ArticleObesity (Silver Spring, Md.)2018
Accumulating Data to Optimally Predict Obesity Treatment (ADOPT): Recommendations from the Biological Domain.
Article in Obesity (Silver Spring, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis 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
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- OBEDIS Core Variables Project: European Expert Guidelines on a Minimal Core Set of Variables to Include in Randomized, Controlled Clinical Trials of Obesity Interventions.Obesity facts · 2020Guideline
- The Physiology Of the WEight Reduced State (POWERS) study: assessing energy balance.International journal of obesity (2005) · 2026Article
- Obesity: assessment and treatment across the care continuum.Annals of medicine · 2025Review
- Article
- Climate Change and Obesity.Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme · 2021Review
- Selection of Antiobesity Medications Based on Phenotypes Enhances Weight Loss: A Pragmatic Trial in an Obesity Clinic.Obesity (Silver Spring, Md.) · 2021Article
- Perspective: Time-Restricted Eating Compared with Caloric Restriction: Potential Facilitators and Barriers of Long-Term Weight Loss Maintenance.Advances in nutrition (Bethesda, Md.) · 2021Article
- Cancer survivorship, excess body fatness and weight-loss intervention-where are we in 2020?British journal of cancer · 2021Review
- Free-Living Energy Balance Behaviors Are Associated With Greater Weight Loss During a Weight Loss Program.Frontiers in nutrition · 2021Article
- Response to comments on "The role of appetite-related hormones, adaptive thermogenesis, perceived hunger and stress in long-term weight-loss maintenance: a mixed methods study".European journal of clinical nutrition · 2020Article
- Sex Differences Across the Lifespan: A Focus on Cardiometabolism.Journal of women's health (2002) · 2020Article
- The role of appetite-related hormones, adaptive thermogenesis, perceived hunger and stress in long-term weight-loss maintenance: a mixed-methods study.European journal of clinical nutrition · 2020Article
- Biobehavioural approaches to prevention and treatment: A call for implementation science in obesity research.Obesity science & practice · 2020Article
- Lessons Learned from the POUNDS Lost Study: Genetic, Metabolic, and Behavioral Factors Affecting Changes in Body Weight, Body Composition, and Cardiometabolic Risk.Current obesity reports · 2019Review
- Good practice in food-related neuroimaging.The American journal of clinical nutrition · 2019Article
- Heterogeneity in Response to Treatment of Adolescents with Severe Obesity: The Need for Precision Obesity Medicine.Obesity (Silver Spring, Md.) · 2019Article
- Demographics and anthropometrics impact benefits of health intervention: data from the Reduce Obesity and Diabetes Project.Obesity science & practice · 2019Article
- Precision medicine in adult and pediatric obesity: a clinical perspective.Therapeutic advances in endocrinology and metabolism · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
backgroundThe responses to behavioral, pharmacological, or surgical obesity treatments are highly individualized. The Accumulating Data to Optimally Predict obesity Treatment (ADOPT) project provides a framework for how obesity researchers, working collectively, can generate the evidence base needed to guide the development of tailored, and potentially more effective, strategies for obesity treatment.
objectivesThe objective of the ADOPT biological domain subgroup is to create a list of high-priority biological measures for weight-loss studies that will advance the understanding of individual variability in response to adult obesity treatments. This list includes measures of body composition, energy homeostasis (energy intake and output), brain structure and function, and biomarkers, as well as biobanking procedures, which could feasibly be included in most, if not all, studies of obesity treatment. The recommended high-priority measures are selected to balance needs for sensitivity, specificity, and/or comprehensiveness with feasibility to achieve a commonality of usage and increase the breadth and impact of obesity research. SIGNIFICANCE: The accumulation of data on key biological factors, along with behavioral, psychosocial, and environmental factors, can generate a more precise description of the interplay and synergy among them and their impact on treatment responses, which can ultimately inform the design and delivery of effective, tailored obesity treatments.
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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.