Literature DB >> 28919704

Secondary prevention of major cerebrovascular events with seven different statins: a multi-treatment meta-analysis.

Ping Zhong1,2, Danhong Wu3, Xiaofei Ye4, Ying Wu2, Tuming Li2, Shuwen Tong2, Xueyuan Liu1,5.   

Abstract

BACKGROUND: Statins have been recommended for the use in atherosclerotic cardiovascular diseases, but different statins have distinct pharmacological characteristics. This multi-treatment meta-analysis aimed to evaluate the efficacy of seven statins in the secondary prevention of major cerebrovascular events (CVEs). METHODS AND ANALYSES: The PubMed, Embase, Cochrane Database of Systematic Reviews and Cochrane Central Register of Controlled Trials were searched to identify studies published between January 1, 2011, and June 30, 2016. The included randomized controlled trials investigated the efficacy of lovastatin, atorvastatin, fluvastatin, simvastatin, pitavastatin, pravastatin or rosuvastatin in the secondary prevention of CVEs. The primary outcomes were CVEs; the secondary outcomes were all-cause death, fatal stroke and nonfatal stroke. Meta-analysis and network meta-analysis were used for data synthesis.
RESULTS: A total of 42 studies with 82,601 patients were included for analysis. In the secondary prevention of cardiovascular diseases, the major CVEs in pravastatin (risk ratio [RR] 0.87, 0.76-0.99)- and atorvastatin (RR 0.59, 0.49-0.72)-treated patients reduced significantly compared with controls. Indirect comparisons with network meta-analysis showed that RR was 0.60 (0.40-0.92) for atorvastatin compared with rosuvastatin. Compared to controls, the all-cause death was reduced by 12% in statins-treated patients (RR 0.88, 0.81-0.96). Indirect comparisons with network analysis showed a significant difference in the nonfatal stroke between fluvastatin-treated patients and lovastatin-treated patients (RR 0.28, 0.07-0.95).
CONCLUSION: Different statins have distinct pharmacological characteristics, and there are differences in statistical and clinical outcomes among several statins.

Entities:  

Keywords:  atherosclerotic cardiovascular disease; cerebrovascular event; controlled trial; primary outcome; randomized

Mesh:

Substances:

Year:  2017        PMID: 28919704      PMCID: PMC5587089          DOI: 10.2147/DDDT.S135785

Source DB:  PubMed          Journal:  Drug Des Devel Ther        ISSN: 1177-8881            Impact factor:   4.162


Introduction

In the past century, the disease profile changed significantly worldwide. Atherosclerotic cardiovascular disease (ASCVD) accounted for 1/10 of causes of death in early 1900s, but it has been the leading cause of death worldwide so far, accounting for one-third of causes of death. The prevalence of ASCVD increases with age. In addition, its prevalence further elevates in late life with the reduced mortality related to infection and malnutrition. Thus, ASCVD is affecting the decision making of world public health policy. Ischemic stroke is one of the most important clinical types of ASCVD and has a high recurrence rate. The ischemic stroke-related neurological impairment and subsequent emotional dysfunction and social dysfunction bring a great burden to the society and the families of these patients. Currently, controlling the serum lipid marker (low-density lipoprotein cholesterol [LDL-C]) is crucial to reduce the recurrence rate of transient ischemic attack (TIA) or ischemic stroke.1 To date, statins (3-hydroxy-3-methylglutaryl-coenzyme A reductase inhibitor) have been widely used in the lipid-lowering therapy. On the basis of findings from randomized controlled trials (RCTs), statins have been a major strategy in reducing the risk for ASCVD.2 Several clinical trials have shown that statins can significantly reduce serum LDL-C and effectively decrease the risk for stroke.3 Statins can reduce the incidence of major cardiovascular events, and thus, they have been recommended for the secondary prevention of ischemic stroke.1,4,5 In addition, there is evidence showing that high-dose statins are better to reduce the risk for stroke compared to standard-dose statins.6 However, there is still controversy on the clinical effects of different statins on the outcomes of ASCVD. A study indirectly compared influence of atorvastatin, pravastatin and simvastatin on the cerebrovascular events (CVEs), but it was a placebo-control study with a small sample size and there were active comparator trials in this study.7 The network meta-analysis was conducted to evaluate the RCT that investigated the effects of primary and secondary prevention with atorvastatin, fluvastatin, lovastatin, pitavastatin, pravastatin, rosuvastatin or simvastatin in CVD patients, but it excluded head–head evaluation of different statins. Although another network meta-analysis used head–head evaluation, but pitavastatin was not investigated.8 Moreover, the incidence of cerebrovascular diseases was not a primary outcome in previous head–head network meta-analysis.9–12 Different statins have distinct pharmacological characteristics. As the number of patients in need for statin therapy continues to increase, information regarding the relative efficacy of statins is needed for better decision making. Meta-analysis with a large amount of updated data may provide true and strict clinical evaluation and accurately assess the therapeutic efficacy. This meta-analysis aimed to systemically evaluate the efficacy of statins in clinical studies that were conducted between statins-treated patients and routine controls or placebo controls and different statin-treated patients. In addition, the role of different statins in the secondary prevention of major CVEs was evaluated in patients with cardiovascular diseases.

