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Record W1983001138 · doi:10.1080/15227950252852069

THE ROLE OF DIETARY AND PLASMA LIPIDS IN CHILDHOOD ATHEROGENESIS

2002· review· en· W1983001138 on OpenAlexaboutno aff
Robert E. Olson

Bibliographic record

VenuePediatric Pathology & Molecular Medicine · 2002
Typereview
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsnot available
Fundersnot available
KeywordsPrivilege (computing)MedicineMalnutritionPediatricsInternal medicine

Abstract

fetched live from OpenAlex

Maria Daria Haust, MD, has made many significant contributions to our understanding of atherogenesis in children, particularly in associating the earliest lesions (fatty spots and streaks) with the normal growth and remodeling of arteries. It is my privilege to link her early work to more recent findings which show that the early lesions seen in the arteries of children before puberty bear no relationship to the risk of atherosclerosis in later life. Furthermore, present evidence supports the view that intervening in childhood (2-15 years) with low-fat low-cholesterol diets or even worse, lipid-lowering drugs to prevent atheroslerotic plaques in adulthood is wasted effort. Overzealous parents may unwittingly induce malnutrition in their children and many children with restricted access to palatable foods, will yearn for them even more as they become older leading to over weightness. Pediatricians from various scientific bodies around the world vary in their advice to mothers regarding diets for children. The program adopted by Health Canada on the advice of pediatricians in that country, which is also supported by the European Society of Pediatrics, Gastroenterology and Nutrition, recommends that the fat content of diets for children should be tapered gradually from 40% of energy at 2 years of age to 30% of energy at the conclusion of linear growth (late adolescence).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.296
Teacher spread0.274 · 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 teacher head, not a consensus.

Study designOther design
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

Citations1
Published2002
Admission routes1
Has abstractyes

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