Could grape-based food supplements prevent the development of chronic kidney disease?
Bibliographic record
Abstract
Chronic kidney disease (CKD) is a global health challenge due to its high prevalence, and it increases the risk of development of end-stage renal disease. Although the pathophysiology of CKD is complicated and has not been fully understood, the elevated oxidative stress is considered to play a central role in the development of this disease, thus it becomes an attractive target for CKD prevention or management. The grape extract is one of the rich sources of antioxidants. Literature demonstrates that the consumption of grape antioxidants has significant benefits to the reduction of oxidative stress in different health conditions. In this article, we reviewed the role of the oxidative stress in CKD pathophysiology, and both the preclinical and clinical findings of anti-oxidative activity of proanthocyanidins in grape extracts (catechin, epicatechin, procyanidin B1 and procyanidin), particularly in subjects with CKD. It has been shown that grape-based antioxidants have beneficial effects on chronic metabolic diseases such as diabetes and hypertension, and may also prevent the development of CKD and cardiovascular disease.
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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 | 0.001 |
| 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".