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Comparative effectiveness of antihypertensive medication for primary prevention of cardiovascular disease: systematic review and multiple treatments meta-analysis

BMC Medicine volume 10, Article number: 33 (2012) Cite this article

Abstract

Background

We conducted a systematic review of evidence from randomized controlled trials to answer the following research question: What are the relative effects of different classes of antihypertensive drugs in reducing the incidence of cardiovascular disease outcomes for healthy people at risk of cardiovascular disease?

Methods

We searched MEDLINE, EMBASE, AMED (up to February 2011) and CENTRAL (up to May 2009), and reference lists in recent systematic reviews. Titles and abstracts were assessed for relevance and those potentially fulfilling our inclusion criteria were then assessed in full text. Two reviewers made independent assessments at each step. We selected the following main outcomes: total mortality, myocardial infarction and stroke. We also report on angina, heart failure and incidence of diabetes. We conducted a multiple treatments meta-analysis using random-effects models. We assessed the quality of the evidence using the GRADE-instrument.

Results

We included 25 trials. Overall, the results were mixed, with few significant dif-ferences, and with no drug-class standing out as superior across multiple outcomes. The only significant finding for total mortality based on moderate to high quality evidence was that beta-blockers (atenolol) were inferior to angiotensin receptor blockers (ARB) (relative risk (RR) 1.14; 95% credibility interval (CrI) 1.02 to 1.28). Angiotensin converting enzyme (ACE)-inhibitors came out inferior to calcium-channel blockers (CCB) regarding stroke-risk (RR 1.19; 1.03 to 1.38), but superior regarding risk of heart failure (RR 0.82; 0.69 to 0.94), both based on moderate quality evidence. Diuretics reduced the risk of myocardial infarction compared to beta-blockers (RR 0.82; 0.68 to 0.98), and lowered the risk of heart failure compared to CCB (RR 0.73; 0.62 to 0.84), beta-blockers (RR 0.73; 0.54 to 0.96), and alpha-blockers (RR 0.51; 0.40 to 0.64). The risk of diabetes increased with diuretics compared to ACE-inhibitors (RR 1.43; 1.12 to 1.83) and CCB (RR 1.27; 1.05 to 1.57).

Conclusion

Based on the available evidence, there seems to be little or no difference between commonly used blood pressure lowering medications for primary prevention of cardiovascular disease. Beta-blockers (atenolol) and alpha-blockers may not be first-choice drugs as they were the only drug-classes that were not significantly superior to any other, for any outcomes.

Review registration: CRD database ("PROSPERO") CRD42011001066

Peer Review reports

Background

Rationale

Cardiovascular diseases are a major public health challenge, representing 10% of the global burden of disease [1]. The annual number of deaths caused by cardiovascular disease is expected to rise by more than 33% over the coming two or three decades [2]. Hypertension is among the most important modifiable risk-factors for cardiovascular diseases [3]. Meta-analyses of placebo-controlled trials of antihypertensive medication have shown that such treatment can prevent, or postpone myocardial infarction and stroke [4]. But the key question remains: Which of the many available types of blood pressure lowering drugs is the better choice as first-line medication?

Several clinical trials and systematic reviews have addressed this issue, but have failed to convincingly show that one or more drug-classes are superior to the others [5–9]. Still, controversy remains about possible important differences between the various drugs. The findings from the alpha-blocker arm of the ALLHAT-trial a decade ago [10], and reviews in recent years assessing the effectiveness of beta-blocking agents [11, 12] cast doubt about the assumption that all antihypertensive drugs are equally effective with regards to cardiovascular disease prevention. Also, recent systematic reviews have found potentially important differences regarding their effectiveness for some specific outcomes [13, 14].

Systematic reviews of randomized controlled trials comparing different drugs provide evidence for decisions about choice of antihypertensive medication. Unfortunately, direct comparative studies are lacking for many of the competing drug-classes. Conventional meta-analyses of antihypertensive medication, therefore, typically provide comparative effectiveness estimates for only some drug-comparisons, that is, those that have been tested head-to-head in clinical trials. However, a decision maker would want to have effect-estimates for as many comparisons as possible, preferably with a ranking of the various drugs. Multiple treatments (network) meta-analyses provide this by utilizing indirect comparisons, making it possible to estimate the comparative effectiveness of drugs that have not been tested directly in clinical trials [8, 13, 14].

The most recent systematic review addressing several of the most clinically important outcomes and using multiple treatments meta-analysis of antihypertensive drug therapy was published by Psaty and colleagues in 2003 [8]. An update is warranted to reflect the current evidence-base in the field and to address some shortcomings of the earlier review, for example, that the authors neither explicitly assessed the risk of bias in the included studies, nor graded the quality of the overall body of evidence.

A broad systematic review of various interventions for primary prevention of cardiovascular diseases was recently requested by the Norwegian Directorate for Health [15, 16]. The current paper is an updated and substantially revised version of that report's section on antihypertensive treatment.

Objectives

Our study was designed to answer the following research question: What are the relative effects of different classes of antihypertensive drugs in reducing the incidence of cardiovascular disease outcomes for healthy people at risk of cardiovascular disease?

Methods

Protocol

Methods for this review were specified in advance, and registered in the PROSPERO-database [17].

