A177 BIRTH COHORT SCREENING FOR HEPATITIS C IN AN OUTPATIENT ENDOSCOPY UNIT: A PILOT STUDY
Bibliographic record
Abstract
Abstract Background Chronic hepatitis C (HCV) is a curable asymptomatic infection that can progress to liver failure and hepatocellular carcinoma if left untreated. The Canadian Liver Foundation (CLF) recommends one-time HCV screening in all Canadians born from 1945–1975. A large proportion of outpatient endoscopic procedures are for colon cancer screening in this birth cohort providing an opportunity for HCV screening and linkage to HCV care. Aims We aimed to assess the feasibility of developing a targeted birth-cohort HCV screening program in the outpatient endoscopy setting. Methods This is a cross-sectional study of patients born from 1945–1975 presenting to the outpatient endoscopy unit at Hotel Dieu Hospital in Kingston, Ontario in September, 2016. Patients were scheduled for upper endoscopy, colonoscopy, and/or sigmoidoscopy. All patients were given written information on HCV and the CLF recommendation of birth-cohort screening. Patients were then asked to complete a short survey regarding previous HCV screening and acceptance of being screened during their endoscopy visit. Results During a 30 day period, 95% (223/235) of eligible patients completed the survey. The cohort was 53% female with a median age of 59 years (IQR 52–66 years). 83% had either never been screened or were unaware of their HCV status. Overall, 87% of participants would be accepting of HCV screening during their endoscopy visit, 9% would not accept screening and 4% stated they were unsure. These results suggest that almost 2,000 patients could be targeted for HCV screening in the endoscopy unit annually. Conclusions Most patients born from 1945–1975 presenting for outpatient endoscopy have not been screened for HCV but are accepting of screening during their procedural visit. This identifies a target population for the development of an HCV screening program to increase HCV identification and facilitate linkage to HCV care. Funding Agencies None
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".