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Record W4318539358 · doi:10.1093/ecco-jcc/jjac190.0408

P278 Endoscopic scoring system utilization for Inflammatory Bowel Disease activity assessment: a multicenter real-world evidence study from Argentina (DARE study)

2023· article· en· W4318539358 on OpenAlexaff
Juan S. Lasa, S B Martinez, Astrid Smolarczuk, Sofía Navar, Federico Espinosa, Lisandro Pereyra, German L. Rainero, Noelia E. Meligrana, Victoria Marturano, Leandro Steinberg, Katerin Yaritza Hernández Reyes, F Giraudo, L Garbi, L Gullino, M Yantorno, G Correa, Carla Ponce, D Orellana, Martín Galvarini, Emanuela Aloisio Caruso, Pablo A. Olivera

Bibliographic record

VenueJournal of Crohn s and Colitis · 2023
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsSinai Health SystemLunenfeld-Tanenbaum Research Institute
Fundersnot available
KeywordsMedicineColonoscopyInflammatory bowel diseaseInternal medicineUlcerative colitisObservational studyLogistic regressionEndoscopyCrohn's diseaseMultivariate analysisQuality of life (healthcare)DiseaseGastroenterologyColorectal cancerCancer

Abstract

fetched live from OpenAlex

Abstract Background The use of scores for the assessment of endoscopic activity in inflammatory bowel disease (IBD) patients is crucial for accurate and reproducible evaluation of mucosal healing, which is a relevant marker of prognosis. Frequency and patterns of their use in a real-life setting are not known. We aimed to describe the prevalence of adequate use of endoscopic scores in IBD patients who underwent colonoscopy in a real-life setting. Methods A multicenter observational study comprising six community hospitals in Argentina was undertaken. Patients with a diagnosis of Crohn’s disease or ulcerative colitis who underwent colonoscopy for endoscopic activity assessment between July 2018 and July 2022 were included. Colonoscopy reports of included subjects were manually reviewed to determine the proportion of colonoscopies that included an endoscopic score report. We compared the endoscopic findings to determine if there were differences in the score reported and the inflammatory activity described. Finally, we determined the proportion of colonoscopy reports that included all of the IBD colonoscopy report quality elements proposed by BRIDGe group. Endoscopist’s specialty, years of experience as well as expertise in IBD were assessed. Chi square test was used for the comparison of categorical variables; Student t test for the comparison of numerical variables. A multivariate analysis was performed using a logistic regression model. A p value of less than 0.05 was considered to be statistically significant. Results A total of 1206 patients were included for analysis (32.25% patients with Crohn’s disease). Mean age was 45.48±15.6. Endoscopic score reporting was found in only 34.45% of Crohn’s disease colonoscopies and in 52.87% of ulcerative colitis colonoscopies. Most frequently used scores were Mayo endoscopic score (90.56%) and SES-CD (56.03%). We found discrepancies between the score reported and the findings described in colonoscopies in 10.92% of cases; only 26% of reports included all recommendations proposed by BRIDGe group. On multivariate analysis, surgeons as operators [OR 0.08 (0.03-0.18)], >15 years of endoscopist experience [OR 0.24 (0.07-0.37)], IBD expertise [OR 2.86 (1.86-4.41)] and compliance of quality elements of reporting [OR 2.48 (1.24-3.76)] were significantly associated with endoscopic score reporting. Conclusion We identified a low prevalence of endoscopic activity score reporting in IBD patients’ colonoscopies. This finding is associated with operator-dependent characteristics. Educational interventions can be introduced to increase adequate score reporting.

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)0.004
metaresearch head score (Gemma)0.007
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 score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.064
GPT teacher head0.363
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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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