Radiofrequency Ablation versus Surgical Resection in Elderly Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Although the disease burden of elderly cancer patients is rapidly increasing, reliable scientific information, value and preference information of domestic patients, and standardized guidelines for determining the treatment of elderly cancer patients are lacking. The aim of this study is to compare the therapeutic effects of radiofrequency ablation (RFA) and surgery in hepatocellular carcinoma (HCC) patients aged 65 years or older. For the meta-analysis, the databases including PubMed (MEDLINE), EMBASE, OVID Medline, and the Cochrane Library were systematically searched. After the abstract-based review by two investigators, selected manuscripts were read in detail. The surgery group showed higher overall survival (OS) (HR 1.44, 95% CI 1.22-1.70) and disease-free survival (DFS) (HR 1.40, 95% CI 1.00-1.97) than the RFA group. This was also shown in small HCC of less than 3 cm (OS, HR 1.42, 95% CI 1.00-2.03; DFS, HR 1.32, 95% CI 0.91-1.91). This might be related to the high local recurrence in the RFA group (OR 4.90, 95% 2.16-11.08). On the other hand, adverse events were significantly lower in the RFA group (OR 0.22, 95% CI 0.14-0.36), which led to a decrease in the duration of hospital stay (mean difference -14.88 days, 95% CI -22.44--7.32). In elderly HCC patients, survival in the surgery group was significantly higher than in the RFA group, but various complications tended to increase; so, appropriate patient selection is required.
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.029 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".