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Record W2802901029 · doi:10.1093/ibd/izy138

Agreement Between Crohn’s Disease Endoscopic Severity Scores Derived from Live, Video-recorded, and Central Readings

2018· letter· en· W2802901029 on OpenAlexaff
Justin Côté-Daigneault, Farhad Peerani, Κωνσταντίνος Κατσάνος, Thomas Ullman, James F. Marion, Peter Legnani, Benjamin L. Cohen, Jean‐Frédéric Colombel

Bibliographic record

VenueInflammatory Bowel Diseases · 2018
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of AlbertaUniversité de Montréal
Fundersnot available
KeywordsCrohn's diseaseMedicineDiseaseAgreementSeverity of illnessInternal medicine

Abstract

fetched live from OpenAlex

Evidence- and consensus-based recommendations from the International Organization for the Study of Inflammatory Bowel Diseases (IOIBD) and the FDA stress the importance of endoscopic endpoints in both clinical practice and clinical trials.1 Central reading of endoscopy in inflammatory bowel disease (IBD) patients has become the gold standard for inclusion and evaluation of endoscopic endpoints in clinical trials.2 Although several publications have confirmed the good inter- and intra-rater reliability of the Crohn’s Disease Endoscopic Index of Severity (CDEIS) and the Simple Endoscopic Score for Crohn’s Disease (SES-CD),3 and agreement between site and central readings,4 the agreement derived from live local, delayed local video-recorded, and central readings has never been studied. This is relevant since it can be suspected that lesions seen during live endoscopies may be missed on reviewing videotapes. The goal of this study was to assess the agreement among live evaluation, video-recorded and central reading of Crohn’s disease (CD) endoscopic scores, CDEIS, and SES-CD. In a prospective study conducted at Mount Sinai Hospital in New York, Crohn’s disease patients were recruited between April and December 2015. The research ethics board at Mount Sinai Hospital approved the study. Three endoscopists with substantial IBD practices performed live local (L) readings and delayed local video-recorded (D) readings at least 3 months after the L reading. Two central readers (C1 and C2) read all videos. All local readers were not using endoscopic scoring in the past, but underwent standardized training for the CDEIS and SES-CD based on thorough review of published criteria.5, 6 Intraclass correlation coefficients (ICC) and Bland and Altman plots were estimated to assess the agreement between severity scores derived from L, D, C1, and C2 readings.7 The primary outcome was the agreement between severity scores derived from live local (L) and central (C1 and C2) readings. Secondary outcomes were the agreement between severity scores derived from live local (L) and delayed local (D) readings and severity scores derived from D and C1 and C2. A total of 45 CD patients satisfied the inclusion criteria. These patients had a mean age of 41 ± 15 years, disease duration of 17 ± 11 years, and HBI of 3.1 ± 3.9. Forty-two percent of patients had an ileocolonic phenotype, and 60% had experienced prior surgery. ICC coefficient estimations were higher than 0.80 for the primary outcome (L vs C1 and L vs C2) and for the majority of secondary outcomes (Table 1). Limits of agreement, measured by mean differences ±2 SD, were close to 10 for our primary outcome (Fig. 1). The scoring items stenosis and affected area were identified as particular areas of disagreement in a subgroup of patients and could explain this wider range. Intra-class Correlations Between Various Readings for the CDEIS and SES-CD C1 – Central Reader 1, C2 – Central Reader 2 Intra-class Correlations Between Various Readings for the CDEIS and SES-CD C1 – Central Reader 1, C2 – Central Reader 2 Blue dots: endoscopist 1; green dots: endoscopist 2; red dots: endoscopist 3. Middle line: mean differences. Upper and lower lines: mean differences ±2 SD. Central readers have become instrumental in clinical trials to reduce variability in interpreting disease severity; however, specific training in the SES-CD and CDEIS for our local readers translated into endoscopic scores that had a high level of agreement with central readers. This could be explained by the lack of inherent bias to overestimate disease severity, which could lead to discrepancy in scoring in clinical trials. Importantly, even if endoscopists involved in this study have substantial IBD practices, they were not using Crohn’s endoscopic scores consistently before participating in this study, which makes our data more generalizable. In conclusion, our results showed that after standardized training in Crohn’s disease endoscopic scoring, the agreement level between local readers and central readers is high in a clinical setting. This should motivate all gastroenterologists involved in the care of IBD to learn and apply these scores in routine clinical practice to improve the quality of endoscopic reports. Also, this data further validates the reliability of central reading in clinical trials. Conflicts of Interest: None of the authors has any conflict of interest to declare. Author Contributions: JCD was involved in the study design, data collection, data analysis, drafting, and critical revision of the letter. FP was involved in the data collection, data analysis, drafting, and critical revision of the letter. KK was involved in the study design. TU, JM, PL, and BC were involved in the data collection and critical revision of the letter. JFC was involved in the study design, data analysis, drafting, and critical revision of the letter. This work was presented at ECCO in Barcelona in February 2017 and at DDW in Chicago in May 2017.

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)0.028
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.972
Threshold uncertainty score0.146

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.043
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.225
Teacher spread0.216 · 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.

Study designObservational
DomainMethods
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
Published2018
Admission routes1
Has abstractyes

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