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Record W2027562359 · doi:10.3148/63.4.2002.169

<i>Dietary Counselling for Dyslipidemia in Primary Care:</i> Results of a Randomized Trial

2002· article· en· W2027562359 on OpenAlexaffvenue
Robert D. Reid, George Fodor, Kathleen Lydon-Hassen, Monika Slovinec D’Angelo, Jennifer McCrea, M. Carol Bowlby, Loretta DiFrancesco

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2002
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsKellogg's (Canada)University of Ottawa
Fundersnot available
KeywordsMedicineDyslipidemiaRandomized controlled trialSaturated fatPrimary careInternal medicinePsylliumPhysical therapyObesityCholesterolDietary fiberFamily medicineFood science

Abstract

fetched live from OpenAlex

This study compared the effectiveness of physician advice versus dietitian advice for a fat-reduced diet, and of dietitian advice for a fat-reduced diet versus a soluble fibre-enhanced diet in patients with moderate dyslipidemia. A total of 111 men and women took part in this 26-week, three-group, randomized, clinical trial. The physician advice fat-reduced diet group (n = 38) and the dietitian advice fat-reduced diet group (n = 35) received dietary advice based on the American Heart Association (AHA) Step II guidelines. The dietitian advice soluble fibre-enhanced diet group (n = 38) consumed one-third cup per day of psyllium-containing cereal and was advised to increase soluble fibre intake to over 10 grams a day. LDL-C, TC/HDL-C ratio and body weight reductions over six months were -5.3%, -4.6%, and -1.9%, respectively, regardless of whether a physician or a dietitian provided advice, or whether advice was focused on a fat-reduced diet or a soluble fibre-enhanced diet. Both dietitians and physicians can help moderately dyslipidemic patients make clinically meaningful changes in blood lipid levels. Soluble fibre enhancement of the usual diet leads to similar reductions in LDL-C and TC/HDL-C ratio compared to interventions focused on fat 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 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)0.033
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0330.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.003
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 head0.212
GPT teacher head0.494
Teacher spread0.282 · 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 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

Citations15
Published2002
Admission routes2
Has abstractyes

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