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BMJ Open logoLink to BMJ Open
. 2016 Mar 17;6(3):e009013. doi: 10.1136/bmjopen-2015-009013

Antiplatelet regimens in the long-term secondary prevention of transient ischaemic attack and ischaemic stroke: an updated network meta-analysis

Peng-Peng Niu 1, Zhen-Ni Guo 1, Hang Jin 1, Ying-Qi Xing 1, Yi Yang 1
PMCID: PMC4800132  PMID: 26988347

Abstract

Objective

To examine the comparative efficacy and safety of different antiplatelet regimens in patients with prior non-cardioembolic ischaemic stroke or transient ischaemic attack.

Design

Systematic review and network meta-analysis.

Data sources

As on 31 March 2015, all randomised controlled trials that investigated the effects of antiplatelet agents in the long-term (≥3 months) secondary prevention of non-cardioembolic transient ischaemic attack or ischaemic stroke were searched and identified.

Outcome measures

The primary outcome measure of efficacy was serious vascular events (non-fatal stroke, non-fatal myocardial infarction and vascular death). The outcome measure of safety was any bleeding.

Results

A total of 36 randomised controlled trials (82 144 patients) were included. Network meta-analysis showed that cilostazol was significantly more effective than clopidogrel (OR 0.77, 95% credible interval 0.60–0.98) and low-dose (75–162 mg daily) aspirin (0.69, 0.55–0.86) in the prevention of serious vascular events. Aspirin (50 mg daily) plus dipyridamole (400 mg daily) and clopidogrel reduced the risk of serious vascular events compared with low-dose aspirin; however, the difference was not statistically significant. Furthermore, low-dose aspirin was as effective as higher daily doses. Cilostazol was associated with a significantly lower bleeding risk than most of the other regimens. Moreover, aspirin plus clopidogrel was associated with significantly more haemorrhagic events than other regimens. Direct comparisons showed similar results as the network meta-analysis.

Conclusions

Cilostazol was significantly more effective than aspirin and clopidogrel alone in the long-term prevention of serious vascular events in patients with prior non-cardioembolic ischaemic stroke or transient ischaemic attack. Cilostazol was associated with a significantly lower bleeding risk than low-dose aspirin (75–162 mg daily) and aspirin (50 mg daily) plus dipyridamole (400 mg daily). Low-dose aspirin was as effective as higher daily doses. However, further large, randomised, controlled, head-to-head trials are needed, especially in non-Asian ethnic groups.

Keywords: cerebral infarction, meta-analysis, platelet aggregation inhibitors, secondary prevention, transient ischemic attack


Strengths and limitations of this study.

  • Since the dose of aspirin ranged from 30 to 1500 mg daily, treatment with aspirin was divided into four different regimens and treatment with aspirin plus dipyridamole was divided into two different regimens.

  • Duration of follow-up was included in the model to perform the network meta-analysis.

  • Estimates from sensitivity analyses were compatible with the main analysis, except that cilostazol was not significantly more effective than clopidogrel and triflusal in preventing serious vascular events when setting the prior on the variance equal to a uniform (0, 1000).

  • Owing to the lack of data and consistent definitions, we did not differentiate between different degrees of bleeding.

  • Only four small trials including 2461 Asian patients were included for the treatment of cilostazol, which decreases the confidence in the observed effect for cilostazol and means the effect of cilostazol may not be generalised to non-Asian populations.

Introduction

Cerebrovascular disease is one of the leading contributors to disease burden and results in nearly 10% of all deaths worldwide.1 Ischaemic stroke is the most common form of cerebrovascular disease. Patients who survive an ischaemic stroke or transient ischaemic attack (TIA) are at increased risk of experiencing another ischaemic stroke. On average, the annual risk for future ischaemic stroke after an initial TIA or ischaemic stroke is approximately 3–4%.2 Moreover, a recurrent stroke event is usually more devastating than the first stroke.3 Therefore, it is important to prevent the occurrence of future stroke among survivors of ischaemic stroke or TIA.

