Application of the International Germ Cell Consensus Classification (IGCCC) to the Nova Scotia population of patients with germ cell tumors (GCT)
Bibliographic record
Abstract
14625 Background: The IGCCC is the internationally accepted, clinically based, prognostic classification used to aid in the management of GCT. The goal of this study was to determine if the IGCCC is applicable to a population based cohort. Methods: A retrospective chart review of all patients diagnosed with GCT in NS between 1984–2004 was completed, and IGCCC classification (good, intermediate, poor) was assigned to each patient based on the site of the primary lesion, the presence or absence of non-pulmonary visceral metastases and pre-chemotherapy tumor marker values. Kaplan-Meier estimates of five year progression free survival (PFS) and overall survival (OS) were calculated for each IGCCC group, for both non-seminomatous GCT and seminomatous GCT. Results: The distribution, PFS and OS are shown below. Conclusions: The IGCCC seems applicable to a population-based cohort, with similar distribution of categories, as well as clear prognostic ability. This project was funded by a Norah Stephen Oncology Scholars Summer Studentship Grant from Cancer Care Nova Scotia. [Table: see text] [Table: see text]
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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 | 0.001 | 0.004 |
| 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 | 0.000 | 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".