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Record W7132976036

The effect of oat beta-glucan on glycemia and blood lipid risk factors for cardiovascular disease

2007· dissertation· W7132976036 on OpenAlexafffund
Shirin Panahi

Bibliographic record

VenueTSpace · 2007
Typedissertation
Language
FieldNursing
TopicFood composition and properties
Canadian institutionsCanadian Nutrition SocietyLibrary and Archives Canada
FundersUniversity of Alberta
KeywordsPostprandialGlycemicDiabetes mellitusDiseaseBlood lipidsType 2 diabetesAvenaCoronary heart disease
DOInot available

Abstract

fetched live from OpenAlex

There is existing evidence on the ability of oat beta-glucan to attenuate blood glucose levels and decrease cholesterol concentrations in efforts to reduce the risks for type 2 diabetes and cardiovascular disease. It is unclear whether the effect of various processing conditions on the physicochemical properties of oat beta-glucans, such as viscosity, the dose of beta-glucan and mode of administration influence hyperglycemia and hyperlipidemia. This project evaluates the effect of beta-glucan from an oat concentrate on postprandial glycemia in healthy individuals and blood lipids in hyperlipidemic individuals. The results indicate that using an enzymatic processing method to concentrate beta-glucan from oats produces a highly viscous product that demonstrated positive effects on glycemic control. Furthermore, oat beta-glucan also showed lipid-lowering effects when ingested daily with a diet low in fat and cholesterol. These will all be positive for coronary heart disease risk reduction.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.014
GPT teacher head0.299
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2007
Admission routes2
Has abstractyes

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