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Record W4417231530 · doi:10.1097/mco.0000000000001185

Editorial introductions

2025· article· en· W4417231530 on OpenAlexaboutno aff

Bibliographic record

VenueCurrent Opinion in Clinical Nutrition & Metabolic Care · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicContemporary Sociological Theory and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsSpecialtyAssociate editorSection (typography)Editorial boardUnit (ring theory)Patient careGovernment (linguistics)

Abstract

fetched live from OpenAlex

Current Opinion in Clinical Nutrition and Metabolic Care was launched in 1998. It is one 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 fields of clinical nutrition and metabolic care are divided into 12 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 Editors and Section Editors for this issue. SECTION EDITORS Stéphane WalrandStéphane WalrandStéphane Walrand, MSc, PhD, is University Professor and Hospital Practitioner, in the University of Clermont Auvergne and Gabriel-Montpied Hospital, France. Professor Walrand graduated in 1990 with an honours degree in biological sciences. He received his master's degree in 1996 and he gained his PhD in 2000 in the specialty of clinical research, technological innovation and public health. In 2002, Professor Walrand joined the Laboratory of Molecular Endocrinology in Bratislava, Slovak Republic, as a post-doctoral fellowship under the direction of Professor Julius Brtko. He then joined INRA in 2002 as a research fellow. In 2004–2005, Professor Walrand joined the Endocrine Research Unit (Prof. KS Nair), Mayo Clinic and Foundation in Rochester, Minnesota, USA. He was appointed as Director of Research at INRA in 2010 and as University Professor and Hospital Practitioner in 2018. He has performed the function of Deputy Director of the Human Nutrition Unit (Clermont-Ferrand, France) and co-leader of the Nutrition, Metabolism and Muscle Mass team (NuTrim). He is currently co-leader of the Diet, Muscle Health and Sarcopenia research team. The team has a long research tradition on skeletal muscle, protein and energy metabolisms, and dietary lipids and proteins, with specific emphasis on the crosstalk between skeletal muscle and adipose tissue. The research programs of the team mainly focus on the impact of the ageing process and chronic diseases on muscle anabolic responses and impaired metabolisms. The objective of the team is focused on the preservation of mobility through new strategies involving nutrition and physical activity to improve muscle function and prevent sarcopenia-related comorbidities. Professor Walrand has collaborations with research groups in Australia, the US, Belgium, Switzerland and the Netherlands. He has a lot of expertise on muscle metabolism in various pathophysiological conditions and under different dietary constraints. Professor Walrand was a member of the Scientific Board of the French Society of Clinical Nutrition and Metabolism and is currently a member of the Scientific Board of the European Society for Clinical Nutrition and Metabolism. He is also one of the members on the board of experts of the French Agency for Food, Environmental and Occupational Health and Safety. He has lectured nationally and internationally. To his credit, Professor Walrand has published over 150 articles, which includes peer-reviewed manuscripts based on original research, abstracts and symposium presentations, reviews and numerous books and volumes. José A. MoraisJosé A. MoraisDr. José Morais is Full Professor of Medicine at McGill University, Montreal Canada. He holds a MD degree from the University of Montreal (1987) and completed a specialty in Internal Medicine and Geriatrics at McGill University, Canada (1993). After a research fellowship at McGill Nutrition Laboratories he became in 1996, an independent clinician-investigator. He is a Senior Scientist at the Research Institute of the McGill University Health Centre (MUHC) in the Metabolic Disorders and Complication Axis. He is Director of the Division of Geriatric Medicine at MUHC since 2009, and is Lead of the Dementia Education Program of the McGill Faculty of Medicine. Dr. Morais was co-Director of the Quebec Network for Research on Aging from 2011–2023. He was the Founder and first Director of the Centre of Excellence on Aging and Chronic Disease of the RUIS McGill from 2012–2015, and is Past President of the Canadian Geriatrics Society. Dr. Morais’ research interest relates to the assessment of protein metabolism and cellular regulation at whole-body and muscle levels and of muscle mitochondrial function with aging, frailty and diabetes. He is also participating in several studies involving the nutritional assessment of elderly persons with the aim of improving their nutritional status and level of physical function. He shares an interest in improving services and care to patient afflicted with chronic diseases. He has published more than 190 scientific articles most of them in high impact journals in the field of aging, nutrition, and metabolism and has contributed to 19 chapters of books. Rajavel ElangoRajavel ElangoDr Rajavel Elango is an Associate Professor in the Department of Pediatrics, and School of Population and Public Health, University of British Columbia, Vancouver, Canada. He is also an Investigator at the Research Institute, BC Children's Hospital, Canada, and an associate member in the Human Nutrition Program at the Faculty of Land and Food Systems, University of British Columbia. Dr Elango obtained his PhD in Nutrition and Metabolism from the University of Alberta, Canada, and did his Post-Doctoral Fellowship at the Hospital for Sick Children, Toronto, Canada. Dr Rajavel Elango's research program focuses on the identification of the dietary requirements for protein and amino acids and protein quality of foods during key stages of growth and development, such as pregnancy and in childhood malnutrition using state-of-the-art stable isotope techniques. His research also focuses on inborn errors of metabolism, and how non-invasive stable isotope-based techniques can be used as diagnostic tools to measure effectiveness of new treatment and management modalities. Dr Elango's international nutrition research is accomplished by collaborations with research institutes located in India. Dr Elango serves on the Editorial Board of the British Journal of Nutrition, and he is a member of the American Society for Nutrition and Canadian Nutrition Society. Dr Elango was the recipient of the 2013 Vernon R. Young International Award for Amino Acid research from the American Society for Nutrition. Dr Elango was part of the Food and Agriculture Organization (FAO) 2014 Expert Working Group on methods to assess protein quality of foods, and the FAO 2017 Expert Working Group on Protein Quality Assessment in Follow-up Formula for Young Children and Ready to use Therapeutic Foods. Claire GaudichonClaire GaudichonClaire Gaudichon is Professor of nutrition at AgroParisTech (Université Paris-Saclay, Palaiseau, France). She has a recognized expertise in protein digestion and metabolism. She performs intervention studies in rodent models and in humans, particularly during the postprandial phase and using stable isotope methods. Prof. Gaudichon has published more than 100 articles in peer review journals in the field of nutrition and physiology in the view of understanding the consequences of varying protein intake (quantity and quality) on physiology and metabolism in healthy or vulnerable populations. She also manages the M2 cursus “Nutrition and Health” of Université Paris-Saclay and is the head of the research unit “Nutrition Physiology and Eating Behavior” (INRAE-AgroPArisTech).

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 score0.176
Threshold uncertainty score0.589

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 communication0.0090.005
Open science0.0040.003
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.1760.106

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 head0.139
GPT teacher head0.513
Teacher spread0.374 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueCurrent Opinion in Clinical Nutrition & Metabolic CareSame topicContemporary Sociological Theory and PracticeFrench-language works237,207