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Record W4205815182 · doi:10.1097/mol.0000000000000570

Editorial introductions

2018· article· en· W4205815182 on OpenAlexaboutno aff

Bibliographic record

VenueCurrent Opinion in Lipidology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Lipids, and Metabolism
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceSpecialtyMedicineSection (typography)GerontologyFamily medicine

Abstract

fetched live from OpenAlex

Current Opinion in Lipidology was launched in 1990. It is part of a successful series of review journals whose unique format is designed to provide a systematic and critical assessment of the literature as presented in the many primary journals. The field of lipidology is divided into six sections that are reviewed once a year. Each section is assigned a Section Editor, a leading authority in the area, who identifies the most important topics at that time. Here we are pleased to introduce the Journal's Editor and Section Editors for this issue. EDITOR Robert A. HegeleRobert A. HegeleRobert A. Hegele is a distinguished University Professor of Medicine and Biochemistry, University of Western Ontario, Canada, and Director of the Lipid Genetics Clinic and the London Regional Genomics Centre in London, Ontario, Canada. He received his MD degree from the University of Toronto in 1981. His specialty training in internal medicine and in endocrinology & metabolism was also in Toronto. His post-doctoral research fellowships were at Rockefeller University, USA, and Howard Hughes Medical Institute, University of Utah, USA. From 1989 to 1997 he was on the Faculty of Medicine at the University of Toronto. In 1997 Dr Hegele joined the Schulich School of Medicine and Dentistry and the Robarts Research Institute at the Western University, in London, Ontario, Canada, where he holds the Jacob J. Wolfe Distinguished Medical Research Chair and the Martha Blackburn Chair in Cardiovascular Research. His lab studies the genetics of lipoprotein metabolism, cardiovascular disease and diabetes mellitus. Solely or through collaborations, his lab was first to describe the molecular genetic basis of 20 human diseases. His lab has also defined much of the genetic basis of complex disorders, including hypertriglyceridemia. He has co-authored over 600 peer-reviewed publications and has contributed to national treatment guidelines for dyslipidemia, hypertension and diabetes. He is a practicing endocrinologist and has participated in numerous clinical trials. He has trained numerous physicians and graduate students. SECTION EDITORS Frank M. SacksFrank M. SacksDr Sacks is Professor of Cardiovascular Disease Prevention in the Nutrition Department of Harvard Chan School of Public Health; Professor of Genetics & Complexes Diseases; and Professor of Medicine at Harvard Medical School. Dr Sacks led the panel designing the DASH Study, which crafted a healthful eating pattern and demonstrated that it lowered blood pressure more effectively than any previous dietary treatment. Subsequently Dr Sacks led the DASH-Sodium study, which determined the dose-response effect of dietary sodium on BP. These multi-center National Heart Lung and Blood Institute trials found major beneficial additive effects of low salt and a dietary pattern rich in fruits and vegetables on blood pressure. He also led the seminal PoundsLost trial which showed the percentage of calories from fat or carbohydrate had no effect on long term weight loss. Currently, he is co-investigator of the MIND study, a randomized trial of a diet that combines features of the Mediterranean and DASH diets to preserve cognition in older people, funded by the National Institute on Aging. Dr Sacks's laboratory has studied the role of apolipoproteins in atherogenic lipoprotein metabolism in obesity and hypertriglyceridemia. He authored over 30 research papers on apoC-3 and/or apoE. Recently he discovered that a type of HDL that contains apolipoprotein C-III predicted higher rates of heart disease and diabetes, the opposite to the protective relation for the total HDL; and impaired HDL function in reverse cholesterol transport. Dr Sacks teaches at Harvard School of Public Health as course director for nutritional metabolism and biochemistry. Dr Sacks received the 2011 Research Achievement Award of the American Heart Association for lifetime research accomplishment. Majken K. JensenMajken K. JensenMajken K. Jensen, PhD, is Associate Professor of Nutrition and Epidemiology at Harvard T. H. Chan School of Public Health and Assistant Professor of Medicine at Harvard Medical School in Boston, MA, USA. Dr Jensen's primary research interests include novel metabolic markers, nutrition, and genetics, in relation to aging. In ongoing collaboration with Dr Frank Sacks, they investigate how the presence of a small proinflammatory protein (apolipoprotein C-III) on HDL particles marks a potentially dysfunctional type of HDL that is not inversely associated with risk of cardiometabolic health, such as IMT, diabetes and cardiovascular disease. Other currently funded work is focused on lipoproteins and other biomarkers of Alzheimer's disease and stroke. Her research predominantly utilizes large-scale observational studies (including the Health Professionals Follow-Up Study, the Nurses’ Health Study, the Danish Diet, Cancer and Health study, the Multi-Ethnic Study of Atherosclerosis, and the Cardiovascular Health Study) where cost-efficient prospective case-control studies are nested within for purpose of measuring novel biomarkers or genome-wide markers. Dr Jensen's research has been published in leading scientific journals and has been recognized with numerous awards. She received the Trudy Bush Fellowship for Cardiovascular Disease Research in Women's Health (2011) and the Genomic and Epidemiology Mid-Career Research Award (2018) from the American Heart Association. She originally came for research studies at Harvard T. H. Chan School of Public Health as a Fulbright scholar. Dr Jensen has published over 100 original research articles.

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)0.008
metaresearch head score (Gemma)0.067
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.161
Threshold uncertainty score0.538

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.067
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0060.002
Science and technology studies0.0030.002
Scholarly communication0.0080.005
Open science0.0040.003
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.1610.100

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 head0.028
GPT teacher head0.336
Teacher spread0.308 · 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
GenreEditorial

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
Published2018
Admission routes1
Has abstractyes

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