Pharmacotherapy of relapsed metastatic testicular cancer
Bibliographic record
Abstract
BACKGROUND: Patients with metastatic testicular cancer exhibit an excellent prognosis. However, the outcome for patients with relapse after cisplatin-based chemotherapy remains unsatisfactory. Several larger studies have been recently published. OBJECTIVE: To review the treatment of patients with testicular cancer after failure of first-line chemotherapy. METHODS: A literature search was performed for studies investigating therapies for relapsed testicular cancer. RESULTS/CONCLUSIONS: The prognosis of patients relapsing after first-line cisplatin-based chemotherapy has improved with multimodality therapy, including conventional and high-dose chemotherapy, surgery and radiation. Prognostic factors are increasingly used to guide treatment intensity. High-dose chemotherapy has become an accepted treatment option, in particular in patients with poor risk factors at relapse. The outcome of patients with multiply relapsed or cisplatin-refractory disease remains particularly poor. Treatment of relapsed patients requires a close cooperation of medical oncologists, urologists, surgeons and radiation oncologists with extensive experience in this disease.
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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) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".