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Record W4206916410 · doi:10.1093/ecco-jcc/jjab232.586

P459 High inadequate surveillance rates in colitis-associated advanced neoplasia: a multicenter retrospective cohort study

2022· article· en· W4206916410 on OpenAlexaff
Maarten te Groen, Monica E. W. Derks, Caryn Peters, Gerard Dijkstra, Annemarie C. de Vries, Tessa E H Römkens, Carmen S. Horjus, Nanne K.H. de Boer, Michiel E. de Jong, Irıs D. Nagtegaal, Lauranne Derikx, Frank Hoentjen

Bibliographic record

VenueJournal of Crohn s and Colitis · 2022
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Treatments and Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineColonoscopyUlcerative colitisInflammatory bowel diseaseInternal medicineDysplasiaGuidelineRetrospective cohort studyCohortColorectal cancerGastroenterologyCancerDiseasePathology

Abstract

fetched live from OpenAlex

Abstract Background Although colorectal cancer (CRC) surveillance is embedded in IBD practice, a subset of patients still develops advanced neoplasia (AN; high-grade dysplasia (HGD) and/or CRC). We aimed to determine the most plausible explanations for AN in IBD patients through assessment of inadequate surveillance. Methods A search of the nationwide histopathology registry of the Netherlands (PALGA) was used to identify IBD patients with AN in seven hospitals. Patients with ulcerative colitis (UC), Crohn’s disease (CD), or IBD-unclassified (IBD-U) from 1 January 1991 until 1 October 2020 were eligible for inclusion. Exclusion criteria comprised familial CRC or AN prior to IBD diagnosis. A root-cause analysis based on the World Endoscopy Organizations’ recommendations was performed to determine inadequate surveillance prior to the first AN, including lack of cecal intubation, insufficient bowel preparation (BBPS<6 or according to colonoscopy report) and active endoscopic inflammation. Interval inadequacy was assessed according to most recent BSG guideline including a six month margin. Associations were assessed with a binary regression model. Results We included 179 patients with AN (figure 1). Of these, 22 patients (12.3%) were diagnosed with AN before surveillance was indicated. Inadequate surveillance was present in 122 patients (68.2%, n=50 HGD, n=72 CRC), of whom 47 patients (26.3%) did not receive any surveillance colonoscopy before AN diagnosis. A delayed surveillance interval was identified in 44 patients (24.6%), with a median deviation from surveillance recommendations of 19.0 months (IQR 9.5–28.5 months). Furthermore, 56 patients (31.3%) had active inflammation, three had insufficient bowel preparation, and two patients had an incomplete colonoscopy. Younger age at diagnosis (annual OR 0.96, 95% CI 0.94–0.98, p<0.01) and post-inflammatory polyps (OR 2.14 95% CI 1.06–4.32, p=0.03) were independently associated with inadequate surveillance. By contrast, prior indefinite for dysplasia or low-grade dysplasia was associated with adequate surveillance (OR 0.36, 95% CI 0.17–0.76, p<0.01). Finally, 35 patients (19.6%) had interval or surveillance AN despite adequate surveillance (diagnosed during a diagnostic procedure or surveillance colonoscopy, respectively). Figure 1. Root-cause analysis flowchart Conclusion The majority of IBD patients with AN in our cohort had prior inadequate surveillance. This observation underlines the importance of adequate surveillance and guideline adherence.

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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.008
GPT teacher head0.272
Teacher spread0.264 · 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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