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Trans Fatty Acids and Cardiovascular Disease Risk

2014· article· en· W2082772669 on OpenAlexvenueno aff
Moses Elisaf, M. Georgoula, Theodosios D. Filippatos, Angelos Liontos

Bibliographic record

VenueJournal of Nutritional Therapeutics · 2014
Typearticle
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsnot available
Fundersnot available
KeywordsDiseaseInternal medicineMedicineEndocrinologyChemistryEnvironmental health

Abstract

fetched live from OpenAlex

Trans fatty acids (TFA) are fatty acids that contain at least one double bond that is in the trans configuration. TFA are consumed mainly with industrial partially hydrogenated vegetable fats that are used in the production of margarines and “shortenings”. The consumption of ruminant TFA provide another source of TFA in European countries. TFA consumption generally increases total cholesterol and decreases high density lipoprotein cholesterol and is associated with increased risk of cardiovascular disease. The results of some large-scale epidemiological studies suggest that the increased cardiovascular disease risk with the consumption of TFA is possibly greater than would be predicted from changes in plasma lipid levels alone. The experience from different countries shows that the elimination of TFA is a cost effective and feasible public health intervention. Based on the scientific evidence, the consumption of TFA should be further targeted aiming to further reduce of TFA in fast food products and the implementation of newer industrial methods that produce vegetable oils with lower (or even zero) amounts of TFA.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.041
GPT teacher head0.307
Teacher spread0.267 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2014
Admission routes1
Has abstractyes

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