ReviewCureus2015
Deep Brain Stimulation for Obesity.
Review in Cureus, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03708913 (Deep Brain Stimulation for Hypothalamic Obesity), which is not on this map. Cited by 9 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.
Deep Brain Stimulation for Hypothalamic Obesity: A Surgical & Neuroimaging Study
Who cites it
9 citing papers in PubMed, 27 citations in OpenAlex.
- Aberrant impulse control circuitry in obesity.Molecular psychiatry · 2022Article
- A novel wireless brain stimulation device for long-term use in freely moving mice.Scientific reports · 2019Article
- Deep Brain Stimulation-Possible Treatment Strategy for Pathologically Altered Body Weight?Brain sciences · 2018Review
- Invasive and Non-invasive Stimulation of the Obese Human Brain.Frontiers in neuroscience · 2018Review
- Effects of Deep Brain Stimulation on Autonomic Function.Brain sciences · 2016Review
- DBS for Obesity.Brain sciences · 2016Review
- Robot Assisted Stereotactic Laser Ablation for a Radiosurgery Resistant Hypothalamic Hamartoma.Cureus · 2016Article
- Craniopharyngioma and hypothalamic injury: latest insights into consequent eating disorders and obesity.Current opinion in endocrinology, diabetes, and obesity · 2016Review
- Proceedings of the Fourth Annual Deep Brain Stimulation Think Tank: A Review of Emerging Issues and Technologies.Frontiers in integrative neuroscience · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obesity is now the third leading cause of preventable death in the US, accounting for 216,000 deaths annually and nearly 100 billion dollars in health care costs. Despite advancements in bariatric surgery, substantial weight regain and recurrence of the associated metabolic syndrome still occurs in almost 20-35% of patients over the long-term, necessitating the development of novel therapies. Our continually expanding knowledge of the neuroanatomic and neuropsychiatric underpinnings of obesity has led to increased interest in neuromodulation as a new treatment for obesity refractory to current medical, behavioral, and surgical therapies. Recent clinical trials of deep brain stimulation (DBS) in chronic cluster headache, Alzheimer's disease, and depression and obsessive-compulsive disorder have demonstrated the safety and efficacy of targeting the hypothalamus and reward circuitry of the brain with electrical stimulation, and thus provide the basis for a neuromodulatory approach to treatment-refractory obesity. In this study, we review the literature implicating these targets for DBS in the neural circuitry of obesity. We will also briefly review ethical considerations for such an intervention, and discuss genetic secondary-obesity syndromes that may also benefit from DBS. In short, we hope to provide the scientific foundation to justify trials of DBS for the treatment of obesity targeting these specific regions of the brain.
Indexed as
Identifiers
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.