Abstract 716: High viral load is associated with poor postoperative survival in hepatitis B virus-related hepatocellular carcinoma
Bibliographic record
Abstract
Abstract Background & Aims: The aim of this prospective cohort study was to investigate the impact of preoperative hepatitis B viral load, as well as postoperative antiviral therapy, on the risk of long-term survival after curative resection of hepatitis B virus-related hepatocellular carcinoma (HCC). Methods A prospective cohort of hepatitis B virus-related HCC patients undergoing curative resection from 2001 to 2007 was studied. According to preoperative viral load (using 10,000 copies/mL of hepatitis B virus DNA level as cut-off value), two groups were compared. Prognostic factors for overall survival and recurrence-free survival were evaluated. Additionally, subgroup analysis was conducted in patients with high viral load to investigate prediction of postoperative antiviral therapy on the long-term prognosis. Results With a median follow-up of 49.1 months, patients with high viral load had lower median overall survival (78.3 months vs. 111.4 months, P < 0.001) and RFS (44.6 months vs. 94.8 months, P < 0.001) compared with those with low viral load. Multivariate analysis revealed that preoperative high viral load was an independent risk factor affecting both overall survival and recurrence-free survival (both P < 0.001). The subgroup analysis revealed that postoperative antiviral therapy independently improved recurrence-free survival for patients with high viral load (P = 0.001). Conclusions Hepatitis B virus-related HCC patients with preoperative high viral load led to poorer overall and recurrence-free survival than those with low viral load after curative resection. To prevent postoperative recurrence, antiviral therapy should be initiated in those patients with hepatitis B virus DNA ≤ 10,000 copies/ml. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 716. doi:1538-7445.AM2012-716
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".