Eligibility criteria

We only included randomized controlled trials comparing one or more drugs against each other, or no active treatment. Since our focus was on primary prevention, that is, the participants should be free from cardiovascular disease, we pragmatically excluded trials where more than half the participants had had a myocardial infarction, stroke or other significant cardiovascular event. We also excluded studies done exclusively in selected subgroups of patients with hypertension, for example, patients with diabetes or microalbuminuria.

Only trials of drugs belonging to commonly used "drug-classes" were included: Diuretics, beta-blockers, calcium-channel blockers (CCB), angiotensin converting enzyme inhibitors (ACE-inhibitors), angiotensin receptor blockers (ARB), and alpha-blockers. Because we were only interested in studies of "low-dose" diuretics, we excluded trials where the maximum dosage in the treatment protocol was higher than the "optimal range" as proposed by the Joint National Committee U.S. guidelines [18] and the authors of a recent Cochrane review [19].

To be considered for inclusion, a trial had to have cardiovascular morbidity or mortality as a primary outcome, either explicitly stated by the authors or based on our judgement. In practice, this meant excluding many smaller studies, typically designed to evaluate effects on surrogate outcomes such as blood pressure. Some of these trials reported morbidity and mortality outcomes in addition to their primary surrogate outcome. We disregarded these data in the belief that the information was not likely to be important given the availability of findings from large-scale studies with morbidity and mortality as the main outcomes. By doing this, we also reduced the risk of introducing certain biases in our analyses, for example, due to selective reporting of findings, which is likely to be a greater problem with smaller studies [20].

Information sources and search

We searched MEDLINE, EMBASE, AMED (up to February 2011) and CENTRAL (up to May 2009). See Additional file 1 for the complete search strategy. We also studied the reference lists in recent systematic reviews. We did not apply any language re-strictions.

Study selection

We first assessed the relevance of titles and abstracts that the search yielded. Secondly, potentially relevant articles were assessed in full text. At each step two reviewers made independent assessments.

Data collection process

Data extraction was done independently by two reviewers using a simple, standardized form.

Data items

We extracted, where possible, data for the following main outcomes from all the included studies: total mortality, myocardial infarction and stroke. In addition, we extracted data on the following outcomes: angina, heart failure and diabetes.

Risk of bias in individual studies

Studies fulfilling our eligibility criteria were assessed for internal validity at the study level by two reviewers independently using a standard check list [21]. Studies were excluded if the validity was judged as "low".

At each step disagreements between two reviewers' assessments were resolved through discussion, for example, through e-mail discussions or at plenary meetings for the whole group of reviewers.

Summary measures

We expressed the comparative effectiveness of the treatments as the relative risk (RR) of an outcome, with 95% credibility intervals (CrIs). The credibility interval is the Bayesian analogue to confidence intervals used in traditional frequentist statistical approaches. We considered a result "significant" if the CrI did not include RR = 1.

We also ranked the different drug-classes in terms of their likelihood of leading to the best results for each outcome. We chose to report on the probability that a drug-class would be among the three best drugs for each outcome.

Synthesis of results

The analysis was primarily based on Multiple Treatments Meta-analysis (MTM) as described by Salanti [22]. We used the arm-based network meta-analyses method (a Bayesian method based on Markov Chain Monte Carlo simulation) [22]. All MTM were performed using Winbugs version 1.4.3 (Imperial College and MRC, UK). We utilized random effects models. The statistical analysis is based on binomial likelihoods, with vague priors for the trial baselines, basic parameters (normal distribution with mean 0 and standard deviation 0.0001) and the random effects standard deviation (uniformly distributed i in the interval 0 to 2), and takes the correlation structure induced by multi-arm trials into account. We have used a random effects model which follows the Normal distribution with 0 as the mean.

We checked for inconsistency between direct and indirect evidence by "node-splitting" [23]. We calculated the direct and indirect estimates of effect and the corresponding Bayesian "P-values" for inconsistency.

Quality-assessment of the evidence

We assessed the quality of the evidence for each outcome for each comparison, using the GRADE-instrument (Grading of Recommendations Assessment, Development and Evaluation - GRADE) [24]. Through this process, factors like study limitations, inconsistency of results, indirectness of evidence, imprecision and reporting bias are assessed. The quality of the evidence was rated as high, moderate, low or very low quality, reflecting the confidence we have in the estimated effect size (see Table 1).

Table 1 Grades of quality of evidence in GRADE [24]
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In line with recommendations from the GRADE Working Group by default, we graded the included evidence as "high quality", as all studies were randomized controlled trials. We then downgraded when deemed appropriate. For the comparisons where we had no direct evidence (that is, the effect-estimates were only based on indirect comparisons) we rated the quality as "low" unless we found reasons to upgrade or to downgrade further. When the findings were based on a combination of direct and indirect evidence we elected to grade as "high quality" unless there were reasons to downgrade. The inconsistency of results-dimension in GRADE was only assessed for direct comparisons (using the I2-statistic). The grading process was done by one reviewer (AF) and validated by a second person.

Results

Study selection

Our search yielded 12,499 references, of which 758 were deemed as potentially meeting our inclusion criteria, and the complete articles studied. Among these, 25 trials of antihypertensive medications met the inclusion criteria and were of sufficient quality to be included in our systematic review (Figure 1). A list of excluded studies is found in Additional file 2.

Figure 1
figure 1

Review flowchart.

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Study characteristics

Key characteristics of included studies are presented in Table 2[10, 25–49]. Atenolol was used in all the trials with beta-blockers.

