Clinical use of high mobility group box 1 and the receptor for advanced glycation end products in the prognosis and risk stratification of heart failure: a literature review
Bibliographic record
Abstract
Heart failure (HF) is a clinical syndrome that represents the end stage of heart disease and remains the leading cause of morbidity and mortality worldwide. As heart failure mortality rates remain elevated, additional biomarkers that facilitate early detection or risk stratification in HF is of particularly great interest. High mobility group box 1 (HMGB1) and receptor for advanced glycation end products (RAGE) cause the activation of intracellular signaling, gene expression, and production of inflammatory cytokines and have been linked to many inflammatory disease states such as diabetes mellitus and atherosclerosis. Few studies have investigated their role in the pathophysiology of HF and any significant correlation remains uncertain. Review of the available literature discussing HMGB1 and RAGE clinical values as independent prognostic variables in HF resulted in the inclusion of 11 studies, which enrolled a total of 2025 heart failure patients. Overall, the data suggests a statistically significant positive correlation between RAGE and HF, with increasing RAGE levels associated with increasing New York Heart Association (NYHA) functional class of heart failure. HMGB1 correlations were not as extensively studied, but there is evidence that both HMGB1 and RAGE have a definite potential as biomarkers for the prognosis and risk stratification of HF patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".