A blend of highly viscous polysaccharide decreases relative CVD risk in healthy individuals and those with diabetes and metabolic syndrome
Bibliographic record
Abstract
Objective To determine whether a single dietary modification, addition of the highly viscous polysaccharide PGX™ (Inovobiologic, Calgary), decreases relative risk of CVD. Methods 3 studies were carried out in healthy individuals or those with diabetes or metabolic syndrome. Results were analyzed using the Framingham equation. Studies: 11 subjects with type 2 diabetes (62±9 years), AHA Step 2 diet, insoluble fiber replaced by 0.5 g/100 Kcal of PGX, two 3‐week treatment phases with a 2‐week washout period. Compared to placebo, PGX significantly (p<0.05) reduced total/HDL cholesterol ratio and systolic blood pressure. 11 subjects with metabolic syndrome (55±4 years), PGX‐enriched biscuits (8–13 g/day) or wheat bran biscuits, two 3‐week treatment periods with a 2‐week washout. Decreases (p<0.05) in serum cholesterol, LDL, and cholesterol/HDL were observed during PGX treatment compared with control. 23 healthy normolipidemic individuals (35±12 years), metabolic diet, insoluble fiber replaced by 0.2 g/100 Kcal of PGX, randomized crossover study (phase duration 21 days and 7 days washout). Serum cholesterol, triglycerides, ApoB, LDL, cholesterol/HDL, and LDL/HDL significantly decreased (p<0.05) with PGX compared to control. Results Cardiovascular risk was reduced by 11% (from 1.03 to 0.93, p<0.05) in type 2 diabetic subjects, by 21% (from 1.04 to 0.86, p<0.05) in subjects with the metabolic syndrome, and by 31% (from 1.09 to 0.83, p<0.001) in healthy subjects. Conclusion Dietary supplementation with PGX improves CHD risk factors across the three population groups and reduces their relative risk of cardiovascular disease. Research Support: Inovobiologic, Calgary
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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 | 0.000 |
| 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 | 0.000 |
| 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".