Antiplatelet therapy is one of the major strategies used for preventing recurrent stroke in patients who have previously experienced ischaemic stroke or TIA of non-cardioembolic aetiology. Aspirin is currently the most widely tested antiplatelet agent and, hence, it has the most extensive evidence concerning its benefits in patients with prior ischaemic stroke and TIA.4 In addition to aspirin, there are three other antiplatelet regimens that have been approved by the US Food and Drug Administration for the secondary prevention of ischaemic stroke (ie, clopidogrel, ticlopidine, and a combination of aspirin and dipyridamole). Newer antiplatelet agents, including triflusal and cilostazol, are also potentially effective in the secondary prevention of TIA or ischaemic stroke.5 6 However, no direct comparisons have been made among some of the antiplatelet regimens.

Network meta-analysis can assess the relative effectiveness of two treatments in cases where they have not been compared directly in a trial, but have instead each been compared with other interventions.7 We, therefore, performed a systematic review by using such an analytic approach to provide an up-to-date summary of the randomised controlled trials (RCTs) that have evaluated common antiplatelet agents for the secondary prevention of non-cardioembolic TIA or ischaemic stroke, and to provide an informative comparison of the relative efficacies and bleeding risk of different antiplatelet regimens.

Methods

We followed the guidelines for conducting and reporting systematic reviews and meta-analyses.8 No protocol for this study was registered or published.

Data sources and searches

We systematically searched the EMBASE and PubMed databases for articles published up to 31 March 2015, without language or publication-type restrictions. The search was limited to studies involving human subjects. The search strategy (see online supplementary appendix 1) combined the terms ‘aspirin’, ‘clopidogrel’, ‘ticlopidine’, ‘dipyridamole’, ‘cilostazol’, or ‘triflusal’ and ‘ischemic stroke’ or ‘transient ischemic attack’. Two of the authors (ZNG and HJ) independently performed the literature search. Reference lists of systematic reviews, meta-analyses and included papers were screened. We also searched the Cochrane Central Register of Controlled Trials, ClinicalTrials.gov and Google Scholar, to identify further studies (see online supplementary appendix 1).

Supplementary appendix 1

bmjopen-2015-009013supp_appendix1.pdf (18.6KB, pdf)

Study selection

Two authors (ZNG and YQX) independently screened the articles retrieved through the searches. The study selection was unblinded. The titles and abstracts of the retrieved articles were screened to exclude irrelevant articles. The full texts of the articles that were not excluded were retrieved and read. In the case of duplicate publications, we included papers with the largest sample size or the most complete information. Any disagreements were resolved through a discussion between the reviewers.

Studies were included if they met the following inclusion criteria: randomised, placebo-controlled or head-to-head trials; trials that investigated the efficacy of antiplatelet agents for the secondary prevention of non-cardioembolic TIA or ischaemic stroke; trials that assessed the following antiplatelet agents: aspirin, clopidogrel, ticlopidine, dipyridamole, cilostazol or triflusal; trials with a long-term follow-up (≥3 months); and trials with at least 100 patients per trial arm.9 We excluded studies that investigated the effects of other antiplatelet agents. However, for multiarm trials (≥3 arms) that involved the above antiplatelet agents and other antiplatelet agents, if we can extract two or more comparison arms that meet the criteria (including placebo), the trials will be included and the data of other antiplatelet agents will be ignored.

Data extraction and quality assessment

Data from the included articles were extracted by two independent reviewers (ZNG and HJ). The following information was extracted from each study: acronym of the study or last name of the first author; publication year; country or geographical origin of the investigation; baseline characteristics of the patients; variables related to the interventions, including drug, dose and follow-up duration; number of patients in each group; and outcome data in each group. Discrepancies were resolved through a discussion between the two reviewers. Data from the intention-to-treat analysis were used.

Aspirin was the main comparison arm for many of the studies, and its dose ranged from 30 to 1500 mg daily; treatment with aspirin was divided into the following four regimens, which were similar to those described by the Antithrombotic Trialists’ Collaboration:4 aspirin 30–50 mg daily (very low dose), aspirin 75–162 mg daily (low dose), aspirin 283–330 mg daily (median dose) and aspirin 500–1500 mg daily (high dose). Treatment with aspirin plus dipyridamole was classified into two different regimens: aspirin (50 mg) plus dipyridamole (400 mg) daily and aspirin (990–1300 mg) plus dipyridamole (150–300 mg) daily. The doses of other regimens were relatively consistent among most of the included studies.

