Utility of serum tumor markers during surveillance for stage I seminoma
Bibliographic record
Abstract
BACKGROUND: The serum tumor markers α-fetoprotein (AFP), β-human chorionic gonadotropin (HCG), and lactate dehydrogenase (LDH) are often measured as part of surveillance protocols in patients with stage I seminoma. In this study, the authors evaluated the utility of routine measurement of these markers in the detection of disease relapse. METHODS: Data were gathered from a prospectively maintained database of patients who underwent surveillance for stage I testicular seminoma diagnosed between 1982 and 2005 at Princess Margaret Hospital. Patients were followed on a predefined schedule with physical examination (PE), serum tumor markers, abdominopelvic computed tomography, and chest x-rays. The records of patients who relapsed were examined for details of imaging and serum tumor markers throughout the period of follow-up until the time of relapse. RESULTS: Of the 527 patients who were managed by surveillance, 75 patients (14%) relapsed at a median follow-up of 72 months. Of these, 65 patients relapsed within the first 3 years and had routine serum tumor markers measured. In total, 11 patients had abnormal tumor markers at the time of relapse (AFP, 0 patients; HCG, 6 patients; LDH, 4 patients; and HCG and LDH, 1 patient). Only 1 patient had an elevated tumor marker (LDH) before relapse, as defined by an abnormal imaging study (n = 64) or physical examination (n = 1), for which the treatment and outcome were not affected. CONCLUSIONS: Serum tumor marker levels did not aid in the early diagnosis of disease relapse in patients with stage I seminoma who were managed with surveillance. The current results indicated that routine measurement of serum tumor markers can be discontinued safely in seminoma surveillance schedules.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 teacher head, 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".