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Record W7009756182

Evidence for a Whole Grains and Coronary Heart Disease Health Claim

2013· other· en· W7009756182 on OpenAlexaboutno aff

Bibliographic record

VenueContact-less Assessment of In-vivo Body Signals Using Microwave Doppler Radar (InTech) · 2013
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101Gestational periodHyporeflexiaSubpoenaHemopericardium
DOInot available

Abstract

fetched live from OpenAlex

A systematic review was undertaken to evaluate the evidence for a health claim about whole grain (WG) products and coronary heart disease (CHD). Studies were excluded if the American Association of Cereal Chemists International WG definition was not met or if foods with less than 51% WG ingredients were classified as WG. Seventeen of 26 clinical trials reported sufficient information to be included in the meta‐ analysis. Overall, pooled analyses suggested that WG products have total and LDL cholesterol‐lowering effects. No effect remained when trials that tested single grains high in β‐glucan fibre, such as oats, and poor quality studies were removed from the analysis. The cohort studies were too heterogeneous to calculate pooled risk estimates. Four of 6 cohort studies reported at least one improved CHD outcome in individuals who consumed more WG products. Two of the positive studies were poor quality; the remaining 2 were separate analyses of the same cohort. Health Canada concluded that the evidence to date was not sufficient to support a health claim about WG products in general and CHD. The effect of β‐glucan fibre cannot be generalized to other grains, including wheat, the main grain consumed in Canada. Health Canada has already accepted health claims about oat and barley products and cholesterol‐lowering.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.690
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.363
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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2013
Admission routes1
Has abstractyes

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