Table 2 Overview of included trials
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Eleven of the identified studies only partially addressed our research question [30, 32, 34, 38, 41, 50–55]. Four of these trials were not direct comparisons between individual drug-classes, but rather comparisons of one drug against a diuretic or a beta-blocker, selected at the physician's discretion [30, 32, 34, 38]. We decided to include these studies by defining "diuretics or beta-blockers" as a separate drug-class in our analyses. Similarly, one trial compared ARB and "conventional treatment" [41], which we also included as a separate drug-class. Three of the trials were comparisons between different drug combinations or add-on drugs, and we decided to exclude these [51–53]. Finally, we excluded three placebo-controlled trials where the investigators aimed at achieving similar blood pressure levels in both groups since in these trials a large proportion in the placebo-group also received active treatment, making it difficult to interpret the findings for our purpose [50, 54, 55].

For three of the included studies [10, 33, 49, 51], we were in doubt whether to include or exclude, due to the high proportion of participants with pre-existing cardiovascular disease. In these trials, this proportion was probably slightly above our pragmatically selected cut-off point of 50%. However, as we had not clearly defined "cardiovascular event" and since the exact proportion of participants with established cardiovascular disease was difficult to discern from the study reports, we decided to include these studies.

Synthesis of results

Relative risk estimates and quality of evidence

The various drug-classes and number of studies per direct comparison included in our network-analysis are shown in Figure 2.

Figure 2
figure 2

Direct comparisons in network model.

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Tables 3 and 4 display effect estimates for our primary and secondary outcomes, respectively. The tables also include the results of the quality assessment of the evidence underlying each effect estimate. We have limited the tables to include only the most clinically relevant comparisons, that is, we have excluded "diuretics and/or beta-blockers", "conventional drugs" or "placebo/control". The complete presentation is found in Additional files 3 and 4. A detailed presentation of the quality of evidence assessments is found in Additional file 5.

Table 3 Main findings (primary outcomes).
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Table 4 Main findings (secondary outcomes).
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As expected, the results were favoring active drug treatment over placebo or no treatment.

For most drug-drug comparisons, we found few significant differences, and for most comparisons the quality of the evidence was rated as low (or very low). Overall, the results were ambiguous, with no drug-class standing out as superior across different outcomes.

There was high quality evidence that beta-blockers are inferior to ARB in terms of total mortality (RR 1.14; 95% CrI 1.02 to 1.28). Other significant mortality differences represented only low or very low quality evidence.

The inferiority of ACE-inhibitors to CCB regarding stroke-risk was significant and based on moderate quality evidence (RR 1.19; 95% CrI 1.03 to 1.38). Similarly, the superiority of ACE-inhibitors over CCB with regards to risk of developing heart failure was also significant and based on moderate quality evidence (RR 0.82; 95% CrI 0.69 to 0.94).

We found moderate quality evidence that diuretics reduce the risk of myocardial infarction, compared to beta-blockers (RR 0.82; 95% CrI 0.68 to 0.98). Diuretics were also, based on moderate quality evidence, significantly better at reducing the risk of heart failure than CCB (RR 0.73; 95% CrI 0.62 to 0.84), beta-blockers (RR 0.73; 95% CrI 0.54 to 0.96) and alpha-blockers (RR 0.51; 95% CrI 0.40 to 0.64). Diuretics, however, significantly increased the risk of diabetes relative to ACE-inhibitors (RR 1.43; 95% CrI 1.12 to 1.83) and CCB (RR 1.27; 95% CrI 1.05 to 1.57), based on moderate and high quality evidence, respectively.

Ranking of drug-classes

Consistent with our effect estimates per comparison (Tables 3 and 4), the findings from our ranking of drug-classes are ambiguous in the sense that certain drug-classes were superior for some outcomes, while other drugs fared better for other outcomes (Table 5).

Table 5 Proportion of times that a drug-class ended up among the top three (in repeated simulations)
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Consistency of network-model

We did not find any statistically significant inconsistencies in the network when comparing effect estimates based on direct vs. indirect evidence. However, there were some inconsistencies that we should point out (Table 6):

Table 6 Effect estimates from multiple-treatment meta-analysis (MTM) compared to direct and indirect estimates, based on node-splitting [23]
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In three instances the inclusion of indirect evidence shifted the effect estimate from "non-significant" (that is, the CrI included the value 1) to "significant", or vice versa. First, for beta-blockers vs. ARB the direct comparison-analysis yielded a significant increased risk of stroke with beta-blockers (RR 1.34, Crl 1.03 to 1.74), whereas the result from the MTM did not (RR 1.23, Crl 0.96 to 1.49) (Bayesian P-value for inconsistency = 0.17). Second, also for beta-blockers vs. ARB, the results for diabetes incidence based on direct evidence was not significant (RR.32, Crl 0.97 to 1.82), while in the MTM it was (RR 1.46, Crl 1.15 to 1.98) (Bayesian P-value for inconsistency = 0.13). Third, for the comparison of ACE-inhibitors vs. placebo the direct evidence-analysis yielded an insignificant difference for all-cause mortality (RR 1.30, Crl 0.82 to 2.14), which became significant in favor of ACE-inhibitors in the MTM (RR posterior median 0.87, Crl 0.79 to 0.96) (Bayesian P-value for inconsistency = 0.08).

