P5300Prognostic implications of baseline and change from baseline values of plasma biomarkers that reflect extracellular matrix regulatory mechanisms and collagen synthesis in patients with heart failure
Bibliographic record
Abstract
Introduction: Myocardial fibrosis is an important pathophysiologic mechanism underlying the development of heart failure (HF). Plasma biomarkers that reflect mechanisms of extracellular matrix (ECM) homeostasis, collagen synthesis and profibrotic state have prognostic value in HF patients. Purpose: Examine association between rate of primary composite outcome (CV death or HF hospitalization) and biomarkers of ECM homeostasis and collagen synthesis in PARADIGM-HF. Methods: Biomarkers available at both baseline and 8 months after randomization in ≈ 1700 patients: aldosterone, sST2, TIMP-1, MMP-2, MMP-9, Gal-3, PINP, PIIINP. Baseline biomarker values and changes from baseline to 8 months were related to primary outcome. Results: Baseline values of sST-2, TIMP-1, and PIIINP were associated with primary outcome rate (Table). Change from baseline to 8 months in sST-2 and TIMP-1 was associated with primary outcome or CV death rate. ... Conclusions: Baseline and change from baseline values of biomarkers associated with profibrotic signaling have important prognostic value.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".