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Record W3000169676 · doi:10.1093/ecco-jcc/jjz203.305

P176 Expert consensus on acquisition and reporting of intestinal ultrasonography activity in Crohn’s disease. A prospective inter-rater agreement study

2020· article· en· W3000169676 on OpenAlexaff
Rune Wilkens, Kim Nylund, Frauke Petersen, F de Voogd, Christian Maaser, Torsten Kucharzik, Giovanni Maconi, Mariangela Allocca, Chao Lü, Carolina Palmela, Rose Vaughan, Britt Christensen, Kerri L. Novak

Bibliographic record

VenueJournal of Crohn s and Colitis · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIntraclass correlationKappaMedicineCohen's kappaDelphi methodCrohn's diseaseGrading (engineering)Crohn diseaseReproducibilityRadiologyInternal medicineDiseaseStatisticsMathematics

Abstract

fetched live from OpenAlex

Abstract Background Intestinal ultrasonography (IUS) is a promising cross-sectional imaging modality used to assess transmural disease and complications in Crohn’s disease (CD). Although recently positioned as a first-line modality for evaluation as per ECCO guidelines, standard measurements, reproducibility and nomenclature have not yet been clearly established. The aim of this study was to evaluate the inter-rater agreement for parameters identified as important by experts through Delphi consensus. Methods IUS parameters demonstrating inflammatory activity were systematically reviewed in the literature and presented to IUS experts. Individual parameters were selected by a blinded Delphi consensus panel to establish relative contribution to inflammatory activity in CD. Weighted grading of each parameter was further established by expert consensus. Image acquisition for optimal measurement was established by consensus. Two phases for evaluating inter-rater variability were undertaken. Phase 1: blind review by 8 readers of 20 de-identified CD cases. Cases with poor agreement were reviewed to clarify discrepancy and improve agreement. Phase 2: an additional 30 de-identified CD cases blindly were reviewed by 12 independent expert readers. Inter-rater agreement was evaluated for all 4 key parameters. Statistics were performed using Stata 16. Bowel wall thickness (BWT) was assessed using intraclass correlation coefficient (ICC) and the ordinal parameters using weighted Cohens Kappa. Results The Delphi process reduced 12 activity parameters to 4 key contributors including BWT, color Doppler signal (CDI), inflammatory fat and bowel wall echostratification (Figure 1). BWT was regarded as pathologic if the average of 4 measurements were > 3 mm for the small and large bowel, and grades of the additional parameters established (Table 1). Bowel wall thickness was comprised of 2 measurements in cross section and 2 in longitudinal orientation (Figure 2). Interobserver agreement was almost perfect for BWT: ICC=0.91 (95% CI 0.83 to 0.96) p = 0.001, while there was moderate agreement for CDI κ=0.60 (95% CI 0.48–0.72) p = 0.001. Agreement for inflammatory fat detection was also moderate with κ= 0.50 (95% CI 0.33–0.66) p = 0.001, while stratification was fair κ= 0.39 (95% CI 0.26–0.53) p = 0.001. Conclusion This expert consensus-based IUS activity score clearly establishes the reproducibility of this standardised approach to measure inflammatory activity in patients with CD. Using our method, BWT which is known as the most important parameter, is highly reproducible with CDI and inflammatory fat demonstrating moderate reproducibility. This score may provide the foundation for the future incorporation of IUS in research studies and clinical trials.

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)0.284
metaresearch head score (Gemma)0.341
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.716
Threshold uncertainty score0.882

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2840.341
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.004
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0020.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.018
GPT teacher head0.279
Teacher spread0.261 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designObservational
DomainReporting
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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Citations3
Published2020
Admission routes1
Has abstractyes

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