Cerebrospinal fluid gastrin releasing peptide in the diagnosis of leptomeningeal metastases from small cell carcinoma
Bibliographic record
Abstract
BACKGROUND: The clinical diagnosis of leptomeningeal metastases is often difficult to substantiate. Patients with an underlying malignancy typically present with neurologic symptoms referable to multiple levels of the neuraxis. Although most patients have an abnormal cerebrospinal fluid (CSF), less than 60% have evidence of malignant cells on cytologic examination from a single lumbar puncture, and the disease is usually advanced in patients with positive results. An elevated serum level of gastrin releasing peptide (GRP) in patients with small cell carcinoma has emerged as one of the most useful markers for disease activity. METHODS: A patient with small cell carcinoma presented with signs of meningitis and an abnormal CSF. However, the CSF gave repeatedly negative cytologic results. Hence, serum and CSF were analyzed for GRP. RESULTS: The CSF GRP level was elevated by more than six orders of magnitude above the serum level. An autopsy demonstrated extensive meningeal and parenchymal brain involvement by small cell carcinoma. CONCLUSIONS: The diagnosis of leptomeningeal metastases in patients with small cell carcinoma can be established by CSF GRP testing, even when cytologic examination is negative.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".