Treatment of advanced ovarian cancer with carboplatin and paclitaxel in a patient undergoing hemodialysis: Case report and literature review
Bibliographic record
Abstract
A 69-year-old woman under maintenance hemodialysis was diagnosed with advanced ovarian cancer. We treated the patient with combination chemotherapy using paclitaxel and carboplatin. She experienced grade 4 thrombopenia on day 8 of the third course. The area under the concentration versus time curve (AUC) of platinum was 3.5 mg/ml·min. The interval between chemotherapy and hemodialysis was shortened starting with the fourth course. The AUC of platinum was then found to be 1.8 mg/ml·min. After seven courses of chemotherapy, the patient's CA 125 serum level dropped from 1317 to 42.6 U/ml. Nevertheless, the patient presented with long periods of severe myelosuppression. In patients on hemodialysis receiving such chemotherapy, the AUC of each cycle should be closely monitored and the dialysis schedule should be adjusted as need to reduce the risk of bone marrow suppression.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".