The primary outcome measure of efficacy in this study was serious vascular events. The secondary outcome measure of efficacy was recurrent stroke, including both ischaemic stroke and haemorrhagic stroke. The definition of serious vascular events was as described by the Antiplatelet Trialists’ Collaboration—that is, the composite of non-fatal stroke, non-fatal myocardial infarction and vascular death.10 The primary outcome measure of safety in this study was any bleeding (defined as bleeding that occurs in any part of the body). Data of discontinuation due to adverse events were reported.

The risks of bias of the included studies were assessed unblinded by using Cochrane Collaboration's tool,11 which categorises biases according to the following key domains: 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) and reporting bias (selective reporting). The risk of bias for each domain can be expressed as ‘low risk’, ‘unclear risk’, or ‘high risk’. Studies with a low risk of bias in all domains are considered to have a low risk of bias, those with a high risk of bias in one or more domains are considered to have a high risk of bias and those with an unclear risk of bias in one or more domains are considered to have an unclear risk of bias. The risk of bias was assessed by two independent reviewers (HJ and YQX). Discrepancies between reviewers were resolved through a discussion between them.

Data synthesis and analysis

We performed the traditional meta-analysis with STATA, V.12.0 (Stata Corporation, College Station, Texas, USA). We measured statistical heterogeneity, using the Q statistic and I2 statistic. Heterogeneity existed if the Q statistic was p<0.1 or the I2 statistic was I2>50%. The DerSimonian and Laird random-effects model was chosen for all the analyses.12 ORs and 95% CIs were calculated.

We performed the network meta-analysis within a Bayesian framework, using the Markov chain Monte Carlo methods in WinBUGS 1.4 (Medical Research Council Biostatistics Unit, Cambridge, UK).9 13 The model (see online supplementary appendix 2) uses the number of patients experiencing an event, total number of patients and duration of follow-up,13 to estimate the ORs and corresponding 95% credible intervals (CrIs, the Bayesian analogues of 95% CIs).13 14 The overall residual deviance and deviance information criterion (DIC) were used both to compare fixed-effects and random-effects models of network meta-analysis and to ensure that the overall fit is adequate. The choice of the network meta-analysis model was based on the overall residual deviance and DIC. Lower values suggest a better model.15 The results are based on 100 000 iterations with a burn-in of 50 000. The analysis was based on vague priors for treatment effects (θ ∼ N(0, 1002)) and between-study SD (τ ∼ uniform (0, 2)) (random-effects model), which were recommend by Dias et al.13 16 Sensitivity to the choice of prior distribution was evaluated by setting the prior on the between-study SD to a uniform (0, 100) and on the variance equal to a uniform (0, 1000), to check the variation of the estimates.17 Convergence was assessed using the Brooks-Gelman-Rubin diagnostic tool.18 19 Convergence was deemed to be achieved if widths of individual runs and pooled runs stabilised around a same value and their ratio was around 1.16 18

Supplementary appendix 2

bmjopen-2015-009013supp_appendix2.pdf (33.9KB, pdf)

We performed a sensitivity analysis of the network meta-analysis by using the random-effects model if the fixed-effects model was chosen on the basis of the model fit. The random-effects model was then used for all of the remaining sensitivity analyses. We performed sensitivity analyses by treating two doses of aspirin (75–162 mg daily and 283–330 mg daily) as the same regimen. We also performed sensitivity analyses restricted to studies with a low risk of bias, those with blinded adjudication of events, those with adequate concealment of allocation, those with a low risk of attrition bias and those initiated after the year 1980; we excluded studies with follow-up duration of <2 years.9

The surface under the cumulative ranking curve and rankograms was used to provide a hierarchy of the regimens.20 We constructed comparison-adjusted funnel plots to examine the small study effects.21 The ‘loop-specific approach’ was used to evaluate inconsistencies in all closed loops of evidence formed by three (triangular loop) or four (quadratic loop) treatments within each network.21–23 We also compared the results of the consistency model with those of the inconsistency model. A comparison between the deviance and DIC statistics of the consistency and inconsistency models provides an omnibus test of consistency.24 All the analyses were performed using Stata V.12.0 and WinBUGS 1.4.

