Appropriateness of testicular cancer management: a population-based cohort study.
Bibliographic record
Abstract
OBJECTIVE: Testicular cancer is a highly curable malignancy of young men. Appropriate and timely management is critical to ensure optimal clinical outcomes. A 3-year population-based review of testicular cancer patients in Manitoba, Canada was undertaken to evaluate our management patterns. METHODS: Men diagnosed with testicular cancer from 1998 to 2000 were identified from the Provincial Cancer Registry. Chart review was utilized to collect information on demographic characteristics, timelines of diagnostic and staging investigations, completeness of pathology reports, management, and outcomes. RESULTS: Seventy-eight men were identified with 80 testicular cancers: 46 (59%) patients had 48 seminomas and 32 (41%) had non-seminomatous germ cell tumors (NSGCT). One or more pre-operative tumor markers were missing or unavailable in 41 (52%) cases. Median time from scrotal ultrasound to orchiectomy was 7 days, but was greater than 2 weeks in 13 (16%) patients. Pathology reports provided acceptable detail in only 21 (27%) cases. Eighteen subjects (23%) did not complete necessary staging investigations (chest and abdominal imaging, and post-orchiectomy markers) until at least 3 weeks after surgery. Post-orchiectomy management of both seminoma and NSGCT patients was largely within acceptable limits apart from some non-standard chemotherapy choices in advanced stage disease, and significant departures from standard recommendations regarding surveillance. The Kaplan-Meier estimate of overall survival at 5 years is 97% in seminoma and 84% in NSGCT. CONCLUSIONS: Although clinical outcomes do not appear to have been compromised, deficiencies are evident in testicular cancer management in Manitoba from 1998 to 2000, indicating the need for well-defined management guidelines and improved education of caregivers.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".