Observations of hepatocellular carcinoma (HCC) management patterns from the global HCC bridge study: First characterization of the full study population.
Bibliographic record
Abstract
4033 Background: HCC is a major health problem across the world. The global HCC BRIDGE study is the first global, large-scale, observational study to document the real-world experience of HCC patients from diagnosis to death. Methods: This longitudinal cohort study (started March 2009) includes HCC patients newly diagnosed between January 2005 and June 2011 and treated at major medical centers, with data collected retrospectively and prospectively as recorded in patient charts. Full patient enrollment is expected at the end of January 2012. Results: At the time of the first interim analysis (July 2011), 12,442 treated HCC patients were enrolled at 42 sites in Asia (n=8909, 72% [China: n=6295, 71%; Japan: n=295, 3%]), Europe (n=2040, 16%) and North America 1493 (n=1493, 12%). Mean age was 57 years; 82% were male. The predominant risk factor was HBV in Asia (76%) and HCV in Europe (48%), North America (45%) and Japan (69%). Most patients were diagnosed without surveillance (Asia, 82%; Europe, 73%; North America, 69%; Japan, 64%). In Asia, Europe and North America, the predominant BCLC stage at diagnosis was C (48%, 46%, 46%) followed by A (34%, 28%, 26%). First recorded treatments in Asia, Europe and North America were resection (31%, 15%, 21%), transplantation (1%, 3%, 1%), TACE (49%, 30%, 36%), other locoregional therapy (12%, 35%, 23%) and systemic therapy (3%, 10%, 8%). Treatments ever used (2005–2011) in Asia, Europe and North America were resection (33%, 17%, 24%), transplantation (2%, 6%, 12%), TACE (57%, 35%, 48%), other locoregional therapy (20%, 42%, 37%) and systemic therapy (9%, 20%, 21%). These results will be updated with data from the full study population (approx. 19,000 patients), and preliminary survival data will be presented. Conclusions: As the largest study of its type, in 19,000 patients worldwide, the HCC BRIDGE study provides valuable insights into global HCC disease characteristics and patient management. Based on prior analyses, differences in risk factors among regions confirm well-known trends, while other observed differences (e.g., treatment variations) may be related to country- and site-specific practices and patient characteristics.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".