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Investigation of the Role of Serum Matrix Gla-Protein as a Biomarker of Calcific Aortic Valve Disease

2019· article· en· W3211504787 on OpenAlexvenueno aff
Amal Al Nawasreh, Hussam Eddin Shebli, Sahar Fahoum

Bibliographic record

VenueJournal of Pharmacy and Nutrition Sciences · 2019
Typearticle
Languageen
FieldNursing
TopicVitamin K Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMatrix gla proteinBiomarkerMedicineCalcificationInternal medicineAortic valveDiseaseCardiologyBiochemistryBiology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.246

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.040
GPT teacher head0.369
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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