Hepatitis B reactivation in patients with solid tumors: A systematic review and meta-analysis.
Bibliographic record
Abstract
138 Background: Hepatitis B virus (HBV) affects over 250 million people worldwide. Most people with chronic HBV (HBsAg positive) have no signs or symptoms of infection. However, when exposed to immunosuppression they are at risk of HBV reactivation which can cause hepatitis, liver failure and death. The risk of HBV reactivation in patients receiving chemotherapy for solid tumors, the efficacy of antiviral prophylaxis, and the clinical impact of HBV reactivation in this setting are uncertain. Primary Aim: To estimate the risk of clinical HBV reactivation (increased HBV DNA + transaminitis) among HBsAg-positive patients administered chemotherapy for a solid tumor. Secondary Aims: To estimate the efficacy of anti-viral prophylaxis and the risk of death from HBV reactivation in patients receiving chemotherapy for solid tumors. Methods: A systematic review and meta-analysis of the English language literature on HBV reactivation was completed (OVID Medline, 1946 to Aug 2013). All citations were reviewed by two or more authors. Data from patients with hematologic malignancies were excluded. Pooled probabilities of HBV reactivation risk, death from HBV reactivation, and odds ratio for the impact of anti-viral prophylaxis were estimated with a random effects model. Results: 2,667 citations were identified; 19 were eligible for inclusion. The pooled estimate for clinical HBV reactivation in HBsAg-positive patients receiving chemotherapy for a solid tumor was 21.9% (95% CI; 16.5% to 27.3%) in those not receiving anti-viral prophylaxis, and 2.4% (95% CI 0.7% to 4.2%) in those receiving anti-viral prophylaxis. The odds ratio for clinical HBV reactivation with antiviral prophylaxis compared to no prophylaxis was 0.12 (95% CI 0.06 to 0.25). In the absence of viral prophylaxis, the risk of dying from HBV reactivation in HBsAg-positive solid tumor patients was estimated at 1.3% with a 95% CI of 0.3% to 2.3%. Conclusions: Patients with chronic HBV who are administered chemotherapy for a solid tumor appear to be at substantial risk of clinical HBV reactivation; this risk may be mitigated by anti-viral prophylaxis. In the absence of anti-viral therapy, patients may experience a small but important risk of dying from HBV reactivation.
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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 | 0.008 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.031 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".