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PTH-114 Dedicated endoscopic ibd surveillance list improves adherence to guidelines

2017· article· en· W2903092537 on OpenAlexaff
Rimma Goldberg, Steven Fong, Mark Samaan, Jonathan Digby‐Bell, EL Johnston, Simon Anderson, Peter M. Irving, Jeremy Sanderson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsChromoendoscopyMedicineColonoscopyInflammatory bowel diseaseUlcerative colitisInternal medicineEndoscopyPsychological interventionGastroenterologyNiceCrohn's diseaseDiseaseColorectal cancer

Abstract

fetched live from OpenAlex

Introduction Current guidelines propose surveillance colonoscopy for patients with long term colonic Crohn’s disease or ulcerative colitis. Guidelines also suggest using chromoendoscopy with targeted biopsies of abnormal areas. Previous audits have shown poor adherence to these recommendations. We report the assessment of an IBD surveillance colonoscopy programme in an IBD tertiary centre, having implemented interventions in order to improve the quality of the service provided. Method To assess the efficacy of introducing dedicated IBD surveillance lists along with a change in bowel preparation and the use of post-endoscopy virtual clinics on the quality of the surveillance survey. We compared 2 different periods before and after the measures were implemented (period A (pre intervention): August 2015-December 2015 and period B (post intervention): August 2016-December 2016) Results A total of 84 patients underwent IBD surveillance colonoscopy, 28 in period A and 56 in period B. 16 out of 28 patients (57.1%) were allocated to an IBD endoscopy list in period A and 51/56 (91%)of patients in period B. During period B, 40/51 (78.5%) were allocated to a newly established dedicated IBD chromoendoscopy surveillance list. Chromoendoscopy was performed in 14/28 (50%) patients in Period A and in 44/56 (78.6%) patients in Period B. Dedicated surveillance list was significantly correlated with the use of chromoendoscopy (p=0.02). In addition, dedicated IBD surveillance list was correlated with targeted biopsies ( p :0.009). Despite these differences, the detection of abnormal lesions was similar (18/28 (64.2%) patients in period A and in 34/56 (60.7%) in period B). Likewise, dysplasia was detected in 6/28 (21.4%) patients in period A and in 8/56 (14.3%) in period B. All cases of dysplasia were detected on targeted biopsies whereas no dysplasia was found on random biopsies. However, in both periods, lesion detection rate was significantly associated with performance of chromoendoscopy (p=0.04). There was no significant difference in the number of patients that had good or adequate bowel preparation (BBPScale:2 or 3)( p : 0.9607) when sodium picosulphate was compared to Moviprep. There was a trend for correlation for good bowel prep (BBPS:3) and adenoma detection (p=0.082). Significantly more follow up endoscopies were arranged once patients were channelled through a newly established IBD virtual clinic (33/40 vs 10/44 p<0.05) Conclusion Following the implementation of a dedicated IBD surveillance, the use of chromoendoscopy and targeted biopsies has increased significantly and capacity for effective surveillance endoscopy doubled. We suggest these strategies should be considered in IBD centres to help improve the uptake and performance of an effective IBD surveillance programme. Disclosure of Interest None Declared

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)0.002
metaresearch head score (Gemma)0.015
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.071
GPT teacher head0.370
Teacher spread0.299 · 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
Published2017
Admission routes1
Has abstractyes

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