Antidepressant prescriptions have not fully reflected evolving evidence from cumulative network meta-analyses and guideline recommendations

Trends in Brazilian market of antidepressants: A five-year dataset analysis

Introduction: Depression is an emotional disorder associated with morbidities and disabilities worldwide. The growing use of antidepressants is a concern for health managers because there are still unanswered questions on the effectiveness and safety of these medicines. Drug sales have increased in Brazil in recent years, but investigations on antidepressants sales are not available. We aimed to describe the trends in the antidepressant commerce in Brazil in a five-year period.

Materials and Methods: We performed an ecological study on antidepressant sales in Brazil, from November 2014 to October 2019, using data from IQVIA™, a data provider of pharmaceutical sales. Antidepressants were coded by the Anatomical Therapeutic Chemical classification system, and sales were presented in defined daily doses (DDDs) and DDDs per 1,000 inhabitants per day (DIDs). The results were expressed in absolute quantities and growth rates.

Results: The analyzed dataset contained 23 active substances in 780 products. The total sales of antidepressants increased from 23.3 DIDs in November 2014 to 38.3 DIDs in October 2019 (p = 0.002). Selective serotonin reuptake inhibitors were the most sold category of drugs (+5.7 million DDDs) in the period. ‘Other’ antidepressants presented the largest growth rate (104.7%). Individually, the most sold active substance was escitalopram (+1.8 million DDDs), and vortioxetine had the largest growth rate (336.2%). Tricyclic sales remained unchanged, and monoamine oxidase inhibitors had low and even decreasing sales (−9.5%).

Discussion: The total sales of antidepressants increased in Brazil from November 2014 to October 2019. The higher sale volumes of selective serotonin reuptake inhibitors and higher growth rate of ‘other’ antidepressants, with low sale volume of tricyclics and a decrease of monoamine oxidase inhibitors, suggest the replacement of older drugs by newer ones following a global trend. Therapeutic advances and commercial promotion efforts on new products might explain these findings.

Assessment of early exaggerated treatment effects in orthodontic interventions using cumulative meta-analysis

Background

The reported initial strong treatment effects reported in early trials that are refuted in subsequent future studies assessing the same interventions have been attributed to novelty bias. The aim of this study was to determine whether there is any evidence of novelty bias in the reported treatment effects of orthodontics interventions.

Materials and methods

Relevant orthodontic systematic review (SRs) topics containing at least one meta-analysis on either binary or continuous outcomes with a minimum of three trials considered important areas in the field of orthodontic practice were identified. SR, meta-analysis, and primary study-level characteristics were extracted. Descriptive statistics were calculated at the SRs, meta-analysis, and at the individual study level. All SR and trial-level data were imported into the statistical software and all meta-analyses were replicated using the cumulative random-effects meta-analysis approach. Changes in the size and direction of the estimates between the first trial and the cumulative effect over time were recorded.

Results

Forty-seven meta-analyses were included. The total number of primary studies included within these meta-analyses was 408 (N = 408). Overall, the final effect size estimate decreased in 29 (61.7%, N = 29/47) cumulative meta-analyses whilst it increased in the remaining 18 (38.3%, N = 18/47). No association between the level of risk of bias and the cumulative absolute effect size was evident (OR 1.00; 95% CI: 0.98, 1.03; P = 0.717) after adjusting for year of the primary study (P = 0.22).

Conclusions

Clinicians should be wary of the results of trials reporting the effectiveness of new interventions as there is a possibility that the reported effect size will be often exaggerated.