The lowest P-value (0.06) for inconsistency was seen for all-cause mortality in the diuretics and/or beta-blockers vs. placebo-comparison. In this case, both estimates favored diuretics and/or beta-blockers significantly, but the effect size estimates differed (direct evidence: RR 0.57, Crl 0.34 to 0.84; MTM: RR 0.82, Crl 0.73 to 0.93).

The absence of clear inconsistencies in the network suggests that our model is trustworthy, but some caution is warranted when interpreting the findings that changed substantially after the inclusion of indirect evidence. The full table of comparisons between results from MTM and results based on direct and indirect evidence are shown in Additional file 6.

Discussion

Summary of evidence

Our analysis is, to date, the most comprehensive analysis of the existing data on the comparative effectiveness of different antihypertensive drug-classes used in primary prevention of cardiovascular diseases.

As for most other systematic reviews in this field we find limited evidence of important differences between the various drug-classes. The differences we do find are not easy to put into practice as the ranking of a drug-class depends on which outcome one chooses to emphasize, and no drugs are consistently among the best across all important outcomes.

Our ranking of drug-classes, as presented in Table 5 may be useful to decision makers, or it may add to the confusion. By presenting the chance that a drug is among the top three for an outcome, we had hoped that one or two drugs would emerge as first choice candidates by being among the three best drugs across several important outcomes. However, no such pattern appeared. We should also point out that the quality of the underlying evidence is not taken into consideration in the ranking, thus the results should be interpreted cautiously, and in conjunction with the drug-comparison findings (Tables 3 and 4).

Beta-blockers (atenolol) were inferior to all drug-classes for all primary outcomes, and although the difference in many cases was non-significant and the quality of the evidence was mixed, this may be seen as evidence against opting for these drugs as the first choice. Beta-blockers and alpha-blockers were the only drug-classes that were not significantly superior to any drug, for any outcome, which could suggest not recommending these as first line medication.

Clinical inferences

Successful management of hypertension is dependent on many factors, and choice of drug class is one that seems to be of limited importance. Thus, clinicians should probably focus more on issues such as limiting adverse events, improving adherence and better follow up of patients rather than on which drug to select. However, there is considerable variation in costs across different antihypertensive agents, thus cost-effectiveness assessments may be important for decisions about choice of medications.

Our findings in relation to other systematic reviews

Other research groups have conducted network meta-analyses in this field before us, but our contribution adds important dimensions. First, some reviewers have only included one clinical outcome, while we included six clinically important ones. Second, others have reported only on selected drug-drug comparisons [8, 56], rather than the full range of competing options. Third, a weakness across earlier reviews of the comparative effectiveness of different antihypertensive drugs is that they have not included an explicit assessment of the quality of the evidence backing the reported effect estimates. An important exception is the systematic review that informed the recently updated guidance from the National Institute of Health and Clinical Excellence (NICE), but their effect-estimates were based on the traditional, not the network meta-analytical approach [9, 57].

Although disagreements between our findings and those of other systematic reviews are few and relatively minor, the conclusions drawn by authors vary somewhat [5, 6, 8, 9, 12–14, 56, 58, 59].

In two recent network analyses on the effectiveness of antihypertensive drugs, the authors limited their analysis to one outcome: heart failure [14] and diabetes incidence [13]. Despite slightly different study inclusion criteria, their effect estimates are very similar to ours. The systematic review and network meta-analysis by Psaty and colleagues only included comparisons against diuretics, not between other types of antihypertensive drugs [8]. A network analysis by Aursnes and colleagues, also from 2003, focussed on comparing ACE-inhibitors and CCB, and was limited to three outcomes [56]. Our findings are not in full agreement with these two earlier reports, presumably due to our more strict inclusion criteria and perhaps also to the inclusion of results from more recent studies.

Law and colleagues authored a recent comprehensive review and meta-analysis on antihypertensive drug treatment [6]. They conducted traditional meta-analyses, without the network approach. Their conclusion was that "all the classes of blood pressure lowering drugs have a similar effect in reducing CHD (coronary heart disease) effects and stroke". This is close to, but not entirely in agreement with our findings, which may be due to some of the following issues. First, they elected to compare each drug class with the pooled results from all other drug classes, for example, beta-blockers versus all non-beta-blockers. This analytical approach can be misleading because favorable effects from one non-beta-blocker may be off-set by unfavorable effects from another non-beta-blocker drug-class. Second, they included trials where high dose diuretics were used. This may be misleading as there are good reasons to believe that high dose diuretics lead to less favorable outcomes than low dose diuretics [7]. Consequently, as high dose diuretics were used in many of the trials comparing beta-blockers and diuretics, beta-blockers came out more favorably in their analyses than they probably should. Third, in two studies included in their analysis the participants were randomised to either active drug or placebo [54, 55], and these should, therefore, not be classified as drug comparison studies, in our view. Fourth, they did not explicitly assess the quality of the evidence underlying their effect-estimates, which is essential for judgements about how confident we can be about the validity of the findings. Last, they included two studies we classified as non-randomised trials [60, 61].

Limitations

Systematic reviews, as other types of research, are inevitably based on subjective judgements. The assessments were, however, done by at least two reviewers, making misjudgements less likely, but still possible.

Although the process of grading the quality of the evidence was done using a structured approach (GRADE), the assessments are strongly influenced by our judgements. The merit of the GRADE-system is that these judgements are made explicit and accounted for.

