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Record W4207073682 · doi:10.1093/ecco-jcc/jjab232.572

P445 Is objective disease monitoring strategy tailored to the presence of clinical symptoms, a prospective cohort study from a tertiary IBD center from Hungary

2022· article· en· W4207073682 on OpenAlexaff
Livia Lontai, Lóránt Gönczi, Nóra Komlódi, F Balogh, László Barkai, Ákos Iliás

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
KeywordsMedicineColonoscopyInternal medicineCrohn's diseaseCohortDiseaseInflammatory bowel diseaseProspective cohort studyClinical trialColorectal cancer

Abstract

fetched live from OpenAlex

Abstract Background Emerging data suggest that a treat-to-target approach and early therapeutic intervention using regular objective disease assessment leads to improved outcomes. Our aim was to evaluate the value of objective disease monitoring during regular follow-up. Methods Patients presenting in our IBD center between January and December in, 2018 were included and followed up for, 1 year. Data from clinical visits, clinical disease activity using Crohn’s Disease Activity Index and partial Mayo Score, biomarkers (CBC, CRP, FCAL), stool culture, colonoscopy/sigmoidoscopy, CT/MRI scans, abdominal US, total number of visits, hospitalization or surgery rates, and change in medical therapy were collected. We compared monitoring strategy according to the clinical disease activity in the given quarter-year period based on the patient’s status of clinical disease activity (remission/ flare / post-flare/ continuous activity). Results N=161 patients were included (CD:118/UC:43; male:, 56%), with predominantly moderate-to-severe disease phenotype (70% on biological therapy). In total, n=644 quarter year periods (n=, 554 with patient visit) were evaluated (remission, 57%; continuous activity, 19%; post-flare, 11%; flare, 13%). CBC and CRP were performed in, 82.9% and, 83.9% of all patients with at least one clinical visit in a quarter-year period, regardless of clinical activity in IBD. Colonoscopy was performed in patients with flare or continuous disease activity in, 21.1% and, 18.9%, but, 10.1% of the patients in clinical remission also underwent colonoscopy in a given quarter-year period. In a sub-analysis of UC patients, 24.1% of the patients presenting with disease flare had colonoscopy in a given period. Stool culture and C.difficile stool tests were performed in, 17.2% of UC patients with flare. CT scans were performed at a low rate of, 2.4% in CD patients with disease flare, while MRI scans were similar in all subgroups of CD patients (7.7–16.7%)., 13.2% of patients with cont. activity and, 24.5% of patients with flare needed initiation or dose optimization of corticosteroids, while biological start or dose optimization was needed in, 31.1% and, 33.8% in a given quarter-year period. Mean number of follow-up visits per quarter-year period was high(1.6) even for patients in remission, and, 2.4 in flare. Conclusion Our study confirmed the use of regular objective biomarker monitoring, independent of clinical activity. We report high utilization of c-scope/sigmoidoscopy as well as MRI (in CD) in the objective evaluation of patients with clinical symptoms or even as part of routine monitoring. CT was reserved for emergency situations, while the use of US was relatively low. Objective monitoring resulted in frequent and early optimization of the therapeutic strategy.

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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.011
GPT teacher head0.287
Teacher spread0.276 · 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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