Methods and analyses

Systematic review methods

We searched PubMed, Embase, Cochrane Database of Systematic Reviews and Cochrane Central Register of Controlled Trials to identify studies published between January 1, 2011, and June 30, 2016. We identified the studies prior to January 2011 from the bibliography of previously published systematic literature reviews and meta-analyses. We used the search terms “lovastatin”, “atorvastatin”, “fluvastatin”, “simvastatin”, “pitavastatin”, “pravastatin”, “rosuvastatin”, “cardiovascular disease” and “HMG-CoA reductase inhibitors/therapeutic use”. Two reviewers (PZ and DW) independently performed abstract, title and full-text screening and entered data into a data extraction form. A third reviewer (YW) approved the study selection. The inclusion criteria were as follows: 1) open and double-blind RCTs were included; 2) head–head studies or those with placebo, diet or routine therapy as a control were included; 3) patients had cardiovascular diseases; 4) the number of patients was >60; 5) atorvastatin, fluvastatin, lovastatin, pitavastatin, pravastatin, rosuvastatin or simvastatin was used for >4 weeks and 6) the primary outcomes were major CVEs, and the secondary outcomes were all-cause death, fatal stroke and nonfatal stroke. The major CVEs in this study included fatal stroke, nonfatal stroke and TIA; the nonfatal stroke did not include TIA. In addition, clinical studies in which there were patients with renal dysfunction were excluded. The study characteristics, including methods, participants, interventions and outcomes, were extracted from each study (Supplementary material).

Statistical analysis

To summarize all available evidence, we conducted both direct and network meta-analyses. First, we did traditional pairwise meta-analysis for direct comparisons between two treatment arms by Review Manager 5.1. In the conventional direct meta-analysis, two or more studies that compared two interventions of interest were statistically combined. We calculated the pooled risk ratio (RR) with a 95% CI. Heterogeneity was assessed using the Cochran’s Q and I2 statistics. For the Q statistic, a P-value >0.10 and for the χ2 test and for the I2 statistic, an I2 value <25% were interpreted as low-level heterogeneity. A pooled effect was calculated with a fixed-effect model when there was no statistically significant heterogeneity; otherwise, a random-effect model was used. A network meta-analysis was conducted using a Bayesian Markov Chain Monte Carlo method and fitted in R package. Analytical results are presented as RR with 95% credible intervals (CrIs). The RR was estimated using the median of the posterior distribution, and 95% CrIs were obtained based on the 2.5th and 97.5th percentiles of the posterior distribution, which can be interpreted in the same way as conventional 95% CIs. Rankings for the treatment efficacy of the interventions were originally derived from Monte Carlo simulations and presented as the probability of possessing a specific ranking; the probabilities of different rankings of the same treatment were summed to 100%. Pooled results were considered as statistically significant for P<0.05 or if the 95% CI (CrI) did not contain the value 1. In this study, the patient samples from different statins were weighted in both pairwise meta-analysis and network meta-analysis.