As with other research activities, systematic reviews do not provide answers to questions not asked by the authors. We have selected the interventions and outcomes we considered most important, but there are undoubtedly other aspects that are important for decision-making in this field. We have, for example, not reviewed the side-effect profiles of the different drug-classes (except for incidence of diabetes). Our selection of outcomes is also debatable. We chose to emphasize what we considered the most important clinical outcomes and disregarded others that may be of key interest, such as intermittent claudication, vascular dementia, renal disease and retinal disease.

A fundamental challenge with the use of meta-analysis is to judge whether two or more studies are sufficiently similar to have their results pooled in one analysis. Our judgements regarding this could be criticized. It is, for instance, not obvious that drugs from the same drug-class are equivalent, as we have implicitly assumed [11, 62]. We had specifically planned to conduct a separate analysis where we excluded trials of beta-blockers that had used the agent atenolol, since the appropriateness of using atenolol as a comparator-drug has been questioned [11]. However, atenolol was used in all the beta-blocker trials we included in our review, so an analysis of non-atenolol beta-blockers could not be done. Similarly, our handling of calcium channel blockers as an entity can be questioned. The pharmacological properties vary across these drugs, and it could be argued that they should be grouped according to property and not as an entity [63].

In a network analysis like ours, it is assumed that all the included trials are sufficiently homogeneous to allow for the combining of all the study findings into one analysis. This assumption is difficult to validate. Differences in study populations can, in particular, distort estimates for the effects on total mortality, since these are related to the proportion of deaths that are due to cardiovascular diseases, for each study. We did not formally assess how comparable the various populations were. However, our use of relatively strict inclusion criteria, for example, including only studies where the majority of participants had no prior cardiovascular event and excluding studies of specific high-risk groups, substantiates that the populations were somewhat similar. Also, the finding that the effect-estimates from the network analysis were similar to the estimates from the direct comparisons provides some evidence that the trials were reasonably homogeneous.

The definitions of outcomes vary from study to study, for instance, regarding heart failure. Study reports are not always clear with respect to whether the number of patients with events or the total number of events were counted. We believe such differences across studies has had limited influence on our overall findings.

Our objective was to estimate the relative risk reduction for different antihypertensive drugs in individuals without cardiovascular disease (primary prevention). However, we chose to include studies where up to half the participants had experienced a cardiovascular event (secondary prevention). Our reasoning was that such studies contain information of relevance to our research question. This is in accordance with the approach used by the World Health Organization when they prepared their most recent guidelines on primary prevention of cardiovascular diseases [64]. In several earlier reviews on antihypertensive treatment the authors have included studies where all participants were patients with cardiovascular disease. This is clearly valid if the relative effect of using antihypertensive medication is the same for healthy and for sick people, and Law and colleagues do provide some data to support such a view [6]. Our choice to exclude such trials may thus be criticized. On the other hand, it is not firmly established that the relative treatment effect of antihypertensive medication is constant across different patient groups. And even if this proves to be the case it is still conceivable that different types of medication may work differently for people with and without cardiovascular disease, something for which Law and colleagues also found evidence [6].

Our meta-analyses are based on a count of events at one moment in time, that is, at the end of each trial. This analytic approach is not entirely valid unless the relative effect size is constant over time. A more complex analysis, including time to events, would require access to more data from each study than what was available to us.

The majority of the included trials in this review were sponsored by companies with a vested interest in the study results. Such sponsorship has been associated with bias in favour of the product made by the funding company [65]. Possible explanations include publication bias and use of inappropriate comparators. Limiting our review to large-scale studies should reduce risk of publication bias or other forms of selective reporting [20]. Whether the most appropriate comparator drug has been selected is more difficult to assess. Biased analyses were minimized in our review because we based our effect-estimates on actual figures presented in the various articles, rather than relying on the analyses conducted by the study-authors and/or sponsors.

Future research agenda

Despite the fact that many methodologically sound large-scale trials of anti-hypertensive drugs have been conducted, our confidence in the overall findings ranged from very low to high after assessing the quality of the evidence using the GRADE-instrument. This means that the results from future trials may alter our conclusions. Future research to improve the quality of hypertension management should also focus on other issues, such as interventions to improve treatment adherence and on how to organise follow-up of patients more effectively.

Conclusions

Based on the available evidence, there seems to be little or no difference between commonly used blood pressure lowering medications with regards cardiovascular risk reduction. Beta-blockers (atenolol) and alpha-blockers are the only drug-classes that were not significantly superior to any other drugs, for any outcome, and may thus not be prime candidates for first-line antihypertensive treatment.

Abbreviations

ACE:

angiotensin convering enzyme

ARB:

angiotensin receptor blockers

CCB:

calcium-channel blockers

CrI:

credibility interval

GRADE:

Grading of Recommendations Assessment: Development and Evaluation

MTM:

Multiple Treatments Meta-analysis

RR:

relative risk.

