Stage I seminoma: What should a practicing uro‐oncologist do in 2009?
Bibliographic record
Abstract
Testicular tumors are uncommon, but they continue to represent an important group of malignancies in young men. It is the most common solid malignancy in males between the ages of 20 and 35, and primary germ cell tumors are the most common histological type. In the United States in 2008, approximately 4800 cases of seminoma, approximately 4100 of which were stage I disease were projected after the completion of staging investigations. Remarkable progress has been made in the treatment of testicular seminoma over the past 25 years. Management options of stage I seminoma include radiotherapy, surveillance, or adjuvant chemotherapy. Standard management until recent years has been adjuvant retroperitoneal radiotherapy. Although providing excellent long term results, this approach has been associated with increased risk of gonadal toxicity, development of secondary malignancies and an increased risk of cardiovascular disease. The use of surveillance in management of patients with stage I seminoma is therefore becoming more frequent as it minimizes the burden of treatment and maintains the cure rate at virtually 100%. Adjuvant chemotherapy using Carboplatin has been investigated as an alternative management approach. However, the long term outcomes of patients managed with Carboplatin are not yet clear and this strategy should only be used in a study setting. It has been suggested that more patients with stage I seminoma will die of their treatment than of their cancer; therefore, the thrust of modern management should be to maintain 100% cure while minimizing the burden of treatment.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".