Results

Figure 1 shows the flow diagram of study selection. Online supplementary appendix 3 shows the characteristics of the included studies and treatment arms. Online supplementary appendix 4 shows the data of the outcome measures. According to our search strategies, 11 781 records were initially identified. Two studies were excluded because their outcome data were not available.25 26 A total of 36 RCTs with 82 144 patients (range, 203–20 332) were included in this meta-analysis.27–62 One of the included RCTs was retrieved by screening the references of a systematic review.29 Data of stroke or TIA subgroups of two large-scale randomised trials were extracted.41 57 There were 3 three-arm trials and 1 four-arm trial. Fifteen antiplatelet regimens were analysed, including four different aspirin regimens and two different aspirin plus dipyridamole regimens. The included studies were published between 1977 and 2013. The mean patient age at baseline was 65 years, and the mean follow-up duration was 26.9 months. A total of 11 481 (14.0%) serious vascular events occurred in 77 study arms, and 6568 (9.5%) stroke events occurred in 70 study arms.

Figure 1.

Figure 1

Flow diagram of study selection.

Supplementary appendix 3

bmjopen-2015-009013supp_appendix3.pdf (106.6KB, pdf)

Supplementary appendix 4

bmjopen-2015-009013supp_appendix4.pdf (56.6KB, pdf)

Assessment of risk of bias for included studies

Of the 36 studies, some were deemed to be of high or unclear risk of bias in the following domains: random sequence generation (n=3, 8.3%), allocation concealment (n=3, 8.3%), blinding of participants and personnel (n=3, 8.3%), blinding of outcome assessment (n=5, 13.9%), incomplete outcome reporting (n=5, 13.9%) and selective reporting (n=4, 11.1%). Most of the included studies (n=29; 80.6%) were judged to have a low risk of bias. The risk of bias is summarised in online supplementary appendix 5.

Supplementary appendix 5

bmjopen-2015-009013supp_appendix5.pdf (30KB, pdf)

Serious vascular events

Figure 2 shows the network of antiplatelet regimens. Table 1, figure 3 and online supplementary appendix 6 show the results of the network meta-analysis. The random-effects model was chosen for the network meta-analysis because of a better model fit. Low, median and high doses of aspirin (75–1500 mg daily); two regimens of aspirin plus dipyridamole; clopidogrel; ticlopidine; cilostazol; and aspirin plus clopidogrel, were significantly more effective than placebo in preventing serious vascular events. Compared with very low (30–50 mg daily), low (75–162 mg daily), median (283–330 mg daily) and high (500–1500 mg daily) doses of aspirin, cilostazol was associated with a significant reduction of serious vascular events. The ORs (95% CrIs) were 0.66 (0.51–0.87), 0.69 (0.55–0.86), 0.67 (0.53–0.87) and 0.69 (0.53–0.91), respectively. Cilostazol was also significantly more effective than clopidogrel (OR 0.77, 95% CrI 0.60–0.98), ticlopidine (OR 0.71, 95% CrI 0.54–0.94) and triflusal (OR 0.69, 95% CrI 0.51–0.98) in preventing serious vascular events. Cilostazol reduced the risk of serious vascular events when compared with aspirin (50 mg daily) plus dipyridamole (400 mg daily); however, the difference was not significant (OR 0.80, 95% CrI 0.62–1.01). Aspirin (50 mg daily) plus dipyridamole (400 mg daily) and clopidogrel reduced the risk of serious vascular events when compared with low-dose aspirin (75–162 mg daily); however, the differences had no statistical significance. Aspirin plus clopidogrel was significantly more effective than very low (OR 0.81, 95% CrI 0.68–0.98), low (OR 0.84, 95% CrI 0.72–0.98) and median (OR 0.83, 95% CrI 0.71–0.96) doses of aspirin, for preventing serious vascular events. There were no significant differences between different doses of aspirin in preventing serious vascular events. The results of the traditional meta-analysis were compatible with those of the network meta-analysis (table 1 and online supplementary appendix 6).

Figure 2.

