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Record W3209146009 · doi:10.3389/fnut.2021.733697

Appraisal of Triglyceride-Related Markers as Early Predictors of Metabolic Outcomes in the PREVIEW Lifestyle Intervention: A Controlled Post-hoc Trial

2021· article· en· W3209146009 on OpenAlexfundno aff
Santiago Navas‐Carretero, Rodrigo San-Cristóbal, Pia Siig Vestentoft, Jennie Brand‐Miller, Elli Jalo, Margriet S. Westerterp‐Plantenga, Elizabeth J. Simpson, Teodora Handjieva‐Darlenska, Gareth Stratton, Maija Huttunen‐Lenz, Tony Lam, Roslyn Muirhead, Sally D. Poppitt, Kirsi H. Pietiläinen, Tanja C. Adam, Moira A. Taylor, Svetoslav Handjiev, Melitta A. McNarry, Sylvia Hansen, Shannon Brodie, Marta P. Silvestre, Ian Macdonald, Nadka Boyadjieva, Kelly A. Mackintosh, Wolfgang Schlicht, Amy Liu, Thomas Meinert Larsen, Mikael Fogelholm, Anne Raben, J. Alfredo Martínéz

Bibliographic record

VenueFrontiers in Nutrition · 2021
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsnot available
FundersAgencia Estatal de InvestigaciónSeventh Framework ProgrammeEngineering and Physical Sciences Research CouncilMedical Research CouncilGlycemic Index FoundationUniversity of SydneyBiotechnology and Biological Sciences Research CouncilDiabetestutkimussäätiöEmil Aaltosen SäätiöNational Health and Medical Research CouncilNovo Nordisk FondenHelsingin YliopistoSteno Diabetes Center CopenhagenMinisterio de Ciencia e InnovaciónNational Institute for Health and Care ResearchMcGill UniversityUniversity of LeedsNovo NordiskSuomen Lääketieteen SäätiöDirectorate for Biological SciencesNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer ResearchVirginia Commonwealth UniversityCentro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y NutriciónJenny ja Antti Wihurin Rahasto
KeywordsMedicineWaistOverweightPrediabetesRandomized controlled trialType 2 diabetesPopulationWeight lossInsulin resistanceGlycemicDiabetes mellitusAnthropometryPost-hoc analysisObesityBody mass indexMetabolic syndromeInternal medicinePhysical therapyEndocrinologyEnvironmental health

Abstract

fetched live from OpenAlex

Background: Individuals with pre-diabetes are commonly overweight and benefit from dietary and physical activity strategies aimed at decreasing body weight and hyperglycemia. Early insulin resistance can be estimated via the triglyceride glucose index {TyG = Ln [TG (mg/dl) × fasting plasma glucose (FPG) (mg/dl)/2]} and the hypertriglyceridemic-high waist phenotype (TyG-waist), based on TyG x waist circumference (WC) measurements. Both indices may be useful for implementing personalized metabolic management. In this secondary analysis of a randomized controlled trial (RCT), we aimed to determine whether the differences in baseline TyG values and TyG-waist phenotype predicted individual responses to type-2 diabetes (T2D) prevention programs. Methods: The present post-hoc analyses were conducted within the Prevention of Diabetes through Lifestyle intervention and population studies in Europe and around the world (PREVIEW) study completers ( n = 899), a multi-center RCT conducted in eight countries (NCT01777893). The study aimed to reduce the incidence of T2D in a population with pre-diabetes during a 3-year randomized intervention with two sequential phases. The first phase was a 2-month weight loss intervention to achieve ≥8% weight loss. The second phase was a 34-month weight loss maintenance intervention with two diets providing different amounts of protein and different glycemic indices, and two physical activity programs with different exercise intensities in a 2 x 2 factorial design. On investigation days, we assessed anthropometrics, glucose/lipid metabolism markers, and diet and exercise questionnaires under standardized procedures. Results: Diabetes-related markers improved during all four lifestyle interventions. Higher baseline TyG index ( p < 0.001) was associated with greater reductions in body weight, fasting glucose, and triglyceride (TG), while a high TyG-waist phenotype predicted better TG responses, particularly in those randomized to physical activity (PA) of moderate intensity. Conclusions: Two novel indices of insulin resistance (TyG and TyG-waist) may allow for a more personalized approach to avoiding progression to T2D. Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT01777893 reference, identifier: NCT01777893.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.287
Teacher spread0.278 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations11
Published2021
Admission routes1
Has abstractyes

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