Hepatitis B Screening Before Chemotherapy: A Survey of Practitioners' Knowledge, Beliefs, and Screening Practices
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Hepatitis B virus (HBV) reactivation is a potentially fatal complication of chemotherapy that can be largely prevented with medication, provided that asymptomatic HBV carriers are identified. We explored the knowledge, beliefs, and practices of Canadian oncologists/hematologists regarding HBV screening before chemotherapy. METHODS: A novel questionnaire was mailed to all practicing hematologists/oncologists, where publicly accessible online physician registries facilitated identification of these specialists (71% of the Canadian physician population). RESULTS: Of 504 potentially eligible practitioners, 311 (62%) responded, of whom 246 indicated that they administered chemotherapy and were thus included in final analyses. Respondents tended to underestimate the risk of HBV reactivation, and recognition of the major risk factor for HBV carriage (ie, birth in an endemic area) was low. Forty percent of respondents reported rarely or never testing for HBV before chemotherapy, and 36% reported screening only those patients with HBV risk factors. In multivariate analysis, having a predominantly hematologic practice, practitioner experience with HBV reactivation, ability to correctly estimate the risk of HBV reactivation, fewer years in practice, and female sex were independently associated with an increased likelihood of screening for HBV. CONCLUSION: Canadian oncologists and hematologists tend to underestimate the risk of HBV reactivation and report relatively low HBV screening rates. Among those practitioners who do screen, the favored strategy is selective screening of patients with HBV risk factors. However, oncologists'/hematologists' knowledge regarding risk factors for HBV carriage seems to be low, potentially undermining the success of a selective screening strategy.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it