Background
As a chronic and severe mental disorder, schizophrenia is associated with psychotic behaviors such as hallucinations, delusions, thought/movement disorders which are not generally seen in healthy people (positive symptoms), and disruptions to normal emotions and behaviors (negative symptoms) [
1]. Schizophrenia patients may also suffer from functional impairments that consequently affect their social relationships and employment opportunities.
Globally, schizophrenia affected more than 23 million people in 2015. It was among the top ten causes of disability in adolescents and young adults aged between 15 and 39 [
2]. A previous study estimated its prevalence in China and reported a two-fold increase in the number of patients, which increased from 3.09 million in 1990 to 7.16 million in 2010 [
3]. Another meta-analysis [
4] estimated that the lifetime prevalence of schizophrenia among Chinese people was 5.44 per 1000 in 2014, which means that there were 7.4 million patients with schizophrenia in China (the Chinese population was 1.364 billion in 2014). Also, the stigma faced by schizophrenia patients as well as their families is still common in Chinese society, therefore often impeding the access and continuity of disease treatment [
5].
The economic burden of schizophrenia is heavy in China. The chronically debilitating course of disease and relapses during early and late stages of schizophrenia imply the requirement for long-term continuous treatment, which imposes a considerable economic burden on healthcare systems [
6]. Total direct and indirect costs for schizophrenia treatment in China range from 94 million to 102 billion US dollar annually [
7]. Data obtained from the Tianjin Urban Employee Basic Medical Insurance (UEBMI) showed an annual, schizophrenia-related, mean direct cost of 1775 US dollar per patient, with hospitalized patients spending much more than non-hospitalized patients [
8].
Antipsychotics are the core treatment measures for schizophrenia [
9]. Atypical antipsychotics, also known as second-generation antipsychotics, are the most commonly prescribed medications. Among them, amisulpride was introduced into China in 2010, while olanzapine has been on the market since 1999 and is currently one of the leading treatments for schizophrenia in China. Olanzapine developed quickly after entering the Chinese market, with annual sales rising from less than 40 million Chinese Yuan (CNY) in 2005 to 420 million CNY in 2014; during this period, the compound annual growth rate for olanzapine reached 30% [
10].
Studies have been conducted to investigate amisulpride in comparison with other atypical antipsychotics in different populations. A Cochrane systematic review published in 2010 summarized corresponding clinical outcomes and found that the efficacy of amisulpride was similar to that of olanzapine and risperidone, and better than that of ziprasidone. Amisulpride was likely to be associated with less weight gain than risperidone and olanzapine [
11]. However, the review contained no studies performed on Chinese patients. Ever since amisulpride was introduced into China in 2010, numerous studies comparing various efficacy and safety outcomes between amisulpride and olanzapine have been performed. Since an increasing number of Chinese patients have potential access to amisulpride, it is necessary to synthesize the available evidence through a systematic review and meta-analysis.
Given the economic burden of schizophrenia, the medical costs of amisulpride and olanzapine treatment are also of vital importance. Moreover, local economic evidence is increasingly required and used by relevant authorities in China during pricing and reimbursement decision-making. Appropriate treatment choices may reduce patient financial burden as well as medical insurance costs. Although economic analyses of atypical antipsychotics have been performed in some countries, China has yet to do the same [
12‐
14].
Therefore, the objectives of this study were to 1) summarize and investigate the clinical efficacy and safety profiles of amisulpride and olanzapine as schizophrenia treatments through a systematic and repeatable evaluation of both Chinese and foreign randomized-controlled trials (RCTs); and 2), assess the costs of amisulpride and olanzapine (from a healthcare system perspective) for the treatment of schizophrenia in China.
Methods
Systematic review
The methods for systematic review adhered to guidelines published by Cochrane Collaboration [
15] and the UK’s National Institute for Health and Clinical Excellence (NICE) [
16]. NICE has a rigorous specified approach to perform systematic reviews, and the standard is generally considered sufficient by other countries’ health technology assessment agencies. The systematic review with meta-analysis was registered on PROSPERO (No. CRD 42017069524).
