Investigation of the Role of Serum Matrix Gla-Protein as a Biomarker of Calcific Aortic Valve Disease
Bibliographic record
Abstract
Background: Calcific aortic valve disease (CAVD) is a major contributor to cardiovascular morbidity and mortality. Circulating total uncarboxylated Matrix ?-carboxyglutamate (Gla) protein (t-ucMGP) is a promising biomarker for rapid screening of subjects prone to cardiovascular calcification who may need more invasive vascular diagnostics. Preliminary data show that low t-ucMGP levels are indicative for prevalent vascular calcification. Hence, the aim of our study was to investigate the possible role of circulating t-ucMGP as a biomarker may help in identification patients with CAVD, taking into consideration that CAVD is a form of vascular calcification.Methods & Materials: We analyzed serum t-ucMGP levels by enzyme-linked immunosorbent assay (ELISA) in 50 patients with echocardiographically proven CAVD and 21 control subjects.Results: Serum t-ucMGP levels were significantly lower in patients with CAVD (29.29±12.18 nmol/l) compared to the control group (36.84±21.79 nmol/l, p = 0.003).Conclusion: Serum t-ucMGP may help as a noninvasive biomarker for identification of these patients.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".