The Comparison of Three and Six-Month Weight-Loss Outcomes Among Endoscopic Intragastric Balloons: A Bayesian Network Meta-Analysis

Erwin Syarifuddin, Citra Aryanti

Abstract


Introduction: Obesity is a complex problem that leads to many complications. Bariatric surgrey is effective but only few obese patients are qualified to undergo the surgery. In recent era, endoscopic intragastric ballooning may be promising with its greater efficacy and lower side effects. Many intragastric balloons were developed, such as Orbera, ReShapeDuo, and Heliosphere. Until now, no head-to-head trials that compared those therapies in terms of the weight loss outcome.
Methods: The study will be conducted in accordance with the PRISMA and NMA extension. Only randomized controlled trials analyzing weight loss from various endoscopic intragastric balloons were obtained from Medline, Scopus, and Cochrane with representative keywords. The weight loss outcomes were observed in 3-month and 6-month depend on the study result. All statistical analysis was conducted within Bayesian framework using BUGSnet 1.1.0 with Markov Chain Monte Carlo algorithm in R Studio.
Results: Fourteen RCTs were included with 1159 subjects. In four studies with 3-month follow up, single-balloon showed significant weight loss compared to control (MD 2.45; 95%CI 1.66-3.23; I2 88%, p<0.001). In ten studies with 6-month follow up, there were three intragastric balloons compared to control. Both single-balloon and dual-balloon showed statistically significant weight loss results (MD 8.43; 95%CI 3.76-13.2; p<0.001 and MD 8.51; 95%CI 0.42-16.5; p<0.001, respectively). Air-filled balloons showed favorable result of weight loss also (MD 8.9; 95% -0.41-18.4), but no statistical conclusion could be made due to insufficient study result.
Conclusion: Both single- and dual- intragastric balloons showed significant weight-loss results. Air-filled balloons require further high-quality trials for definitive conclusions.


Keywords


Intragastric Balloon, Weight Loss, Bayesian Network Meta-Analysis

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References


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DOI: http://dx.doi.org/10.52155/ijpsat.v50.2.7196

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