To identify the relevant published studies for clinical data, PubMed, Embase and the Cochrane Library were searched for RCT literature in English, and the China National Knowledge Infrastructure (CNKI) and WanFang database were searched for RCTs references in Chinese. RCTs with head-to-head comparisons between amisulpride and olanzapine were of interest. In English databases, we combined disease terms (schizophrenia) AND intervention terms (amisulpride AND olanzapine) AND study design terms (RCT, clinical trials) AND outcomes. The search terms were translated into Chinese when we searched CNKI and WanFang database. Searches were conducted separately for each literature database up to January 2017. A complementary search was performed in order to cover the most recent articles (published before July 2018). Reference lists of identified studies and relevant systematic reviews were also screened to ensure that relevant items were not missed in the search. The scope of each search strategy has been defined and reported in the PICOS statements in Table
1.
Table 1
PICOS statement for inclusion and exclusion criteria
Study population | Schizophrenia patients, regardless of their age, sex, ethnic group or disease status. | Any not listed in the inclusion criteria |
Intervention | Amisulpride in any oral form of application with any dose | Any not listed in the inclusion criteria |
Comparator | Olanzapine in any oral form of application with any dose | Any not listed in the inclusion criteria |
Outcome measures | Clinical efficacy outcomes Safety outcome | Any not listed in the inclusion criteria |
Study design | RCTs with head-to-head comparison | Editorials OR Notes OR Comments OR Letters OR Case reports OR Pharmacokinetic studies OR Epidemiology studies |
Restrictions | Full-text published manuscripts in English or Chinese Year limitation: no limit | Duplicates Not full-text published manuscripts Non-English or non-Chinese studies |
Two reviewers (MP, YZ) independently extracted all the data. The disagreement was solved by discussion and further inspection of articles. A data extraction table was developed in Microsoft Excel to integrate data from included trials. General information regarding the identification of publication, such as author, title, year of publication, and study design were extracted. In addition, data on sample size (completed/all enrolled), patient characteristics, treatment arm characteristics, outcomes of efficacy and safety were also documented. For studies with multiple arms, only information on amisulpride and olanzapine groups was extracted.
Clinical efficacy endpoints were assessed by the mean change from baseline to total score for four common rating scales of schizophrenia: Positive and Negative Syndrome Scale (PANSS), Scale for the Assessment of Negative Symptoms (SANS), the Brief Psychiatric Rating Scale (BPRS), and the Clinical Global Impressions - Severity or Improvement (CGI-SI). Regarding PANSS, the proportion of patients were also defined as “improved” (25% to no more than 50% reduction in PANSS score), “much improved” (50% to no more than 75% reduction in PANSS score), or “very much improved” (more than 75% reduction in PANSS score).
Safety outcome endpoints included extrapyramidal symptoms (EPS), weight gain, metabolic parameters (total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides and blood glucose), headache, insomnia, somnolence, xerostomia, increased salivation, constipation, hypotension and abnormal corrected QT interval (QTc).
The Cochrane Collaboration’s tool for assessing risk of bias was employed to assess the methodological quality of included RCTs [
17]. Two reviewers independently assessed six domains, which comprised of selection bias (random sequence generation and allocation concealment), performance bias (blinding of participants and personnel), detection bias (blinding of outcome assessment), attrition bias (incomplete outcome data), reporting bias (selective reporting) and other sources of biases. The risk of bias in each domain was categorized as “low”, “high” or “unclear”.
