Implementation of a hepatitis B screening program in patients receiving systemic anti-cancer therapy: A Canadian single center retrospective review.
Bibliographic record
Abstract
e23242 Background: Cancer patients receiving non-endocrine anti-cancer therapies are at risk of hepatitis B virus (HBV) reactivation (HBVr). Medical society guidelines recommend HBV screening prior to treatment, but real-world uptake is slow and variable. The Ottawa Hospital Cancer Centre implemented a screening pilot program for all patients receiving FOLFOX based regimens or FOLFOXIRI between January and April 2023 which included incorporating HBV screening tests into treatment plan builds and specifying pharmacy and nursing pre-treatment checks. Methods: Charts were retrospectively reviewed, and patient and disease characteristics were collected. The primary endpoint was to identify the proportion of patients who underwent screening prior to treatment start. Univariate analyses assessed the association between baseline characteristics and failure to screen. We also reviewed quality metrics including time from consult to testing, time to result, number of duplicate screens, and treatment delays due to testing. Results: Baseline demographics of the 42 patients included can be found in Table 1. 32 patients (76.2%) completed screening and 5 (15.6%) had a positive screen. The majority of patients screened (78.1%) completed screening prior to first treatment as intended, however 38.1% were drawn on day of treatment. 9.52% of patients had duplicate screening inadvertently. All patients who tested positive were referred to Infectious Diseases. Of those, 1 received antivirals for chronic HBV, and 4 had resolved HBV and were recommended for monitoring. There were no treatment delays due to pending screening and no HBVr. Receipt of prior systemic therapy was significantly associated with failure to screen (55% vs 95%, OR 17.1 (95% CI 1.92-153), p = 0.011). Factors including age, sex, primary disease site, therapy intent, and regimen received were not significantly associated with screening completion or HBV positivity. Conclusions: The results of this pilot highlights the importance of building HBV screening into standardized treatment plans and engaging all team members to ensure high levels of screening. Prior systemic therapy receipt was associated with failure to screen, and thus programs should include education on the necessity of screening as recommended by medical guidelines. The prevalence of HBV in this population may also be higher than previously expected, which should be explored in future research. [Table: see text]
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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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.019 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".