MétaCan
Menu
← Back to cohort
Record W2922453664 · doi:10.1093/jcag/gwz006.233

A234 INTER AND INTRA RATER RELIABILITY OF PHOTO DOCUMENTATION IN COLONOSCOPY

2019· article· en· W2922453664 on OpenAlexaffabout
P Kundapur, Anil Bedi

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2019
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsColonoscopyMedicineIleocecal valveCecumReliability (semiconductor)DocumentationColorectal cancerGuidelineGeneral surgeryMedical physicsSurgeryCancerInternal medicineComputer science

Abstract

fetched live from OpenAlex

Colonoscopy is one of the most powerful methods employed for early detection and prevention of colorectal cancer. Visualization of the cecum is significant as it indicates that a complete colonoscopy has been performed. Photo-documentation of the ileocecal valve has been utilized to document a complete colonoscopy. The effectiveness of this guideline as a screening tool used by endoscopists in the Saskatoon Health Region remains to be researched. To determine the inter- and intra-rater reliability amongst endoscopists in regards to colonoscopy photodocumentation. The endoscopic-photo at the moment when the endoscopist believes they have completed the colonoscopy (reached the ileocecal valve) was recorded. As well, endoscopists were instructed to get one photograph of the colon, not of the ileocecal valve but similar in appearance, for every 4 positive scopes. A total of 20 pictures were collected from 3 endoscopists and 10 pictures from 2 endoscopists. After the completion of all 80 colonoscopies, the photographs were compiled, randomized and presented to each of the 5 endoscopists. The endoscopists were required review all the 80 photographs, within a standardized time period, and grade whether the photo-documentation indicated that cecum had been reached or not. The data was recorded and a correlation coefficient was performed to analyze the intra-rater and inter-rater reliability. Overall agreement between stated image region that was taken and physician blinded review occurred in 365 of 400 reviews (91%). Among those images taken at the cecum/appendix, 297/320 reviews (93%) labeled these images as being from this region (sensitivity). Among those images not from the cecum/appendix, 68/80 reviews (85%) recognized these images as not begin from this region (specificity). As such 12/80 reviews (15%) of images taken prior to the cecum/appendix were mistakenly thought to be from the cecum/appendix (i.e. false positive). Overall positive and negative predictive values were 96% and 75% respectively. Overall agreement across multiple raters using Fleiss’s Kappa statistic = 0.69, suggesting substantial agreement beyond that occurring by chance. Of the 80 images assessed, 6 (8%) were not rated the same way when reassessed by the endoscopist who originally took the image. Three were falsely labeled as negative and three were falsely labeled as positive. Documenting colonoscopy with static images of the ileocecal valve is only partially successful as an objective measure if a total colonoscopy has been performed at the Saskatoon Health Region. Authors believe still photography of the ileocecal valve may not be convincing in all cases. A combination of photographs (involving the ileocecal valve and appendiceal orifice) or documentation of the terminal ileum could be more efficacious as an objective measure of a total colonoscopy. None

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)0.118
metaresearch head score (Gemma)0.166
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 score0.118
Threshold uncertainty score0.626

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1180.166
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0010.002
Scholarly communication0.0020.001
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 head0.005
GPT teacher head0.238
Teacher spread0.233 · 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
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueJournal of the Canadian Association of Gastroenterology→Same topicColorectal Cancer Screening and Detection→French-language works237,207→