Risk ratios (RRs) and weighted mean differences (WMDs) with 95% confidence intervals (CIs) were calculated for dichotomous and continuous outcomes respectively. A p < 0.05 was considered statistically significant. Meta-analysis was performed using STATA (version 12; Stata Corp., College Station, Texas, USA). Heterogeneity was assessed by Cochran’s Q statistic and I2 statistic. The significance of the Q-statistic test with P < 0.10 indicated a substantial level of heterogeneity. The I2 statistic revealed that the percentage of variability in effect estimates was the result of heterogeneity rather than sampling error, where I2 values of 50% or more implied a substantial level of heterogeneity. The fixed effects model was utilized for I2 values lower than 50% and the Q-statistic test p values greater than 0.10; otherwise, the random effects model was used. The pooled results were displayed using forest plots.
Cost-minimization analysis
Following the meta-analysis, a Microsoft Excel-based cost-minimization analysis (CMA) was conducted to compare the local drug and medical costs between amisulpride and olanzapine for schizophrenia patients in China.
IQVIA China Hospital Pharmaceutical Audit (CHPA) database served as the primary data source for retrieving associated drug acquisition costs in China’s setting. The CHPA database reports the market purchase prices at which the panel hospitals purchase products from wholesalers, distributors, and manufacturers. Database findings showed that the unit costs of original and generic drugs varied greatly in China. Because both Chinese and foreign studies were included in the meta-analysis, and several Chinese studies used generic amisulpride and olanzapine in the trials, we conducted the CMA in two scenarios in order to differentiate the impact of original and generic drug costs. In the base case analysis, we applied weighted-average drug costs for both original and generic drugs, while in an additional scenario, we only applied the average cost of original drugs in the model. All resource costs were represented in CNY.
Weighted-average dosages from included trials of the systematic review were calculated and applied in the CMA. The time horizon of the CMA was based on the average duration of follow-up of included studies.
As for medical costs, the assumption was made that the efficacy and hospitalization rates between both treatments were equivalent; only costs of the adverse events were brought into the analysis. Costs of adverse events were collected from a panel of local clinical experts. As suggested by the clinical experts, in real-world practice, the treatment rates for some of the adverse events (e.g. somnolence, constipation, insomnia) are very low, thus we only considered the cost to treat adverse events that had clinical significance. Probabilities of adverse events were calculated based on the number of events and totals from included trials.
In both the base case scenario and the additional scenario, sensitivity analyses were performed accordingly to examine the stability and robustness of the results. In the univariate sensitivity analysis, unit costs and probabilities of adverse events varied by ±20%. Since daily dosages of antipsychotics vary considerably between different stages of disease progression, we used a large range – 400-800 mg for amisulpride and 5-20 mg for olanzapine – as recommended by Chinese treatment guidelines [
9]. In the probabilistic sensitivity analysis, Monte Carlo simulations (1000 times) were performed to test the uncertainty in the base case scenario. Cost differences were calculated and presented in frequency distributions and the probability of which amisulpride was still cost-saving.
Discussion
In this comprehensive systematic review and meta-analysis of head-to-head clinical trials between amisulpride and olanzapine, both drugs were similar in terms of treatment efficacy for schizophrenia. There were no significant differences in mean changes from baseline for total scores of PANSS, SANS, BPRS, and CGI-SI between patients treated with these two drugs. The proportion of patients assessed as improved, much improved, and very much improved were also similar between the groups. Additionally, one included trial [
18] showed no statistical difference between amisulpride and olanzapine groups on relapse rates. These results were consistent with those in previous systematic reviews and meta-analyses [
11]. Other efficacy outcomes such as quality of life (QoL) and general function are also important. However, only six studies reported related outcomes and used different measurement tools respectively. Thus, we did not include the QoL and general function outcomes in our analyses.
In terms of safety and tolerability, amisulpride and olanzapine were both tolerable and showed different characteristics on specific outcomes. Our analyses revealed that amisulpride had significantly more favorable effects than olanzapine for weight gain, blood glucose, and total cholesterol, which indicated a better influence on metabolic parameters. A previous study found a dose-dependent weight gain after 6 weeks of olanzapine treatment due to its antagonism at 5-HT
2C and H1 receptors. The results of our study implied that patients with a family or personal history of diabetes, dyslipidemia and obesity should be cautious and attentive to their body weights, fasting blood glucose levels and lipid profiles before starting and receiving olanzapine treatment [
19].