References

  1. World Health Organization: The Global Burden Of Disease: 2004 Update. 2008, Geneva: WHO

    Google Scholar 

  2. The World Health Organization: World Health Statistics 2008. 2008, Geneva: The World Health Organization

    Google Scholar 

  3. The World Health Organization: The World Health Report 2002 Reducing Risks, Promoting Healthy Lives. 2002, Geneva: The World Health Organization

    Google Scholar 

  4. Collins R, Peto R, MacMahon S, Hebert P, Fiebach NH, Eberlein KA, Godwin J, Qizilbash N, Taylor JO, Hennekens CH: Blood pressure, stroke, and coronary heart disease. Part 2, Short-term reductions in blood pressure: overview of randomised drug trials in their epidemiological context. Lancet. 1990, 335: 827-838. 10.1016/0140-6736(90)90944-Z.

    Article  CAS  PubMed  Google Scholar 

  5. Turnbull F: Effects of different blood-pressure-lowering regimens on major cardiovascular events: results of prospectively-designed overviews of randomised trials. Lancet. 2003, 362: 1527-1535.

    Article  CAS  PubMed  Google Scholar 

  6. Law MR, Morris JK, Wald NJ: Use of blood pressure lowering drugs in the prevention of cardiovascular disease: meta-analysis of 147 randomised trials in the context of expectations from prospective epidemiological studies. BMJ. 2009, 338: b1665-10.1136/bmj.b1665.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Wright JM, Lee CH, Chambers GK: Systematic review of antihypertensive therapies: does the evidence assist in choosing a first-line drug?. CMAJ. 1999, 161: 25-32.

    CAS  PubMed  PubMed Central  Google Scholar 

  8. Psaty BM, Lumley T, Furberg CD, Schellenbaum G, Pahor M, Alderman MH, Weiss NS: Health outcomes associated with various antihypertensive therapies used as first-line agents: a network meta-analysis. JAMA. 2003, 289: 2534-2544. 10.1001/jama.289.19.2534.

    Article  CAS  PubMed  Google Scholar 

  9. Hypertension: The clinical management of primary hypertension in adults (update). 2011, London: National Clinical Guidelines Centre at the The Royal College of Physicians

  10. ALLHAT Collaborative Research Group: Major cardiovascular events in hypertensive patients randomized to doxazosin vs chlorthalidone: the antihypertensive and lipid-lowering treatment to prevent heart attack trial (ALLHAT). ALLHAT Collaborative Research Group. JAMA. 2000, 283: 1967-1975. 10.1001/jama.283.15.1967. see comment Erratum: JAMA 2002, 288:2976

    Article  Google Scholar 

  11. Carlberg B, Samuelsson O, Lindholm LH: Atenolol in hypertension: is it a wise choice?. Lancet. 2004, 364: 1684-1689. 10.1016/S0140-6736(04)17355-8.

    Article  CAS  PubMed  Google Scholar 

  12. Wiysonge CS, Bradley H, Mayosi BM, Maroney R, Mbewu A, Opie LH, Volmink J: Beta-blockers for hypertension. Cochrane Database Syst Rev. 2007, CD002003.

    Google Scholar 

  13. Elliott WJ, Meyer PM: Incident diabetes in clinical trials of antihypertensive drugs: a network meta-analysis. Lancet. 2007, 369: 201-207. 10.1016/S0140-6736(07)60108-1.

    Article  CAS  PubMed  Google Scholar 

  14. Sciarretta S, Palano F, Tocci G, Baldini R, Volpe M: Antihypertensive treatment and development of heart failure in hypertension: a Bayesian network meta-analysis of studies in patients with hypertension and high cardiovascular risk. Arch Intern Med. 2011, 171: 384-394. 10.1001/archinternmed.2010.427.

    PubMed  Google Scholar 

  15. Håheim L, Fretheim A, Brørs O, Kjeldsen SE, Kristiansen IS, Madsen S, Njølstad I, Norheim OF, Ose L, Svilaas A, Flottorp S, Thürmer H: Primærforebygging av hjerte- og karsykdom, med særlig vekt på medikamentelle tiltak. 2008, Oslo, Norway: Norwegian Knowledge Centre for the Health Services

    Google Scholar 

  16. Norheim OF, Gjelsvik B, Klemsdal TO, Madsen S, Meland E, Narvesen S, Negard A, Njølstad I, Tonstad S, Ulvin F, Wisløff T: Norway's new principles for primary prevention of cardiovascular disease: age differentiated risk thresholds. BMJ. 2011, 343: d3626-10.1136/bmj.d3626.

    Article  Google Scholar 

  17. Fretheim A, Odgaard-Jensen J, Brørs O, Flottorp S, Kristiansen IS, Njølstad I, Norheim OF, Svilaas A, Thürmer H: Systematic Review and Multiple Treatment Meta-Analysis of Drug-Trials for Hypertension (protocol). PROSPERO 2011:CRD42011001066 Available from [http://www.crd.york.ac.uk/PROSPERO/display_record.asp?ID=CRD42011001066]

  18. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. 2004, NIH Publication No. 04-5230

  19. Wright JM, Musini VM: First-line drugs for hypertension. Cochrane Database Syst Rev. 2009, CD001841.

    Google Scholar 

  20. Egger M, Davey SG, Schneider M, Minder C: Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997, 315: 629-634. 10.1136/bmj.315.7109.629.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Harbour R, Miller J: A new system for grading recommendations in evidence based guidelines. BMJ. 2001, 323: 334-336.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Salanti G, Higgins JP, Ades AE, Ioannidis JP: Evaluation of networks of randomized trials. Stat Methods Med Res. 2008, 17: 279-301.

