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Obesity

Cost-effectiveness analysis of bariatric surgery for morbid obesity in Belgium

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 365-373 | Received 12 Sep 2017, Accepted 12 Dec 2017, Published online: 10 Jan 2018

Figures & data

Figure 1. Structure of the model. Abbreviation. MI, myocardial infarction. Reprinted with permission of Borisenko Oleg from Borisenko et al. Bariatric surgery can lead to net cost savings to health care systems: results from a comprehensive European decision analytic model. Obes Surg 2015;25:1559–68Citation12.

Figure 1. Structure of the model. Abbreviation. MI, myocardial infarction. Reprinted with permission of Borisenko Oleg from Borisenko et al. Bariatric surgery can lead to net cost savings to health care systems: results from a comprehensive European decision analytic model. Obes Surg 2015;25:1559–68Citation12.

Table 1. Absolute BMI reduction.

Table 2. Cost of bariatric surgery procedures and post-surgery complications (€2,012).

Table 3. Cost of obesity-related comorbidities and unit costs (€2,012).

Table 4. Patient baseline characteristics.

Table 5. Base-case results of cost-effectiveness analysis.

Table 6. Absolute and relative risks of obesity-related comorbidities in the model.

Figure 2. Tornado diagram. One-way sensitivity analysis was produced for a single cohort of 39.2-year non-smoking males with BMI of 41 kg/m2. Only variables affecting the results for more than €100 are shown.

Figure 2. Tornado diagram. One-way sensitivity analysis was produced for a single cohort of 39.2-year non-smoking males with BMI of 41 kg/m2. Only variables affecting the results for more than €100 are shown.

Figure 3. Cost-effectiveness acceptability plane. A scatter plot depicting the ICER derived from each iteration of the model from the probabilistic sensitivity analysis.

Figure 3. Cost-effectiveness acceptability plane. A scatter plot depicting the ICER derived from each iteration of the model from the probabilistic sensitivity analysis.

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