Results

General data

A total of 20,770 studies potentially related to the topic were identified, of which 607 studies were included for final analysis and 20,163 unrelated studies that did not meet the inclusion criteria were excluded (Figure 1). In addition, 42 clinical trials published between 1994 and 2016 were included for network meta-analysis. The general information of these studies is presented in Table 1. In the studies included for network meta-analysis, 82,601 subjects received treatment with one of seven statins and 24.1% subjects were female. Of these studies, treatment with one statin was compared with control (placebo treatment, routine treatment or diet treatment) in 32 studies. Of these 32 studies, pravastatin was evaluated in 13 studies,13–25 atorvastatin in seven,26–32 lovastatin in three,33–35 simvastatin in three,36–38 fluvastatin in three,39–41 rosuvastatin in two42,43 and pitavastatin in one.44 In 10 studies, the treatment with one statin was compared with therapy of another statin.45–54 In these 10 studies, a statin was used at two doses in one study,54 the head–head study of atorvastatin and pravastatin was found in four studies,45,46,48,51 head–head study of atorvastatin and rosuvastatin was found in three studies49,50,54 (rosuvastatin at two doses was used in one study), head–head study of atorvastatin and simvastatin was found in two studies52,53 and head–head study of rosuvastatin and simvastatin was found in one study.47 The follow-up period ranged from 143 weeks to 317 weeks. In five studies, the follow-up period was <24 weeks. Figure 2 shows the meta-analysis of seven statins in the prevention of major CVEs.
Figure 1

Flowchart of study inclusion.

Table 1

Characteristics of studies included

YearTrial nameMean age, years% womanTreatmentNumber randomizedMajor cerebrovascular events, nAll-cause death, nFatal stroke, nNonfatal stroke, nTIA, n
1993MARS33589Lovastatin123NR2NRNRNR
589Placebo124NR1NRNRNR
19944S3658.619Simvastatin2,221124182149519
58.618Placebo2,223102256126129
1994MAAS3754.912Simvastatin193NR4NRNRNR
55.611Placebo188NR11NRNRNR
1994CCAIT345318Lovastatin165020NRNR
5319Placebo166020NRNR
1994LRTS356228Lovastatin20303NR0NR
6229Placebo20111NR1NR
1995PLAC-II166315Pravastatin75NR3NRNRNR
6315Placebo76NR5NRNRNR
1995REGRESS1756.50Pravastatin450NR50NRNR
55.90Placebo434NR70NRNR
1995PLAC-I205762Pravastatin2060400NR
5762Placebo2022602NR
1996CARE215914Pravastatin2,08154NRNR54NR
5914Placebo2,07878NRNR78NR
1997PREDICT1558.517Pravastatin347141NRNR
58.215.6Placebo348010NRNR
1998LIPID136217Pravastatin4,512169498NRNRNR
6217Placebo4,502204633NRNRNR
2000GISSP-P1459.713.3Pravastatin2,1382072416NR
6014.2Placebo2,1331988415NR
2000SCAT386113Simvastatin230413NR4NR
619Placebo23026NR2NR
2001MIRACL316535.5Atorvastatin1,538126439NR
6534.1Placebo1,5482468222NR
2002GREACE275822Atorvastatin800923NR9NR
5921Usual care8001740NR17NR
2002FLORIDA396119Fluvastatin265272NRNR
6015Placebo2751111NRNR
2002LIPS416015.8Fluvastatin8442362NRNR
6016.6Placebo8331491NRNR
2002PROSPER – secondary2375.351.7Pravastatin2,8911352982211677
75.451.7Placebo2,91313130614119102
2003TREAT TO6324.3Atorvastatin556000NRNR
TARGET5262.524.8Simvastatin537000NRNR
2004PROVE58.122.2Atorvastatin2,0992146NR21NR
IT-TIMI4558.321.6Pravastatin2,0632166NR21NR
2004PACT24NR23.5Pravastatin1,710NR24NRNRNR
NR24.3Placebo1,698NR37NRNRNR
2004Bae et al286037Atorvastatin1051001NR
6027Usual care1001001NR
2004ALLIANCE3061.117.8Atorvastatin1,2173512135NRNR
61.317.7Usual care1,2253912739NRNR
2004PCS1959.291Pravastatin543503NR
59.992Diet664304NR
2004REVERSAL51NANAAtorvastatin32711NR1NR
NANAPravastatin32711NR1NR
2005PCABG1859.619.7Pravastatin15216010
58.211.9Placebo151611151
2005IDEAL5361.619.2Atorvastatin4,439NR366NRNRNR
61.819.1Simvastatin4,449NR374NRNRNR
2005Stone et al32NR14Atorvastatin9611NR1NR
NR12Placebo10300NR0NR
2005ATHEROMA25NANAPravastatin18651NR5NR
NANADiet18742NR4NR
2006SPARCL266339.7Atorvastatin2,36516521624247153
62.541Placebo2,36631121141280208
2006ASPEN – secondary2960.538Atorvastatin252726NRNRNR
60.437Placebo253927NRNRNR
2007SAGE4672.431.2Atorvastatin446NR6NRNRNR
72.629.9Pravastatin445NR18NRNRNR
2007CORONA427324Rosuvastatin2,5141037281489NR
7324Placebo2,49711575911104NR
2008GISSI-HF436823.8Rosuvastatin2,285826573844NR
6821.4Placebo2,289666442937NR
2008OACIS-LIPID2263.626.7Pravastatin17603NR0NR
62.919.8Usual care17722NR2NR
2009SPACE62.120.7Rosuvastatin633211NR21
ROCKET4762.520.5Simvastatin630016NR02
2010FACS4060.929.5Fluvastatin7811NR1NR
63.234.6Placebo7834NR3NR
2010CENTAURUS49NANARosuvastatin4063203NR
NANAAtorvastatin42304NR0NR
2011SATURN5057.427.1Rosuvastatin5203NRNR3NR
57.925.6Atorvastatin5192NRNR2NR
2012LUNAR5452.911.2Atorvastatin278NR1NRNRNR
5315.320 rosuvastatin277NR0NRNRNR
52.815.940 rosuvastatin270NR2NRNRNR
2013PEARL4462.919.1Pitavastatin289827NR8NR
62.217.8Control288937NR9NR
2015ALPS-AMI4865.719Pravastatin261101455NR
66.319.6Atorvastatin2645941NR

