Comparison of CA-125 and Standard Definitions of Progression of Ovarian Cancer in the Intergroup Trial of Cisplatin and Paclitaxel Versus Cisplatin and Cyclophosphamide
Bibliographic record
Abstract
PURPOSE: A definition for progression of ovarian cancer has been proposed based on either a confirmed doubling of CA-125 levels from the upper limit of normal or from the nadir level if levels are persistently elevated. Retrospectively, we determined whether the use of this CA-125 definition in a randomized trial would have shown the same magnitude of difference between the treatment arms as was shown when the standard progression definition was used. PATIENTS AND METHODS: A retrospective analysis was performed on 680 patients in the Taxol Intergroup Trial with advanced epithelial ovarian carcinoma, of whom 628 were assessable according to CA-125. The date of progression according to clinical or radiologic criteria was compared with the date of progression according to CA-125. RESULTS: Of the 628 patients assessable for both definitions, 556 clinical or radiologic progressions were determined compared with 389 according to the CA-125 definition. There was a highly significant difference in the hazard of progression between the paclitaxel and cisplatin arm (TP) compared with the cyclophosphamide and cisplatin arm (CP) when either standard or CA-125 criteria were used to define progression (standard, P = .002; CA-125, P = .011). The hazard ratio of TP/CP over time was similar when comparing the different methods of defining progression. CONCLUSION: The results of this analysis show that the magnitude of the therapeutic benefit was similar whether CA-125 or standard criteria were used to define progression.
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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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".