    Article  PubMed  Google Scholar 

  23. Dias S, Welton N, Caldwell D, Ades A: Checking consistency in mixed treatment comparison meta-analysis. Stat Med. 2010, 29: 932-944. 10.1002/sim.3767.

    Article  CAS  PubMed  Google Scholar 

  24. Balshem H, Helfand M, Schunemann HJ, Oxman AD, Kunz R, Brozek J, Vist GE, Falck-Ytter Y, Meerpohl J, Norris S, Guyatt GH: GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol. 2011, 64: 401-406. 10.1016/j.jclinepi.2010.07.015.

    Article  PubMed  Google Scholar 

  25. Sun M, Zhou H, Jia Z: Prevention and treatment of stroke after hypertension for ten years in Hunan Province. Chinese. Zhonghua Nei Ke Za Zhi. 1997, 36: 312-314.

    CAS  PubMed  Google Scholar 

  26. SHEP Cooperative Research Group: Prevention of stroke by antihypertensive drug treatment in older persons with isolated systolic hypertension. Final results of the Systolic Hypertension in the Elderly Program (SHEP). JAMA. 1991, 265: 3255-3264.

    Article  Google Scholar 

  27. Helgeland A: Treatment of mild hypertension: a five year controlled drug trial. The Oslo study. Am J Med. 1980, 69: 725-732. 10.1016/0002-9343(80)90438-6.

    Article  CAS  PubMed  Google Scholar 

  28. Wilhelmsen L, Berglund G, Elmfeldt D, Fitzsimons T, Holzgreve H, Hosie J, Hornkvist PE, Pennert K, Tuomilehto J, Wedel H: Beta-blockers versus diuretics in hypertensive men: main results from the HAPPHY trial. J Hypertens. 1987, 5: 561-572. 10.1097/00004872-198710000-00009.

    Article  CAS  PubMed  Google Scholar 

  29. Peart S, Brennan PJ, Broughton P, Dollery C, Hudson MF, Lever AF, Meade TW, Rose GA, Greenberg G, Pocock SJ: Medical Research Council trial of treatment of hypertension in older adults: Principal results. BMJ. 1992, 304: 405-412.

    Article  Google Scholar 

  30. Hansson L, Lindholm LH, Niskanen L, Lanke J, Hedner T, Niklason A, Luomanmäki k, Dahlöf B, de Faire U, Mörlin C, Karlberg BE, Wester PO, Björck J: Effect of angiotensin-converting-enzyme inhibition compared with conventional therapy on cardiovascular morbidity and mortality in hypertension: the Captopril Prevention Project (CAPPP) randomised trial. Lancet. 1999, 353: 611-616. 10.1016/S0140-6736(98)05012-0.

    Article  CAS  PubMed  Google Scholar 

  31. Randomized double-blind comparison of a calcium antagonist and a diuretic in elderly hypertensives. National Intervention Cooperative Study in Elderly Hypertensives Study Group. Hypertension. 1999, 34: 1129-1133.

  32. Hansson L, Lindholm LH, Ekbom T, Dahlof B, Lanke J, Schersten B, Wester PO, Hedner T, de Faire U: Randomised trial of old and new antihypertensive drugs in elderly patients: cardiovascular mortality and morbidity the Swedish Trial in Old Patients with Hypertension-2 study. Lancet. 1999, 354: 1751-1756. 10.1016/S0140-6736(99)10327-1.

    Article  CAS  PubMed  Google Scholar 

  33. ALLHAT Officers and Coordinators for the ALLHAT Collaborative Research Group: Major outcomes in high-risk hypertensive patients randomized to angiotensin-converting enzyme inhibitor or calcium channel blocker vs diuretic: The Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT). JAMA. 2002, 288: 2981-2997. 10.1001/jama.288.23.2981. Erratum: JAMA 2003, 289:178

    Article  Google Scholar 

  34. Hansson L, Hedner T, Lund-Johansen P, Kjeldsen SE, Lindholm LH, Syvertsen JO, Lanke J, de Faire U, Dahlöf B, Karlberg BE: Randomised trial of effects of calcium antagonists compared with diuretics and beta-blockers on cardiovascular morbidity and mortality in hypertension: the Nordic Diltiazem (NORDIL) study. Lancet. 2000, 356: 359-365. 10.1016/S0140-6736(00)02526-5.

    Article  CAS  PubMed  Google Scholar 

  35. Mancia G, Brown M, Castaigne A, de Leeuw P, Palmer CR, Rosenthal T, Wagener G, Ruilope LM: Outcomes with nifedipine GITS or Co-amilozide in hypertensive diabetics and nondiabetics in Intervention as a Goal in Hypertension (INSIGHT). Hypertension. 2003, 41: 431-436. 10.1161/01.HYP.0000057420.27692.AD.

    Article  CAS  PubMed  Google Scholar 

  36. LIFE Study Group: Cardiovascular morbidity and mortality in patients with diabetes in the Losartan Intervention For Endpoint reduction in hypertension study (LIFE): a randomised trial against atenolol. Lancet. 2002, 359: 1004-1010. 10.1016/S0140-6736(02)08090-X.

    Article  Google Scholar 

  37. Wing LM, Reid CM, Ryan P, Beilin LJ, Brown MA, Jennings GL, Johnston CI, Mcneil JJ, Macdonal GJ, Marley JE, Morga TO, West MJ, Second Australian National Blood Pressure Study Group: A comparison of outcomes with angiotensin-converting--enzyme inhibi-tors and diuretics for hypertension in the elderly. N Engl J Med. 2003, 348: 583-592. 10.1056/NEJMoa021716.