Abbreviations: TIA, transient ischemic attack; NR, not reported; NA, not applicable.

Figure 2

Meta-analysis of seven statins in the prevention of major CVEs.

Notes: Rosuvastatin vs atorvastatin: K=2, n=3,561, I2=0%; RR =0.68 (0.15–3.13); atorvastatin vs simvastatin: K=1, n=1,093, I2=0%; RR = not estimated; rosuvastatin vs control: K=2, n=9,585, I2=61%; RR =1.04 (0.75–1.44); atorvastatin vs pravastatin: K=3, n=5,341, I2=0%; RR =1.20 (0.71–2.00) and atorvastatin vs control: K=7, n=12,768, I2=7%; RR =0.59 (0.49–0.72).

Abbreviations: CVE, cerebrovascular event; RR, risk ratio.

Comparative benefits of statins on major CVEs: findings of the multiple-treatment meta-analyses

In 32 studies comparing statins treatment and control treatment, major CVEs were reported in 27 studies13–15,18–23,25–32,34–36,38–44 in which there were 66,007 patients and a total of 2,057 major CVEs. In the secondary prevention of cardiovascular diseases, results showed that pravastatin and atorvastatin could reduce the incidence of major CVEs by 13% and 41%, respectively, compared with the control group, but there was no significant difference between other statins and control (Table 2). In 10 head–head studies,45–54 the influence of statins on the major CVEs was reported in seven studies,45,47–52 in which there were 9,565 patients and a total of 69 major CVEs. Paired comparison in network meta-analysis showed a significant difference only between atorvastatin and rosuvastatin (RR 1.7,1.10–2.50).
Table 2

Network meta-analysis of prevention of major CVEs: direction comparisons between statin treatment and control treatment as well as different statin treatments

Treatment comparisonRR (95% CI)
Stain treatment vs control treatment
 Pravastatin vs control0.87 (0.76–0.99)
 Atorvastatin vs control0.59 (0.49–0.72)
 Fluvastatin vs control1.01 (0.29–3.45)
 Simvastatin vs control1.23 (0.96–1.59)
 Lovastatin vs control0.33 (0.01–8.05)
 Rosuvastatin vs control1.04 (0.75–1.44)
 Pitavastatin vs control0.89 (0.35–2.26)
 All statins vs control0.88 (0.71–1.10)
Two different statin treatments
 Pravastatin vs atorvastatin1.20 (0.71–2.00)
 Atorvastatin vs rosuvastatin0.68 (0.15–3.13)
 Rosuvastatin vs simvastatin4.98 (0.24–103.45)

Abbreviations: CVEs, cerebrovascular events; RR, risk ratio.

