Nahrungsergänzungsmittel bei Diabetes
Bibliographic record
Abstract
Abstract Dietary supplements are defined as foods intended to complete the general diet especially in special metabolic situations like pregnancy or vitamin deficiencies. Furthermore, dietary supplements seem to get increasingly important with regard to prevention and management of diabetes. So far the German, European and Canadian Diabetes Associations as well as the Diabetes Associations of the US and UK do not give specific recommendation for dietary supplements to reduce the risk of diabetes or improve the glycemic control in patients with diabetes. By assessing new findings, the present article gives a literature overview based on comprehensive meta-analyses of selected dietary supplements, which are frequently discussed in combination with diabetes. Currently, there is a consensus that a balanced diet ensures a sufficient supply of micronutrients. Current studies on the use of magnesium, chrome, selenium, vitamin D, vitamin E and omega-3 fatty acids in people with increased risk of diabetes or manifest diabetes showed inconsistent results. Therefore, further randomized controlled trials with sufficient number of participants are necessary in order to provide concrete evidence-based recommendations.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".