Amisulpride also demonstrated superiority for lower risks of constipation, liver transaminase elevation levels and somnolence, while its risks on insomnia and lactation/ amenorrhea/sexual hormone disorder were significantly higher than that of olanzapine. The results were consistent with a previous systematic review [
11]. Concerning risks of EPS, akathisia and tremor, although olanzapine showed better safety profile, the results were not significant. Olanzapine showed a better safety profile for EPS, akathisia and tremor, however the results were not significant. More large-scale trials are required to further investigate the differences between the adverse events for amisulpride and olanzapine.
Our study compared amisulpride and olanzapine for the treatment of schizophrenia by analyzing a large number of RCTs. Although one trial included a mix of patients with schizophrenia, schizophreniform and schizoaffective disorder (of which 57% were schizophrenia patients), this particular trial was nevertheless selected for our study due to its good quality and large sample size. To justify the trial’s inclusion, we conducted sensitivity analyses to test the impact of this trial against others, results of which showed no significant differences among all of the outcomes.
Cost minimization analysis showed that amisulpride might act as a cost-saving alternative to olanzapine in the local Chinese setting with a potential saving of 1358 CNY every 3 months for a patient with schizophrenia in the acute phase, and further potential savings in the maintenance phase. In the additional scenario when original drug costs were applied, the potential savings increased to 1601 CNY per patient. Sensitivity analyses demonstrated the robustness of the results, with dosage and unit costs of amisulpride and olanzapine identified as the most sensitive factors.
The funding sources of included studies were also verified. Three of the 13 Chinese studies reported their funding sources as hospitals. Among the 7 foreign studies, 5 reported their sponsorships: Two studies were from Eli Lilly, one study from Sanofi, one from Sun Pharma, and one from a joint grant from AstraZeneca, Pfizer and Sanofi. All eight studies declared that the sponsor(s) exerted no influence on the results of the studies.
This study is the first meta-analysis of amisulpride to include data from Chinese patients and may therefore be used to inform better treatment decision-making as China gains increasing access to amisulpride and olanzapine. Moreover, it is the first study to compare the economic benefits of both medications.
Despite the usefulness of this study, limitations remain. First, as there are several different outcome scales used for schizophrenia patients, data from some scales in the included studies were limited (for example, only one study provided data of relapse rate), thus making it difficult to carry a better meta-analysis with these scales. Secondly, although a majority of included studies carried low and moderate risk of bias, the quality of included Chinese studies was lower than that of foreign studies, especially in terms of unclear bias in random sequence generation, allocation concealment and blinding. High-quality research on Chinese patients is required to assess clinical practices and support guideline recommendations. Thirdly, the heterogeneity of population (such as sex and age differences) included in the trials may affect the efficacy and safety results. Finally, since published cost data for the treatment of adverse events is currently unavailable, cost data were retrieved from clinical expert opinion, which oftentimes require further confirmation by chart reviews, clinical trials or real-world studies. Only drug costs and costs for selected adverse events were taken into account; social costs such as sick absence and unemployment were not considered in the CMA.
Acknowledgements
We sincerely thank Wei Huang and Liping Zhao for their contribution to help conduct the literature review and data extraction for this manuscript. High tribute shall be paid to Dr. Kaida Jiang from Shanghai Mental Health Center, Dr. Fujun Jia from Guangdong General Hospital, Dr. Xiaoping Wang from Xiangya 2nd Hospital, Dr. Qiang Li from Xi’an Jiaotong University affiliated 1st Hospital, Dr. Hong Deng from Hua Xi Hospital of Sichuan University, and Dr. Li Yi from Wuhan Mental Health Center for their expert opinions on relevant local cost data inputs in the analysis.