Outcomes of progression on surveillance for clinical stage I nonseminomatous germ cell tumours (NSGCT).
Bibliographic record
Abstract
377 Background: Active surveillance (AS) is universally accepted for clinical stage (CS) IA and favoured by most centers for CSIB. Patients progressing on AS are typically treated with chemotherapy, but there is no consensus. We describe patterns and mode of detection of progression and treatment of progression in our NSGCT AS cohort. Methods: From Dec 1980 to Aug 2011, 466 CSI NSGCT patients were managed with AS and 133 (28%) had disease progression while on AS. Treatment upon progression was physician choice but based on site of progression (e.g. retroperitoneum vs. extra-retroperitoneal), size or multifocality, and markers (S0 or stable, low level S1 vs. ≥ S1). Mode of detection of progression, characteristics at progression and primary treatment of progression (chemotherapy vs. retroperitoneal lymphadenectomy (RPLND)) were explored. Multivariate logistic regression was used to explore factors associated with receipt of more than one therapy in treatment of progression after surveillance. Results: Median time to progression was 7.3 months and detected by routine imaging (47%), routine serum tumour markers (37%), or both (12%). Progression most frequently occurred in the retroperitoneum (67%). Following progression, first-line treatment was chemotherapy for 71 (53%), RPLND for 51 (38%) and 11 (8.3%) underwent other therapy. In 59%, only one modality of treatment was required: chemotherapy only in 42/71 (59%); RPLND only in 36/51 (71%). For those treated with chemotherapy, pure embryonal carcinoma in the orchiectomy pathology (OR 0.11; p=0.05) was inversely associated with requiring further therapy. For those treated with RPLND, elevated markers pre-RPLND (OR 7.31; p=0.01) was associated with requiring further therapy. Overall, a second relapse occurred in 25/133 (19%) patients. With a median follow-up of 8.2 years, there were 5 deaths from testis cancer (3.8% of AS progressors; only 1.1% of overall AS cohort). Conclusions: The majority of patients progressing on surveillance do so in the retroperitoneum and within the first year. Of those that progress, most will achieve complete response with single modality treatment. In particular, RPLND can be utilized as monotherapy in select cases.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".