ReviewNature reviews. Endocrinology2014
Personalized weight loss strategies-the role of macronutrient distribution.
Review in Nature reviews. Endocrinology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Effect of TCF7L2 on the relationship between lifestyle factors and glycemic parameters: a systematic review.Nutrition journal · 2022Pooled it
- FTO genotype and weight loss: systematic review and meta-analysis of 9563 individual participant data from eight randomised controlled trials.BMJ (Clinical research ed.) · 2016Pooled it
- Associations of Dietary Intake with the Intestinal Microbiota and Short-Chain Fatty Acids Among Young Adults with Type 1 Diabetes and Overweight or Obesity.The Journal of nutrition · 2023Trial
- Weight management in young adults with type 1 diabetes: The advancing care for type 1 diabetes and obesity network sequential multiple assignment randomized trial pilot results.Diabetes, obesity & metabolism · 2023Trial
- Protein quantitative trait locus study in obesity during weight-loss identifies a leptin regulator.Nature communications · 2017Trial
- Mediterranean Diet Adherence and Genetic Background Roles within a Web-Based Nutritional Intervention: The Food4Me Study.Nutrients · 2017Trial
- Analysis of Dietary Pattern Impact on Weight Status for Personalised Nutrition through On-Line Advice: The Food4Me Spanish Cohort.Nutrients · 2015Trial
- Trial
- Article
- Interaction between polygenic scores and dietary intake in relation to BMI in Canadian children.Journal of nutritional science · 2026Article
- Individual and joint effects of overweight/obesity and the triglyceride-glucose index on mortality risk in type 2 diabetic patients: a retrospective cohort study in China.Frontiers in endocrinology · 2026Article
- The science behind the lifesum app: an intervention design analysis.Scientific reports · 2025Article
- Epigenomic mechanisms of dietary prescriptions for obesity therapy.Epigenomics · 2025Review
- Diet Quality and Caloric Accuracy in AI-Generated Diet Plans: A Comparative Study Across Chatbots.Nutrients · 2025Article
- Associations between dietary macronutrient composition and cardiometabolic health: data from NHANES 1999-2014.European journal of nutrition · 2024Article
- Food choices for weight loss: what dietary strategies would people use?The British journal of nutrition · 2024Article
- Precision Nutrition to Improve Risk Factors of Obesity and Type 2 Diabetes.Current nutrition reports · 2023Review
- Neurolysin Knockout Mice in a Diet-Induced Obesity Model.International journal of molecular sciences · 2023Article
- Dietary protein and the glycemic index handle insulin resistance within a nutritional program for avoiding weight regain after energy-restricted induced weight loss.Nutrition & metabolism · 2022Article
- Effects of Dietary Fat to Carbohydrate Ratio on Obesity Risk Depending on Genotypes of Circadian Genes.Nutrients · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A large number of different dietary approaches have been studied in an attempt to achieve healthy, sustainable weight loss among individuals with overweight and obesity. Restriction of energy intake is the primary method of producing a negative energy balance leading to weight loss. However, owing to the different metabolic roles of proteins, carbohydrates and lipids in energy homeostasis, diets of similar overall energy content but with different macronutrient distribution can differentially affect metabolism, appetite and thermogenesis. Evidence increasingly suggests that the fuel values of calories provided by distinct macronutrients should be considered separately, as metabolism of specific molecular components generates differences in energy yield. The causes of variation in individual responses to various diets are currently under debate, and some evidence suggests that differences are associated with specific genotypes. This Review discusses all available systematic reviews and meta-analyses, and summarizes the results of relevant randomized controlled intervention trials assessing the influence of macronutrient composition on weight management. The initial findings of research into personalized nutrition, based on the interactions of macronutrient intake and genetic background and its potential influence on dietary intervention strategies, are also discussed.
Indexed as
Identifiers
25311395What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.