Testicular microlithiasis in patients with testicular cancer in the United Kingdom and in Denmark.
Bibliographic record
Abstract
INTRODUCTION: Testicular cancer is the most common type of cancer in young Caucasian men. It has been suggested that testicular microlithiasis (TML) is a premalignant condition. This study's objective was to investigate TML histology prevalence in testicular cancer patients in two European populations. METHODS: We analysed archived histopathology orchiectomy specimens from 152 patients diagnosed with testicular cancer at Fredericia Hospital in Denmark from 2004 to 2014, and 106 patients diagnosed at St Thomas' Hospital in London from 2011 to 2015. RESULTS: The Danish patients' median age was 37 years (range: 16-74 years) and the English patients' 36 years (range: 18-78 years). In the Danish patients, 29 (19.1%) had TML, and in the English patients, 43 (40.6%) had TML (p < 0.001). Haematoxylin bodies were slightly more common in the English patients. Laminated calcification was more often seen in seminomas than in non-seminomas. CONCLUSIONS: The English testicular cancer patients had a statistically significantly higher TML prevalence than the Danish patients. This observation questions the hypothesised biological association between TML and testicular cancer. FUNDING: The Region of Southern Denmark supported this study. TRIAL REGISTRATION: not relevant.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".