Comparative benefits of statins on all-cause mortality: findings of the multiple-treatment meta-analyses

The all-cause death was investigated in 40 studies,13–20,22–49,51–54 in which there were 76,483 patients and 7,328 deaths. Of included studies, statin treatment was compared with control treatment in 31 studies, in which there were 6,391 deaths occurring in 57,354 patients; comparison between two statin treatments was found in 10 studies,42,45–49,51–54 in which there were 937 deaths occurring in 19,133 patients. Direct meta-analysis showed that the mortality of any cause in statin-treated patients was reduced by 12% compared to the control group (RR 0.88, 0.81–0.96), and a significant difference was only noted between the pravastatin group and the control group (RR 0.84, 0.76–0.94). Comparison between two treatments showed significant difference between pravastatin and atorvastatin (RR 1.60, 1.17–2.19), but network meta-analysis showed a marked difference only between fluvastatin and lovastatin (RR 3.60, 1.10–14.00; Table 3).
Table 3

Network meta-analysis of prevention of major CVEs and death of any cause with seven different statins

Pravastatin0.73 (0.55–1.0)1.1 (0.38–3.3)1.2 (0.82–1.90)1.3 (0.75–2.10)2.8 (0.22–93.00)1.8 (0.55–6.30)1.1 (0.88–1.40)
1.10 (0.91–1.50)Atorvastatin1.5 (0.51–4.5)1.7 (1.10–2.50)1.8 (0.97–2.80)3.8 (0.29–1.3×102)2.4 (0.73–8.50)1.5 (1.10–1.90)
1.30 (0.70–2.50)1.1 (0.61–2.10)Pitavastatin1.1 (0.36–3.30)1.2 (0.36–3.70)2.5 (0.17–95.0)1.6 (0.33–7.8)1.0 (0.35–2.90)
1.00 (0.79–1.60)0.92 (0.70–1.30)0.81 (0.43–1.60)Rosuvastatin1.10 (0.57–1.80)2.3 (0.18–7.7)1.5 (0.44–5.3)0.92 (0.63–1.3)
1.10 (0.84–1.60)1.00 (0.75–1.30)0.88 (0.45–1.70)1.10 (0.73–1.50)Simvastatin2.2 (0.16–72.0)1.4 (0.40–5.0)0.85 (0.56–1.4)
0.37 (0.098–1.20)0.33 (0.09–1.00)0.29 (0.07–1.10)0.35 (0.09–1.20)0.33 (0.09–1.10)Lovastatin0.62 (0.02–11.0)0.39 (0.01–5.0)
1.30 (0.82–2.30)1.20 (0.72–2.00)1.00 (0.49–2.20)1.30 (0.74–2.10)1.20 (0.70–2.00)3.60 (1.10–14.00)Fluvastatin0.62 (0.18–2.0)
0.96 (0.82–1.20)0.86 (0.71–1.00)0.75 (0.41–1.40)0.93 (0.68–1.20)0.84 (0.66–1.10)2.60 (0.83–9.80)0.72 (0.45–1.10)Control

Notes: RR is from the comparison of drugs in the rows and lines. The upper data refer to the influence of statins on major CVEs; the lower data refer to the influence of statins on the death of any cause. The underline indicates RR of comparison between drugs in the row and the line has statistical significance.

Abbreviations: CVEs, cerebrovascular events; RR, risk ratio.

Comparative benefits of statins on nonfatal and fatal strokes: findings of the multiple-treatment meta-analyses

Of the studies on pitavastatin, fatal stroke had never been reported. In 19 studies with 41,144 patients,14,15,17–20,23,26,28,30,31,34,36,39,41–43,48,52 the fatal stroke was reported in 323 patients. In 26 studies,14,18–23,25–28,31,32,35,36,38,40,42–45,47–51 nonfatal stroke was reported as an outcome, and it was found in 1,529 patients among 49,710 patients included in these studies. Direct meta-analysis showed no significant difference between statin treatment and control treatment as well as between two statin treatments. Table 4 summarizes the results of network meta-analysis of fatal stroke and nonfatal stroke. Our results showed that significant difference was observed in the nonfatal stroke only between atorvastatin and simvastatin (RR 1.9, 1.1–3.7).
Table 4

Network meta-analysis of prevention of fatal stroke and nonfatal stroke with seven different statins

