ReviewEating and weight disorders : EWD2014
From simplicity towards complexity: the Italian multidimensional approach to obesity.
Review in Eating and weight disorders : EWD, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Italy's Landmark Obesity Law: The Long Road from Science to Policy.Obesity facts · 2026Article
- Multimodal and Multidimensional Artificial Intelligence Technology in Obesity.Journal of obesity & metabolic syndrome · 2025Review
- Optimising healthcare transition of adolescents and young adults to adult care: a perspective statement of the Italian Society of Obesity.Eating and weight disorders : EWD · 2024Article
- Optimising the Bariatric Patients' Outcome through Cardiac Rehabilitation Approach.Obesity surgery · 2018Article
- Long-term weight loss maintenance for obesity: a multidisciplinary approach.Diabetes, metabolic syndrome and obesity : targets and therapy · 2016Review
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obesity is the result of a complex interplay among several factors leading to medical, functional and psychosocial consequences that markedly reduce life expectancy and impair quality of life. Is obesity itself a disease? Is obesity a brain disease? Who should treat obesity? This paper is a narrative review aimed to describe and to argue the prevalent position of some major Italian scientific and academic institutions dealing with obesity. According to the recent statements and recommendations published by the Italian Society for Obesity (SIO) and the Italian Society for the Study of Eating Disorders (SISDCA), the management of obese patients should include five main levels of care: (1) primary care, (2) outpatient treatment, (3) intensive outpatient treatment, (4) residential rehabilitative treatment, and (5) hospitalization. Ideally, patients suffering from obesity need a multidimensional evaluation intended to design an individualized treatment plan applying different procedures and therapeutic strategies (diet, physical activity and functional rehabilitation, educational therapy, cognitive-behavior therapy, drug therapy, and bariatric surgery). This thorough approach should address not only weight loss but also quality of weight loss, medical and psychiatric comorbidity, psychosocial problems, and physical disability. Such management of obesity requires an effective multiprofessional team, while health services have to overcome a number of administrative and organizational barriers that do not account for diseases requiring resources and professionals from different areas of medicine. Integrating several competences in a team-based approach demands specific education, skills and expertise. As for other diseases, the principles of complexity theory may offer a model useful to implement both teamwork and care delivery for patients with obesity.
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What 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.