Figure 2

Network plot of antiplatelet regimens. The circle size is proportional to the sample size, and the line width is proportional to the sample size of each direct comparison. Next to the treatments is the sample size for each treatment. A, aspirin; D, dipyridamole; P, placebo; TF, triflusal; TC, ticlopidine; CL, cilostazol; C, clopidogrel; A1, aspirin (30–50 mg) daily; A2, aspirin (75–162 mg) daily; A3, aspirin (283–330 mg) daily; A4, aspirin (500–1500 mg) daily; AD1, aspirin (50 mg) plus dipyridamole (400 mg) daily; AD2, aspirin (990–1300 mg) plus dipyridamole (150–300 mg) daily.

Table 1.

Comparison of different antiplatelet regimens for the secondary prevention of serious vascular events

graphic file with name bmjopen2015009013ileq01.jpg

A, aspirin; A2, aspirin (75–160 mg) daily; A1, aspirin (30–50 mg) daily; A3, aspirin (283–330 mg) daily; A4, aspirin (500–1500 mg) daily; AD1, aspirin (50 mg) plus dipyridamole (400 mg) daily; AD2, aspirin (990–1300 mg) plus dipyridamole (150–300 mg) daily. Comparisons between regimens should be read from right to left. The top half of the table shows the results of direct comparisons (ORs and 95% CIs), whereas the bottom half shows the results of network meta-analysis (ORs and 95% credible intervals). For all data, ORs <1 favour the right regimens; to obtain ORs for comparisons in the opposite direction, reciprocals should be taken. The results for the regimens of aspirin plus cilostazol, aspirin plus ticlopidine and dipyridamole are presented in the S6 File.

“—” indicates that no direct comparison is available.

*Statistical heterogeneity was found (p-for-heterogeneity <0.1or I2>50%).

Figure 3.

Figure 3

Estimated ORs and corresponding 95% credible intervals. Results from the network meta-analyses for different antiplatelet regimens compared with placebo are presented. The size of the squares is proportional to the statistical precision of the estimates.

Supplementary appendix 6

bmjopen-2015-009013supp_appendix6.pdf (81.5KB, pdf)

Recurrent stroke

Thirty-three trials reported recurrent stroke events. The random-effects model was chosen for the network meta-analysis because of a better model fit. Network meta-analysis showed that aspirin plus clopidogrel, two regimens of aspirin plus dipyridamole, low (75–162 mg daily) and high (500–1500 mg daily) doses of aspirin, clopidogrel, ticlopidine and cilostazol, were significantly more effective than placebo in preventing recurrent stroke (figure 3). Cilostazol was significantly more effective than ticlopidine and any dose of aspirin in preventing recurrent stroke. Cilostazol reduced the risk of stroke when compared with aspirin (50 mg) plus dipyridamole (400 mg) daily (OR 0.75, 95% CrI 0.52–1.02) and clopidogrel (OR 0.76, 95% CrI 0.51–1.05); however, the difference had no statistical significance. There were no significant differences between different doses of aspirin for preventing stroke. The results of the traditional meta-analysis were compatible with those of the network meta-analysis. Online supplementary appendix 7 shows the results of the network and traditional meta-analyses.

Supplementary appendix 7

bmjopen-2015-009013supp_appendix7.pdf (80.5KB, pdf)

Bleeding events

Thirty trials reported bleeding events. The random-effects model was chosen for the network meta-analysis because of a better model fit. Network meta-analysis showed that four regimens of aspirin, aspirin (50 mg) plus dipyridamole (400 mg) daily, aspirin (990–1300 mg) plus dipyridamole (150–300 mg) daily, clopidogrel, ticlopidine and aspirin plus clopidogrel, were significantly associated with more haemorrhagic events than placebo (figure 3). Cilostazol was associated with more haemorrhagic events than placebo; however, the difference had no statistical significance (OR 1.18, 95% CrI 0.80–1.79). Cilostazol was significantly associated with less haemorrhagic events than aspirin (low, median and high doses), aspirin (50 mg) plus dipyridamole (400 mg) daily and aspirin plus clopidogrel. Cilostazol was associated with less haemorrhagic events than clopidogrel (OR 0.68, 95% CrI 0.41–1.05) and ticlopidine (OR 0.56, 95% CrI 0.34–1.01); however, the differences had no statistical significance. Aspirin plus clopidogrel was significantly associated with more haemorrhagic events than all of the above regimens. Direct comparisons showed similar results as the network meta-analysis. Online supplementary appendix 8 shows the results of direct comparisons and network meta-analysis.

