agreement with the Mayo endoscopic subscore (MES), Baron score, clinical scores and biomarkers. Methods 136 patients were included prospectively (age: 48 (IQR38-61) years, duration 12 (4–19)years, 63 females, 53.7% extensive disease, 40.4% on biologicals) at the time of the colonoscopy. Ulcerative Colitis Endoscopic Index of Severity (UCEIS) Mayo endoscopic subscore (MES), Baron scores were calculated, as well as the2 item patient reported outcome (PRO), partial MAYO, Simple Clinical Colitis Activity Index (SCCAI). CRP and faecal calprotectin (FCAL) was available in 58.1 and 33.8% of patients. 20.7% had clinical flare, treatment was escalated in 17.8% of patients. ROC analysis and K-statistics were performed and Spearman’s correlation was calculated. Results UCEIS was strongly associated to PRO2 SF (AUC:0.866), RBS (AUC:0.921), PRO2 combined remission (AUC:0.905), partial MAYO (AUC:0.956) and SCCAI (AUC:0.907) remission in a ROC analysis. A UCEIS of ≤3 was identified as the best cut-off to identify RBS subscore of 0, or total PRO2 remission (RBS 0 and SF ≤1), partial MAYO (≤2) and SCCAI (≤2.5) remission, while a UCEIS≥4 identified active disease frequently needing change in medical therapy. A moderate agreement was found between UCEIS and MES (K=0.451) or Baron (K=0.499) scores. Correlation between FCAL and UCEIS (coeff:0.743, p < 0.0001) was strong, while modest only with CRP (coeff:0.333, p = 0.01). Conclusion A UCEIS was strongly associated with clinical remission defined as PRO2, SF, RBS, partial Mayo or SCCAI with best agreement with RBS and partial Mayo remission. A UCEIS of ≤3 was identified as a cut-off for quiescent disease, while a UCEIS≥4 identified active disease, which can support clinical decision-making based on endoscopic findings. Agreement between UCEIS and FCAL was strong, while agreement with UCEIS and MES/Baron scores was moderate.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.237
Teacher spread0.228 · 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
Published2020
Admission routes1
Has abstractyes

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