Prognostic role of plasma Epstein-Barr virus DNA load for nasopharyngeal carcinoma: a meta-analysis
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: Predicting prognosis and treatment outcomes for patients with for nasopharyngeal carcinoma (NPC) has been difficult due to the heterogeneous nature of the disease This study aimed to evaluate pretreatment copy number of plasma Epstein-Barr virus (EBV) DNA as an outcome marker for survival in NPC. METHODS: MEDLINE, CENTRAL and Embase databases were searched until April 7, 2015. Included studies were randomized controlled trials, two-arm prospective studies, or retrospective studies in patients with newly diagnosed NPC. The primary outcome was overall survival and secondary outcomes were progression-free, relapse-free, disease-free and distant metastasis-free survival. Sensitivity, quality and publication bias assessments were performed. RESULTS: Sixteen studies were included in the meta-analysis, with a total of 7698 patients. For overall survival, pooled HR was 3.005 (95% confidence interval [CI] = 2.245-4.022; P < 0.001), indicating that higher levels of EBV DNA were associated with a greater risk of death. Pooled estimates for relapse-free, disease-free, progression-free and distant metastasis-free survival indicated that higher levels of EBV DNA were associated with an increased risk of relapse, disease recurrence, disease progression and distant metastasis in comparison with lower levels of EBV DNA (P values < 0.001). CONCLUSION: This meta-analysis found that high EBV DNA levels indicate poor prognosis and reduced long-term survival in patients with newly diagnosed NPC; hence, EBV DNA levels are highly prognostic of survival in patients with NPC. None of the included studies used the WHO standard for EBV DNA measurement, indicating a greater need for harmonization in future studies.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.016 | 0.004 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.011 |
| Scholarly communication | 0.000 | 0.000 |
| 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