A systematic review and meta-analysis combining adolescent and adult data to evaluate weight loss and the effect of age following the laparoscopic sleeve gastrectomy.
Danielle KaraksoPublished in: Obesity reviews : an official journal of the International Association for the Study of Obesity (2024)
Obesity is a grave concern within the United States, resulting in lost productivity, increased medical costs, and comorbidities with lifelong repercussions. The laparoscopic sleeve gastrectomy is a treatment option for obesity. The following meta-analysis sought to combine adolescent and adult literature to determine the overall effect of the sleeve gastrectomy on weight loss, to evaluate the effect of age at the time of surgery on weight loss, and to describe and explore variation in weight loss by sample characteristics. Overall weight loss was assessed at proximal and distal points, a dichotomous moderator variable analysis was conducted with subjects ≤21 years of age and >21 years of age, and a meta-regression assessing % male, % female, and baseline BMI was conducted to assess moderator variables. The laparoscopic sleeve gastrectomy was effective at facilitating weight loss with effect sizes varying from 0.916 to2.816. Age, biological sex, and baseline BMI were not found to have an impact on weight loss. The clinical consequences of prolonged obesity are evident and earlier intervention may be justified to counter the long-term effects caused by obesity related comorbidities. Standardized reporting of comorbidities and the effect of bariatric surgery on comorbid conditions is essential to allow further analysis.
Keyphrases
- weight loss
- bariatric surgery
- roux en y gastric bypass
- gastric bypass
- weight gain
- systematic review
- obese patients
- glycemic control
- young adults
- body mass index
- minimally invasive
- healthcare
- mental health
- randomized controlled trial
- emergency department
- type diabetes
- childhood cancer
- insulin resistance
- adipose tissue
- physical activity
- acute coronary syndrome
- skeletal muscle
- big data