Supplementary appendix 8

bmjopen-2015-009013supp_appendix8.pdf (79.9KB, pdf)

Sensitivity analyses, rankings and small study effects

The random-effects model was used for performing all the sensitivity analyses (see online supplementary appendix 6–8). The ORs were similar to those derived for the main analysis for all outcomes and regimens, and overlapping 95% CrIs indicated that estimates from all sensitivity analyses were compatible with the main analysis. Online supplementary appendix 9 shows that the results of ORs and 95% CrIs kept essentially unchanged for most of the comparisons when using different prior distributions. However, cilostazol was not significantly more effective than clopidogrel (OR 0.77, 95% CrI 0.58–1.00) and triflusal (OR 0.69, 95% CrI 0.50–1.01) in preventing serious vascular events when setting the prior on the variance equal to a uniform (0, 1000). Online supplementary appendix 10 presents the rankings of efficacy and safety of different regimens. Rankings of both the main and sensitivity analyses showed that cilostazol was the best option for preventing serious vascular events and recurrent stroke. Cilostazol was associated with a lower risk of bleeding than all the other effective regimens. The symmetry of comparison-adjusted funnel plots indicated that there was no evidence of small study effects (see online supplementary appendix 11).

Supplementary appendix 9

bmjopen-2015-009013supp_appendix9.pdf (68.1KB, pdf)

Supplementary appendix 10

bmjopen-2015-009013supp_appendix10.pdf (370.1KB, pdf)

Supplementary appendix 11

bmjopen-2015-009013supp_appendix11.pdf (125.1KB, pdf)

Inconsistency

Online supplementary appendix 12 and table 2 show the inconsistencies of the test results. For outcome measures of serious vascular events and recurrent stroke, the results suggested no evidence of inconsistency in the networks. For the any bleeding outcome measure, the ‘loop-specific approach’ showed that the 95% CrI (1.07–5.02) did not overlap with the value of 1 for one loop, and the mean ratio of two ORs (4.158) was large for another loop. The omnibus test also suggested evidence of inconsistency in the network of the any bleeding measure (table 2). The comparison between the deviance of the consistency and inconsistency models showed that the likely sources of inconsistency were the ECLIPse and CAIST trials. The inconsistency turned negative, and the main results of network meta-analysis were essentially unchanged after excluding these two trials. We found that these two trials had a relatively shorter follow-up (3 months), which may have led to increased heterogeneity. On the other hand, sensitivity analysis by excluding trials with <2 years’ follow-up duration showed similar results as the main analysis for the any bleeding measure.

Table 2.

Posterior summaries from random-effects consistency and inconsistency models

Inconsistency model
Consistency model
Outcome measures Resdev DIC Resdev DIC
Serious vascular events 76.81 588.566 71.41 568.622
Recurrent stroke 70.59 516.589 70.07 507.482
Any bleeding 69.6 441.208 71.73 436.598
Any bleeding* 66.36 426.594 65.61 414.301

Lower values of Resdev and DIC indicate a better model fit. For serious vascular events and recurrent stroke, the consistency model had a lower Resdev and DIC, which suggests that there was no evidence of inconsistency. For the outcome of any bleeding, the inconsistency model had a lower Resdev. However, Resdev and DIC were lower in the consistency model after excluding the ECLIPse and CAIST trials.

*The ECLIPse and CAIST trials were excluded.

DIC, deviance information criterion; Resdev, posterior mean of the residual deviance.

