ReviewCurrent gastroenterology reports2017
Phenotypes of Obesity: How it Impacts Management.
Review in Current gastroenterology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05493592 (Interest of a Diet Rich in Cajanus Cajan), which is not on this map. Cited by 8 papers.
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.
Interest of a Diet Rich in Cajanus Cajan (Pigeon Pea) Associated With a Standardized Exercise Protocol on NLRP3 Inflammasome Expression and Weight Loss in Adult Patients With Severe Obesity.
Who cites it
8 citing papers in PubMed.
- Exploring the Effect of the Dynamics of Behavioral Phenotypes on Health Outcomes in an mHealth Intervention for Childhood Obesity: Longitudinal Observational Study.Journal of medical Internet research · 2023Observational
- Comparison between handheld ultrasound and regional and whole-body dual energy x-ray absorptiometry (DXA) for body fat assessment.Clinical nutrition ESPEN · 2021Article
- When Pandemics Collide: the Interplay of Obesity and COVID-19.Current gastroenterology reports · 2021Review
- Relationship between trait suggestibility and eating-related behaviors in overweight and obesity.Eating behaviors · 2020Article
- Sweet cognition: The differential effects of glucose consumption on attentional food bias in individuals of lean and obese status.Physiology & behavior · 2019Article
- Association of Muscular Fitness and Body Fatness with Cardiometabolic Risk Factors: The FUPRECOL Study.Nutrients · 2018Article
- Current perspective for tube feeding in the elderly: from identifying malnutrition to providing of enteral nutrition.Clinical interventions in aging · 2018Review
- Challenging obesity, diabetes, and addiction: the potential of lorcaserin extended release.Diabetes, metabolic syndrome and obesity : targets and therapy · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of reviewThe worldwide prevalence of obesity is increasing. Obesity is strongly associated with many chronic health conditions that have been shown to improve with weight loss. However, counseling patients on weight loss can be challenging. Identifying specific aspects of weight management may personalize the conversation about weight loss and better address the individual patient's health goals and perceived barriers to change. RECENT
findingsPhysical and behavioral phenotypes are being identified to better tailor treatment recommendations, given lack of efficacy of currently available interventions. The current review provides a summary of the evidence behind the management of several recognized clinical phenotypes, to include body fat distribution (e.g., central obesity), muscle mass (e.g., sarcopenic obesity of the elderly), and problematic eating behaviors (e.g., cravings). Identifying specific aspects of weight management may personalize the conversation about weight loss and better address the individual patient's health goals and perceived barriers to change.
Indexed as
Identifiers
28948512What 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.