MINIMIZING TREATMENT WITHOUT COMPROMISING CURE WITH PRIMARY SURVEILLANCE FOR CLINICAL STAGE I EMBRYONAL PREDOMINANT NONSEMINOMATOUS TESTICULAR CANCER: A POPULATION BASED ANALYSIS FROM BRITISH COLUMBIA
Bibliographic record
Abstract
PURPOSE: We evaluated the outcome of patients with embryonal carcinoma predominant (ECP) clinical stage (CS) I nonseminomatous testicular germ cell tumors (NSGCT) treated with primary surveillance or primary retroperitoneal lymph node dissection (RPLND). MATERIALS AND METHODS: This study was a retrospective evaluation of the pathology, use of chemotherapy, surgery and outcomes in all patients with CS I NSGCT who were diagnosed within the province of British Columbia between 1990 and 2000. RESULTS: A total of 205 patients were identified, of whom 107 (52%) had ECP disease. Of these patients 72 (67%) underwent primary surveillance, 32 (33%) underwent primary RPLND and 3 refused treatment. Median followup was 4 years (range 1 to 10). In the primary surveillance group 24 patients (33%) had relapse and all were treated initially with chemotherapy with 6 also requiring RPLND. The remaining 48 patients (67%) in the surveillance group were cured of disease with orchiectomy alone. In the primary RPLND group 18 patients (56%) had pathological stage I disease and 14 (44%) had pathological stage II disease. In the primary RPLND group 15 patients (46%) required chemotherapy with 11 (34%) receiving adjuvant chemotherapy and 4 receiving chemotherapy for post-RPLND relapse. No deaths from ECP testicular cancer occurred in either group. The 4-year chemotherapy-free survival rate was 65% in the surveillance group vs 50% in the RPLND group (p = 0.2). CONCLUSIONS: For appropriately selected patients with CS I ECP NSGCT, primary surveillance results in fewer therapeutic interventions compared to RPLND without compromising the probability of cure.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".