Supplementary appendix 12

bmjopen-2015-009013supp_appendix12.pdf (478.7KB, pdf)

Discontinuation owing to adverse events

Twenty-four studies reported discontinuation owing to adverse events. The random-effects network meta-analysis showed that aspirin (50 mg) plus dipyridamole (400 mg) daily was associated with a significantly higher risk of discontinuation than very low to median doses of aspirin (30–330 mg daily), and that aspirin (500–1500 mg) daily, cilostazol and ticlopidine were associated with a significantly higher risk of discontinuation than placebo. The main results of the traditional random-effects meta-analysis revealed that cilostazol was associated with a significantly higher risk of discontinuation than aspirin (75–162 mg) daily; aspirin (50 mg) plus dipyridamole (400 mg) daily was associated with a significantly higher risk of discontinuation than clopidogrel; and aspirin 50 mg plus dipyridamole 400 mg daily was associated with a higher risk of discontinuation than low-dose aspirin, although the difference was not significant. Online supplementary appendix 13 shows the data and results of the analyses.

Supplementary appendix 13

bmjopen-2015-009013supp_appendix13.pdf (82.2KB, pdf)

Discussion

In this systematic review of RCTs assessing antiplatelet regimens for the secondary prevention of TIA or ischaemic stroke, 36 trials involving 82 144 patients were incorporated. The main findings of this review were that cilostazol was better than other antiplatelet regimens in the long-term secondary prevention of non-cardioembolic TIA or ischaemic stroke, and that low-dose aspirin (75–162 mg daily) was as effective as higher daily aspirin doses.

To date, two network meta-analyses have been conducted to assess the effects of different antiplatelet regimens in the secondary prevention of non-cardioembolic TIA or ischaemic stroke. The first meta-analysis showed that using a combination of aspirin and dipyridamole was better than using thienopyridines or aspirin alone in the secondary prevention of serious vascular events after TIA or ischaemic stroke.63 The second meta-analysis mainly showed that aspirin plus dipyridamole was more protective than aspirin alone for preventing recurrent stroke after TIA or ischaemic stroke.64 The inconsistency between the results of this review and published reviews may be mainly attributed to the following factors. First, cilostazol was not included in the first review. Second, the results of the PROFESS trial were published after the first review.54 Third, some studies were not included in the second review. For example, two studies that assessed the effect of cilostazol were not included in the second review.44 59 Lastly, the dose–response effect of aspirin was not investigated in the published reviews.

In this study, the results suggested that low-dose aspirin (75–162 mg) was as effective as higher aspirin doses for preventing serious vascular events and recurrent stroke in patients with a prior stroke or TIA, which was consist with previous studies.4 65 66 Even though there was no statistical significance, we did find that high-dose aspirin (500–1500) was associated with a higher risk of bleeding than low-dose aspirin (OR 1.15, 95% CrI 0.72–1.71). Moreover, higher dose of aspirin was associated with a higher risk of gastrointestinal side effects.40 So, it seems that low-dose aspirin is a more reasonable option than higher aspirin doses for routine long-term secondary prevention.

We believe that the protective effect of cilostazol can be ascribed not only to the antiplatelet effect but also to effects on other factors that are associated with thrombus formation. Cilostazol can increase the production of nitric oxide in human vascular endothelial cells, which can cause the dilation of blood vessels.67 Cilostazol also can inhibit smooth muscle cell proliferation, reduce intracellular calcium ion concentrations, increase plasma high-density lipoprotein-cholesterol levels, reduce plasma triglyceride levels, potentiate angiogenesis and reduce inflammation.67 These properties could potentially contribute to the prevention of secondary serious vascular events associated with this drug.

Previous studies have shown that some adverse reactions, other than haemorrhage, such as headache, palpitation, dizziness and tachycardia, occur more frequently in patients who use cilostazol.44 56 These adverse events may be related to vasodilatation induced by the relaxing effect of cilostazol on the vascular smooth muscle.68 This review also showed that cilostazol was associated with a significantly higher risk of discontinuation owing to adverse events than low-dose aspirin (75–162 mg daily). However, almost all of the aforementioned symptoms were typically mild or moderate, and all symptoms resolved after the discontinuation or dose tapering of cilostazol.44 56 Incremental increases in dose from 50 mg might help avoid these adverse events in some patients.56

