A 2020 meta-review systematically searched network meta-analyses and meta-analyses of randomized controlled trials (RCTs), individual RCTs, and cohort studies reporting on 78 a priori selected adverse events in children and adolescents, of 80 psychotropic medications, including escitalopram. Data from a total of 337,686 children and adolescents were pooled for analysis. Based on data from 312 patients, the odds ratio of weight gain associated with escitalopram was determined to be 2.30 (95% confidence interval 1.01 to 5.25). However, this data was extracted from RCTs and was determined to be low quality. [1]
A review of short-term studies (≤ 12 weeks) found mean weight losses ≤ 0.5 kg with escitalopram, fluvoxamine, paroxetine, and venlafaxine, 0.5 to 1 kg with citalopram, duloxetine, fluoxetine, and sertraline, and 1.13 kg with bupropion. Mirtazapine increased weight by 1.74 kg. In long-term (≥ 4 months) studies, weight losses were 1.87 kg for bupropion, 0.31 kg for fluoxetine, and 0.12 kg for sertraline. The mean weight gain was 0.71 kg for duloxetine, 0.65 kg for escitalopram, 2.59 kg for mirtazapine, and 2.73 kg for paroxetine. For long-term studies, only changes in weight loss with bupropion and weight gain with paroxetine were significant. [2]
A 2018 random effect meta-analysis was conducted to evaluate the heterogeneity among antidepressants (SSRIs, SNRIs, TCAs, and others) for causing ≥ 5% weight gain. For escitalopram, the adjusted rate ratio (aRR) of weight gain was 1.23 (95% CI 1.17 to 1.29). When comparing relative frequencies of prescribing with the adjusted rate ratio, the frequency of use for escitalopram was 3.7%, which indicates that escitalopram is not a commonly-prescribed medication associated with weight gain. These findings are similar to other SSRIs except for citalopram which is significantly associated with ≥ 5% weight gain (aRR 1.26; 95% CI 1.23 to 1.28). Fluoxetine, amitriptyline, and citalopram appear to be correlated with weight gain, but there is potential for residual confounding. Furthermore, meta-analyses are typically conducted between separate clinical trials, but the represented data for the analysis is inadequately described. It is likely the meta-analysis is more of an analysis of their current patient population registered in the United Kingdom's general practice database. [3]