Pravastatin0.50 (0.24–1.10)0.76 (0.28–1.70)0.63 (0.16–1.90)9.3×103 (0.20–2.5×1018)1.9 (0.32–14.0)0.57 (0.27–1.0)
0.84 (0.53–1.2)Atorvastatin1.5 (0.57–3.10)1.3 (0.33–3.40)1.9×104 (0.36–5.2×1018)3.8 (0.66–26.0)1.1 (0.57–1.7)
1.1 (0.36–3.3)1.3 (0.43–4.0)Pitavastatin
1.2 (0.73–2.0)1.4 (1.10–3.70)1.0 (0.35–3.4)Rosuvastatin0.83 (0.23–2.5)1.3×104 (0.21–3.4×1018)2.5 (0.45–19.0)0.73 (0.39–1.4)
1.6 (0.85–2.9)1.9 (1.10–3.7)1.5 (0.45–4.9)1.4 (0.67–2.5)Simvastatin1.5×104 (0.27–4.3×1018)3.1 (0.46–29.0)0.90 (0.35–2.6)
1.0 (0.02–58.0)1.2 (0.02–65.0)0.95 (0.02–48.0)0.86 (0.02–51.0)0.62 (0.01–35.0)Lovastatin0.0002 (−1.0×1018–13)−5.9×105 (−2.1×1019–3.2)
0.65 (0.08–4.5)0.79 (0.09–5.5)0.59 (0.06–5.4)0.56 (0.07–3.9)0.40 (0.05–3.0)0.61 (0.006–43.0)Fluvastatin3.4 (0.67–24.0)
1.1 (0.81–1.5)1.3 (0.98–1.9)0.99 (0.35–2.9)0.96 (0.60–1.4)0.67 (0.41–1.2)1.1 (0.02–58.0)1.7 (0.25–14.0)Control

Notes: RR is from the comparison of drugs in the rows and lines. The upper data refer to the influence of statins on fatal stroke; the lower data refer to the influence of statins on the nonfatal stroke. The underline indicates RR of comparison between drugs in the row and the line has statistical significance.

Abbreviation: RR, risk ratio.

Discussion

This meta-analysis was based on 42 studies in which a total of 82,601 subjects randomly received treatment with seven different statins. Statistical and clinical differences were found in several statins. Our results showed that, in the secondary prevention of cardiovascular diseases, the mortality of any cause was reduced by 12% after statin treatment compared to the control treatment; the incidence of major CVEs was reduced by 13% and 41% after treatment with pravastatin and atorvastatin, respectively, compared with the control treatment. Indirect comparison with network meta-analysis showed that rosuvastatin was better than atorvastatin in the prevention of major CVEs and fluvastatin was better than lovastatin in the prevention of nonfatal stroke when statins were used in the secondary prevention of cardiovascular diseases. Statins have pleiotropic effects, including the lipid- lowering, vasodilation, anti-thrombotic, anti-inflammatory and anti-oxidative effects.55–62 Animal experiments and clinical studies have shown that statins may exert neuroprotective effects after acute cerebral infarction.63–65 Our results further confirmed and expanded previous results from meta-analysis. Clinical guideline recommends the use of statins in the secondary prevention of noncardiac stroke.66 To reduce LDL-C has been one of important strategies in the clinical prevention of cardiovascular events, and undoubtedly statins, are the most effective drugs used to reduce LDL-C. Statins may competitively inhibit hydroxymethylglutaryl coenzyme A (HMG-CoA) reductase, which is a rate-limiting enzyme in the endogenous cholesterol synthesis, and then block the metabolism of intracellular hydroxymaleic acid and reduce the endogenous production of cholesterol, exerting lipid-lowering effect. Although different statins have the identical mechanism in their lipid-lowering effect, the difference in the chemical structure among these statins makes their physical characteristics and internal pharmacokinetics different. SPARCL was the only one study that investigated the influence of statins used for secondary prevention on the TIA and stroke,26 but we could not expand their results to the use of other statins. In this study, meta-analysis was conducted in the population with cardiovascular diseases who were medicated with statins for the secondary prevention, and results showed difference among several statins. Probably, the actual difference among other statins might not be identified by this meta-analysis. In this study, the majority of clinical trials included did not fully report the information about the randomization and allocation concealment, which may compromise the overall validity. Of note, the studies on different statins had similarities on the study design and implementation, and the lack of information about the quality assessment might be ascribed to the manuscript drafting but not to the actual defect in study design as shown in other systemic reviews.67 In our study, new network meta-analysis was used, and placebo-controlled and active comparator trials were merged to investigate the head–head studies of statins. Our study was different from previous network analysis: 1) not only placebo-controlled trials but also active comparator trials were included for analysis; 2) our study was an update of previous studies, and studies investigating seven commercially available statins (cerivastatin is not commercially available due to adverse effects) were included for analysis, which was not found in previous meta-analysis of stroke and 3) in this study, the major CVEs served as the main outcomes, but cardiovascular events were used as main outcomes in previous meta-analyses. There were limitations in this study. First, this was a meta-analysis based on previous studies, and the number of studies included was limited. Only a few prospective, head–head clinical trials with clinical outcome were identified in the available studies. Second, the meta-analysis based on the data from published studies was limited by the quality of these studies. For example, the included studies that reported major CVEs might not report the fatal stroke. Third, there was a difference in the results of direct and indirect analyses, but direct comparison would make the results be more likely to be true. This difference might be related to the small sample size and the conservative nature of the Bayesian hierarchical random-effects model.

