Editorial: Endocrine-related cardiovascular diseases: Recent advances in diagnosis and treatment
Bibliographic record
Abstract
calMR, Chronic coronary syndrome (CCS), thyroid hormones and carotid plaque, essential hypertension (HTN)Editorial on the Research Topic Endocrine-related cardiovascular diseases: Recent advances in diagnosis and treatment Cardiovascular diseases (CVDs) are a group of diverse pathological conditions of the heart and the vascular system with different etiology.CVDs are the number one cause of human mortality and per the WHO's latest estimates, 32% of global mortality is due to cardiovascular-related diseases (WHO, 2022).The cardiovascular system (CVS) is greatly influenced by our endocrine system in multiple ways, ranging from the regulation of blood pressure through an intricate network of hormonal signaling involving the Renin-Angiotensin system (RAS) to the positive or negative chronotropic effect (1).Several decades of painstaking research have helped us to understand these regulations in detail to a large extent with more and more facets being discovered every year.These efforts have helped in designing new diagnostic and therapeutic approaches to tackle life-threatening cardiovascular complications.This editorial summarizes the contribution to the special issue of Frontiers of Endocrinology "Endocrine-related Cardiovascular Diseases: Recent Advances in Diagnosis and Treatment".This issue was launched with the aim to provide a platform for the research community working in the areas of CVDs to share their findings on our recent understanding of the role of the endocrine system in CVDs, its diagnosis, and treatment.A total of five articles; four original and one systematic review were selected for publication among the numerous submissions received.A brief summary of each contribution is highlighted below.Diabetes often leads to secondary complications, impacting almost all vital organs.The impact of diabetes on kidney and heart function is well documented.In the first article that was accepted for publication, Gan et al. explored the relationship between lipocalin-2 (LCN-2), an acute phase protein released by neutrophils in response to multiple stresses (2) and carotid atherosclerotic plaque (CAP) and diabetic nephropathy (DN) in 749 type II diabetic patients. Their study revealed a significant association between the high serum levels of LCN-2 and CAP orFrontiers in Endocrinology frontiersin.
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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 | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.005 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.010 | 0.014 |
| Insufficient payload (model declined to judge) | 0.033 | 0.029 |
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".