Plasma free serotonin as a marker for early detection of breast cancer recurrence.
Bibliographic record
Abstract
AIM: To evaluate the significance of plasma free serotonin (5-hydroxytryptamine) and Ca15.3 for the early detection of breast cancer recurrence. MATERIALS AND METHODS: Free serotonin and Ca15.3 levels were measured by I-125-Serotonin RIA (DDV Diagnostica, Marburg, Germany) in plasma and an ELISA kit (Roche Diagnostic GmbH, Mannheim, Germany) in serum, respectively in women (N=29) who responded to primary treatment for breast cancer and who were followed-up for recurrence. For analysis, patients were sub-divided according to TNM staging into groups with localized (T1-2N0-M0) and advanced (T1-2N1-2M0-1) disease. The control group were healthy blood donors. RESULTS: Patients with advanced disease had a significantly higher plasma serotonin level than those with localized disease or controls, whereas Ca15.3 levels remained in normal range in all groups. At the time of serotonin measurement, radiological findings were negative for all patients in the localized-disease group, but positive in nine patients in the advanced-disease group. CONCLUSION: Plasma free serotonin may be used for the early detection of recurrent/metastatic breast cancer disease, but validation on a larger number of patients is needed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".