New treatments for stage I testicular cancer.
Bibliographic record
Abstract
Clinical stage I represents the most frequent presentation of both seminoma and nonseminoma testicular cancer. Despite a survival rate of close to 100%, the management of patients with this disease stage is controversial. The recurrence rate is 10% to 20% for patients with stage I seminoma and 15% to 50% for those with stage I nonseminoma. A highly sensitive and specific biomarker of relapse that is applicable to both seminoma and nonseminoma, and able to drive a definitive risk-adapted management of the patients, still is not available. Lymphovascular invasion (LVI) in the orchiectomy specimen has been used as a risk factor in patients with stage I nonseminoma. However, with a risk of recurrence of 50% for LVI-positive patients and 15% for LVI-negative patients, the discriminative power of LVI is modest at best. Various management options exist. In the absence of a predictive biomarker for recurrence, active surveillance avoids overtreatment in 50% to 85% of patients, with no risk of long-term side effects in nonrelapsing patients and a preserved overall survival of almost 100% after specific treatment for recurrent disease. However, although active surveillance has been accepted as the preferred option for stage I seminoma and low-risk stage I nonseminoma, its role in high-risk stage I nonseminoma remains controversial.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.043 | 0.011 |
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".