The present review has some limitations. First, the patient characteristics were heterogeneous across the trials, which is a significant limitation of this study. It is plausible that confounders such as age, sex, hypertension, diabetes mellitus and smoking, explain much of the observed effects. Second, the effects of some of the combined regimens were inconsistent with the effects of the corresponding single drugs. For example, aspirin plus cilostazol was not superior to placebo, which was inconsistent with the effect of cilostazol alone. One reason for this discrepancy may be the very small sample size of the aspirin plus cilostazol group (n=370), which could have led to low statistical power.69 Third, although cardioembolic stroke was an exclusion criterion for all of the included trials, the strategies adopted in each trial to rule out cardioembolic stroke were probably suboptimal. A recent study showed that long-term monitoring with an insertable cardiac monitor was more effective than conventional follow-up for detecting atrial fibrillation after cryptogenic stroke.70 Fourth, a much more relevant safety end point such as major bleeding would be better. However, owing to the lack of data and consistent definitions, we did not differentiate between different degrees of bleeding. Fifth, we did not investigate different stroke subtypes and the severity of the cerebrovascular event because of lack of data or evidence. Sixth, a Binomial model with a cloglog link was used to approximate a Poisson process model in this study. A key assumption of this model is that in each arm of each trial the hazard is constant over the follow-up period.13 The model choice is a limitation of this study because it is unlikely that the hazard is constant in each arm of each included trial. Last, but important, the sample size and number of events for the arm of cilostazol were too small. There were only four small studies (2461 patients) with less than 200 serious vascular events, which decreases the confidence in the observed effect for cilostazol. Moreover, all trials that investigated the effect of cilostazol were performed in patients of Asian descent; therefore, the effect of cilostazol may not be generalised to non-Asian populations.

Conclusions

In conclusion, this meta-analysis, which combined sources of direct and indirect evidence, provided an overview of the efficacy and safety of different antiplatelet regimens in patients with a prior non-cardioembolic ischaemic stroke or TIA. Low-dose aspirin (75–162 mg daily), aspirin (50 mg) plus dipyridamole (400 mg) daily, clopidogrel and cilostazol can be used in the long-term secondary prevention of non-cardioembolic ischaemic stroke or TIA, among which cilostazol may be the best choice. Low-dose aspirin (75–162 mg daily) is as effective as higher daily doses. The combination of aspirin and clopidogrel significantly increases the risk of haemorrhage relative to other regimens and should not be used for routine long-term secondary prevention after an ischaemic stroke or TIA. Further large randomised, controlled head-to-head trials are needed to confirm these conclusions, especially in other ethnic groups.

Acknowledgments

The authors would like to thank Editage (http://www.editage.com) for English language editing.

Footnotes

Contributors: P-PN and YY contributed to the conception and design of the study, analysis and interpretation of the data and drafting of the work. Z-NG, HJ and Y-QX contributed to the design of the study, the acquisition of data and drafting of the work. All the authors approved the publication of the meta-analysis.

Funding: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

Competing interests: None declared.

Provenance and peer review: Not commissioned; externally peer reviewed.

Data sharing statement: No additional data are available.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary appendix 1

bmjopen-2015-009013supp_appendix1.pdf (18.6KB, pdf)

Supplementary appendix 2

bmjopen-2015-009013supp_appendix2.pdf (33.9KB, pdf)

Supplementary appendix 3

bmjopen-2015-009013supp_appendix3.pdf (106.6KB, pdf)

Supplementary appendix 4

bmjopen-2015-009013supp_appendix4.pdf (56.6KB, pdf)

Supplementary appendix 5

bmjopen-2015-009013supp_appendix5.pdf (30KB, pdf)

Supplementary appendix 6

bmjopen-2015-009013supp_appendix6.pdf (81.5KB, pdf)

Supplementary appendix 7

bmjopen-2015-009013supp_appendix7.pdf (80.5KB, pdf)

Supplementary appendix 8

bmjopen-2015-009013supp_appendix8.pdf (79.9KB, pdf)

Supplementary appendix 9

bmjopen-2015-009013supp_appendix9.pdf (68.1KB, pdf)

Supplementary appendix 10

bmjopen-2015-009013supp_appendix10.pdf (370.1KB, pdf)

Supplementary appendix 11

bmjopen-2015-009013supp_appendix11.pdf (125.1KB, pdf)

Supplementary appendix 12

bmjopen-2015-009013supp_appendix12.pdf (478.7KB, pdf)

Supplementary appendix 13

bmjopen-2015-009013supp_appendix13.pdf (82.2KB, pdf)


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