[New regimens for the treatment of gynecologic cancers].
Bibliographic record
Abstract
Until the late-1980s, combination CDDP (or CBDCA)/cyclophosphamide (CPA) and CDDP (or CBDCA)/CPA/adriamycin (ADM) were the two most common choices for treating patients with ovarian cancer. In the last several years, the identification of paclitaxel (TXL) activity in previously treated ovarian cancer patients has led to its incorporation into primary chemotherapy regimens for newly diagnosed patients. Based on prospective trials by the Gynecologic Oncology Group (GOG) and European-Canadian investigators, CDDP/TXL became the new standard regimen in 1998. Now, three randomized trials by the GOG (158), AGO, and a Dutch group comparing CDDP/TXL and carboplatin (CBDCA)/TXL are also in progress. These study groups recommended that CBDCA/TXL be used as the standard regimen in 1999 because CBDCA/TXL is less toxic, allows a better quality of life during treatment, and results in an equivalent response rate and progression-free survival. In patients with high-risk corpus cancer, clinical trials comparing platinum/TXL or platinum/ADM/TXL versus platinum/ADM are in progress. In Japan, CPT-11/CDDP has been shown to be an effective and safe regimen in patients with advanced ovarian cancer, especially clear cell carcinoma and cervical cancer.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.038 | 0.031 |
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".