Conclusion

Different statins have distinct pharmacological characteristics and there are differences of statistical and clinical outcome among several statins.
  66 in total

Review 1.  Statins and stroke: evidence for cholesterol-independent effects.

Authors:  P Di Napoli; A A Taccardi; M Oliver; R De Caterina
Journal:  Eur Heart J       Date:  2002-12       Impact factor: 29.983

2.  Protective effects of statins involving both eNOS and tPA in focal cerebral ischemia.

Authors:  Minoru Asahi; Zhihong Huang; Sunu Thomas; Shin-ichi Yoshimura; Toshihisa Sumii; Tatsuro Mori; Jianhua Qiu; Sepideh Amin-Hanjani; Paul L Huang; James K Liao; Eng H Lo; Michael A Moskowitz
Journal:  J Cereb Blood Flow Metab       Date:  2005-06       Impact factor: 6.200

3.  High-dose atorvastatin after stroke or transient ischemic attack.

Authors:  Pierre Amarenco; Julien Bogousslavsky; Alfred Callahan; Larry B Goldstein; Michael Hennerici; Amy E Rudolph; Henrik Sillesen; Lisa Simunovic; Michael Szarek; K M A Welch; Justin A Zivin
Journal:  N Engl J Med       Date:  2006-08-10       Impact factor: 91.245

4.  Results of the low-dose (20 mg) pravastatin GISSI Prevenzione trial in 4271 patients with recent myocardial infarction: do stopped trials contribute to overall knowledge? GISSI Prevenzione Investigators (Gruppo Italiano per lo Studio della Sopravvivenza nell'Infarto Miocardico).

Authors: 
Journal:  Ital Heart J       Date:  2000-12

5.  Effect of pravastatin on progression of coronary atherosclerosis in patients after coronary artery bypass surgery.

Authors:  Haruo Makuuchi; Akira Furuse; Masahiro Endo; Haruo Nakamura; Hiroyuki Daida; Mikio Watanabe; Yasuo Ohashi; Yasuyuki Hosoda; Saichi Hosoda; Hiroshi Yamaguchi; Hisataka Yasui
Journal:  Circ J       Date:  2005-06       Impact factor: 2.993

6.  The effect of pravastatin on coronary events after myocardial infarction in patients with average cholesterol levels. Cholesterol and Recurrent Events Trial investigators.

Authors:  F M Sacks; M A Pfeffer; L A Moye; J L Rouleau; J D Rutherford; T G Cole; L Brown; J W Warnica; J M Arnold; C C Wun; B R Davis; E Braunwald
Journal:  N Engl J Med       Date:  1996-10-03       Impact factor: 91.245

7.  Pravastatin limitation of atherosclerosis in the coronary arteries (PLAC I): reduction in atherosclerosis progression and clinical events. PLAC I investigation.

Authors:  B Pitt; G B Mancini; S G Ellis; H S Rosman; J S Park; M E McGovern
Journal:  J Am Coll Cardiol       Date:  1995-11-01       Impact factor: 24.094

8.  Randomized, controlled trial of secondary prevention of coronary sclerosis in normocholesterolemic patients using pravastatin: final 5-year angiographic follow-up of the Prevention of Coronary Sclerosis (PCS) study.

