Review: Interventions to reduce or modify dietary fat reduce cardiovascular events
Bibliographic record
Abstract
ACP Journal Club17 January 2012Review: Interventions to reduce or modify dietary fat reduce cardiovascular eventsScott Kahan, MD, MPH, Yoni Freedhoff, MDScott Kahan, MD, MPHJohns Hopkins Weight Management Center, Baltimore, Maryland, USA (S.K.)Search for more papers by this author, Yoni Freedhoff, MDUniversity of Ottawa, Ottawa, Ontario, Canada (Y.F.)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-156-2-201201170-02005 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail Source CitationHooper L, Summerbell CD, Thompson R, et al. Reduced or modified dietary fat for preventing cardiovascular disease. Cochrane Database Syst Rev. 2011;(7):CD002137. https://pubmed.ncbi.nlm.nih.gov/21735388Clinical Impact RatingsGIM/FP/GP: References1 World Health Organization. Prevention of Cardiovascular Disease: Guidelines for assessment and management of cardiovascular risk. Geneva. World Health Organization. 2007. Google Scholar2 He FJ, MacGregor GA. Comment: Salt reduction lowers cardiovascular risk: meta-analysis of outcome trials. Lancet. 2011;378:380-2. [PMID: 21803192] Google Scholar3 Hu FB, Manson JE, Willett WC. Types of dietary fat and risk of coronary heart disease: a critical review. J Am Coll Nutr. 2001;20:5-19. [PMID: 11293467] Google Scholar4 Shai I, Schwarzfuchs D, Henkin Y, et al; Dietary Intervention Randomized Controlled Trial (DIRECT) Group. Weight loss with a low-carbohydrate, Mediterranean, or low-fat diet. N Engl J Med. 2008;359:229-41. [PMID: 18635428] Google Scholar5 Mozaffarian D, Appel LJ, Van Horn L. Components of a cardioprotective diet: new insights. Circulation. 2011;123:2870-91. [PMID: 21690503] Google Scholar6 Wansink B, Chandon P. Can “low fat” nutrition labels lead to obesity? Journal of Marketing Research. 2006;43:605-17. Google Scholar Author, Article, and Disclosure InformationAuthors: Scott Kahan, MD, MPH; Yoni Freedhoff, MDAffiliations: Johns Hopkins Weight Management Center, Baltimore, Maryland, USA (S.K.)University of Ottawa, Ottawa, Ontario, Canada (Y.F.)This article was published at Annals.org on 3 January 2012. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoReview: Interventions to reduce dietary salt do not reduce mortality or morbidity Scott Kahan and Yoni Freedhoff Metrics 17 January 2012Volume 156, Issue 2Page: JC1-5KeywordsDietFatsFoodHeart failureMortalityMyocardial infarctionOilsProteinsSaltsSodium ePublished: 17 January 2012 Issue Published: 17 January 2012 Copyright & PermissionsCopyright © 2012 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.031 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.005 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".