A case of metastatic adenocarcinoma of the prostate arising in a meningioma
Bibliographic record
Abstract
We present the case of a 70-year-old man who had a prostate adenocarcinomathat metastatized to a previously unknown cranialmeningioma. Central nervous system (CNS) metastases are veryuncommon in patients with prostate cancer, and metastases topre-existing primary CNS tumours are even more uncommon. Rareevents like this can cause diagnostic uncertainty, as shown by thiscase. This case is a reminder for clinicians to consider prostatemetastases in patients with known prostate carcinoma and focalneurological symptoms.Nous décrivons le cas d'un homme de 70 ans présentant un adénocarcinomemétastatique de la prostate secondaire à un méningiomeintra-crânien non diagnostiqué auparavant. Les métastasesau niveau du SNC sont très rares chez les patients atteints de cancerde la prostate et les métastases sont encore plus rares dansle cas de tumeurs primitives pré-existantes au niveau du SNC.La rareté de ces cas peut soulever des incertitudes au niveau dudiagnostic, comme nous le montrerons. Ce cas permet de rappeleraux cliniciens d'envisager la possibilité de métastases chezles patients atteints d'un carcinome prostatique confirmé et présentantdes signes neurologiques focaux.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".