Authors:  Tsutomu Nakagawa; Tohru Kobayashi; Nobuhisa Awata; Shinichi Sato; Johan H C Reiber; Hiromu Nakajima; Yumiko N Toyama; Hisatoyo Hiraoka; Osamu Kato; Motohiro Kirino; Tomoko Kobayashi; Yoshihiro Takeda; Kenji Yachiku; Minoru Iida; Tadao Itoh; Nobuhiko Shibata
Journal:  Int J Cardiol       Date:  2004-10       Impact factor: 4.164

9.  Guidelines for prevention of stroke in patients with ischemic stroke or transient ischemic attack: a statement for healthcare professionals from the American Heart Association/American Stroke Association Council on Stroke: co-sponsored by the Council on Cardiovascular Radiology and Intervention: the American Academy of Neurology affirms the value of this guideline.

Authors:  Ralph L Sacco; Robert Adams; Greg Albers; Mark J Alberts; Oscar Benavente; Karen Furie; Larry B Goldstein; Philip Gorelick; Jonathan Halperin; Robert Harbaugh; S Claiborne Johnston; Irene Katzan; Margaret Kelly-Hayes; Edgar J Kenton; Michael Marks; Lee H Schwamm; Thomas Tomsick
Journal:  Circulation       Date:  2006-03-14       Impact factor: 29.690

10.  Primary prevention of cardiovascular mortality and events with statin treatments: a network meta-analysis involving more than 65,000 patients.

Authors:  Edward J Mills; Beth Rachlis; Ping Wu; Philip J Devereaux; Paul Arora; Dan Perri
Journal:  J Am Coll Cardiol       Date:  2008-11-25       Impact factor: 24.094

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1.  The Relationship Between Fasting Blood Glucose Levels and First Ischemic Stroke in Elderly Hypertensive Patients.

Authors:  Yu-Qing Huang; Kenneth Lo; Xiao-Cong Liu; Song-Tao Tang; Cheng Huang; Ying-Qing Feng
Journal:  Risk Manag Healthc Policy       Date:  2020-07-12

2.  Comparative Effect of Statins and Omega-3 Supplementation on Cardiovascular Events: Meta-Analysis and Network Meta-Analysis of 63 Randomized Controlled Trials Including 264,516 Participants.

Authors:  Tung Hoang; Jeongseon Kim
Journal:  Nutrients       Date:  2020-07-25       Impact factor: 5.717

3.  3-n-butylphthalide exerts neuroprotective effects by enhancing anti-oxidation and attenuating mitochondrial dysfunction in an in vitro model of ischemic stroke.

Authors:  Ningyuan Chen; Zhibing Zhou; Ji Li; Bocheng Li; Jihua Feng; Dan He; Yifeng Luo; Xiaowen Zheng; Jiefeng Luo; Jianfeng Zhang
Journal:  Drug Des Devel Ther       Date:  2018-12-14       Impact factor: 4.162

4.  Association of atorvastatin with the risk of hepatotoxicity: a pilot prescription sequence symmetry analysis.

Authors:  Haiping Zhang; Jiani Wu; Zhuolin Zhang; Haisheng Qian; Yifan Wang; Miaomiao Yang; Yinchu Cheng; Shaowen Tang
Journal:  Ther Clin Risk Manag       Date:  2019-06-27       Impact factor: 2.423

5.  Pharmacist role to enhance the prescribing of hospital discharge medications for patients after heart attack.

Authors:  Amina M Jabri; Hayder Ch Assad; Ali Azeez Al-Jumaili
Journal:  Saudi Pharm J       Date:  2020-02-17       Impact factor: 4.330

6.  Management of dyslipidaemia in patients with chronic kidney disease: a position paper endorsed by the Italian Society of Nephrology.

Authors:  Roberto Pontremoli; Vincenzo Bellizzi; Stefano Bianchi; Roberto Bigazzi; Valeria Cernaro; Lucia Del Vecchio; Luca De Nicola; Giovanna Leoncini; Francesca Mallamaci; Carmine Zoccali; Michele Buemi
Journal:  J Nephrol       Date:  2020-02-17       Impact factor: 3.902

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