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Record W3000174283 · doi:10.1093/ecco-jcc/jjz203.050

DOP11 Normalisation of faecal calprotectin within 12 months of diagnosis is associated with a reduced risk of disease progression in Crohn’s disease

2020· article· en· W3000174283 on OpenAlexaboutno aff
Nikolas Plevris, James Fulforth, P Jenkinson, Mathew Lyons, Cher Shiong Chuah, Spyros I. Siakavellas, Rebecca Pattenden, I. Arnott, Gareth Jones, Charlie W. Lees

Bibliographic record

VenueJournal of Crohn s and Colitis · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsCalprotectinMedicineCrohn's diseaseInternal medicineGastroenterologyCohortDiseaseProportional hazards modelFaecal calprotectinRetrospective cohort studyCohort studyInflammatory bowel diseaseSurgery

Abstract

fetched live from OpenAlex

Abstract Background Faecal calprotectin (FC) demonstrates an excellent correlation with endoscopic inflammation. In addition, a treatment-decision algorithm for Crohn’s disease (CD) incorporating FC outperforms and improves 12-month mucosal healing compared with a strategy based on symptoms alone. The aim of this study was to determine whether normalisation of FC (<250 μg/g) within 12-months of diagnosis is associated with a reduction in disease progression in CD. Methods This was a retrospective cohort study performed at a tertiary IBD centre. All incident cases of CD diagnosed between 2005 and 2017 were identified. Patients with an FC measurement of >250 μg/g at diagnosis who also had at least 1 follow-up FC measured within the first 12-months of diagnosis and >12 months of follow-up were included. The primary endpoint was a composite of progression in Montreal disease behaviour (B1 to B2/3 or B2 to B3 or new perianal disease), surgery or hospitalisation. Results A total of 375 patients were included with a median follow-up of 5.3 years (IQR 3.1–7.4). Normalisation of FC (<250 μg/g) within 12 months of diagnosis was confirmed in 43.5% (n = 163/375) of the cohort. On multivariable Cox-proportional hazards regression analysis, individuals who normalised their FC within 12 months of diagnosis had a significantly lower risk of composite disease progression (HR 0.351, 95% CI 0.235–0.523, p < 0.001) (Figure 1). Cumulative rates of composite disease progression were 7.8%, 21.4% and 29.9% in those that normalised their FC vs. 22.8%, 50.7% and 60.5% in those that did not at 2, 5 and 7 years after diagnosis, respectively. In addition, normalisation of FC was the only predictor that remained significant for all the separate progression end-points (progression in Montreal behaviour / new perianal disease: HR 0.250, 95% CI 0.122–0.512, p < 0.001; hospitalisation: HR 0.346, 95% CI 0.217–0.553, p < 0.001; surgery: HR 0.370. 95% CI 0.181–0.755, p = 0.006). The strongest predictor of whether an individual normalised their FC within 12 months was the commencement of a biologic within 3 months of diagnosis (OR 4.288, 95% CI 1.585–11.0601, p = 0.004). Conclusion Normalisation of FC by 12-months of diagnosis is associated with a reduced risk of disease progression in CD. Our data provide strong support for implementation of treat-to-target strategies earlier than previously tested in Crohn’s disease. The immediate implication for healthcare providers and patients is that by ensuring resolution of mucosal inflammation - measured by proxy with faecal calprotectin, and regardless of other variables - within 1 year of diagnosis has a dramatic effect on disease course.

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)0.003
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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.238
Teacher spread0.230 · 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
Published2020
Admission routes1
Has abstractyes

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