    Article  CAS  PubMed  Google Scholar 

  38. CONVINCE Research Group: Principal results of the Controlled Onset Verapamil Investigation of Cardiovascular End Points (CONVINCE) trial. JAMA. 2003, 289: 2073-2082. 10.1001/jama.289.16.2073.

    Article  Google Scholar 

  39. Bulpitt CJ, Beckett NS, Cooke J, Dumitrascu DL, Gil-Extremera B, Nachev C, Nunes M, Peters R, Staessen JA, Thijs L, Hypertension in the Very Elderly Trial Working Group: Results of the pilot study for the Hypertension in the Very Elderly Trial. J Hypertens. 2003, 21: 2409-2417. 10.1097/00004872-200312000-00030.

    Article  CAS  PubMed  Google Scholar 

  40. Malacco E, Mancia G, Rappelli A, Menotti A, Zuccaro MS, Coppini A: Treatment of isolated systolic hypertension: the SHELL study results. Blood Press. 2003, 12: 160-167. 10.1080/08037050310009545.

    Article  CAS  PubMed  Google Scholar 

  41. Suzuki H, Kanno Y: Effects of candesartan on cardiovascular outcomes in Japanese hypertensive patients. Hypertens Res. 2005, 28: 307-314. 10.1291/hypres.28.307.

    Article  CAS  PubMed  Google Scholar 

  42. Ogihara T, Nakao K, Fukui T, Fukiyama K, Ueshima K, Oba K, Sato T, Saruta T: Effects of candesartan compared with amlodipine in hypertensive patients with high cardiovascular risks: candesartan antihypertensive survival evaluation in Japan trial. Hypertension. 2008, 51: 393-398. 10.1161/HYPERTENSIONAHA.107.098475.

    Article  CAS  PubMed  Google Scholar 

  43. Veterans Administration Cooperative Study Group on Antihypertensive Agents: Effects of treatment on morbidity in hypertension. II. Results in patients with diastolic blood pressure averaging 90 through 114 mm Hg. JAMA. 1970, 213: 1143-1152.

    Article  Google Scholar 

  44. Amery A, Birkenhager W, Brixko P, Bulpitt C, Clement D, Deruyttere M, de Schaepdryver A, Dollery C, Fagard R, Forette F: Mortality and morbidity results from the European Working Party on High Blood Pressure in the Elderly trial. Lancet. 1985, 1: 1349-1354.

    Article  CAS  PubMed  Google Scholar 

  45. Coope J, Warrender TS: Randomised trial of treatment of hypertension in elderly patients in primary care. Br Med J (Clin Res Ed). 1986, 293: 1145-1151. 10.1136/bmj.293.6555.1145.

    Article  CAS  Google Scholar 

  46. Dahlof B, Lindholm LH, Hansson L, Schersten B, Ekbom T, Wester PO: Morbidity and mortality in the Swedish Trial in Old Patients with Hypertension (STOP-Hypertension). Lancet. 1991, 338: 1281-1285. 10.1016/0140-6736(91)92589-T.

    Article  CAS  PubMed  Google Scholar 

  47. Staessen JA, Fagard R, Thijs L, Celis H, Arabidze GG, Birkenhager WH, Bulpitt CJ, de Leeuw PW, Dollery CT, Fletcher AE, Forette F, Leonetti G, Nachev C, O'Brien ET, Rosenfeld J, Rodicio JL, Tuomilehto J, Zanchetti A: Randomised double-blind comparison of placebo and active treatment for older patients with isolated systolic hypertension. The Systolic Hypertension in Europe (Syst-Eur) Trial Investigators. Lancet. 1997, 350: 757-764. 10.1016/S0140-6736(97)05381-6.

    Article  CAS  PubMed  Google Scholar 

  48. Beckett NS, Peters R, Fletcher AE, Staessen JA, Liu L, Dumitrascu D, Stoyanovsky V, Antikainen RL, Nikitin Y, Anderson C, Belhani A. Forette F, Rajkumar C, Thijs L, Banya W, Bulpitt CJ: Treatment of hypertension in patients 80 years of age or older. N Engl J Med. 2008, 358: 1887-1898. 10.1056/NEJMoa0801369.

    Article  CAS  PubMed  Google Scholar 

  49. Julius S, Kjeldsen SE, Weber M, Brunner HR, Ekman S, Hansson L, Jua T, Laragh J, McInnes GT, Mitchell L, Plat F, Schork A, Smith B, Zanchetti A: Outcomes in hypertensive patients at high cardiovascular risk treated with regimens based on valsartan or amlodipine: the VALUE randomised trial. Lancet. 2004, 363: 2022-2031. 10.1016/S0140-6736(04)16451-9.

    Article  CAS  PubMed  Google Scholar 

  50. Mochizuki S, Dahlof B, Shimizu M, Ikewaki K, Yoshikawa M, Taniguchi I, Ohta M, Yamada T, Ogawa K, Kanae K, Kawai M, Seki S, Okazaki F, Taniguchi M, Yoshida S, Tajima N: Valsartan in a Japanese population with hypertension and other cardiovascular disease (Jikei Heart Study): a randomised, open-label, blinded endpoint morbidity-mortality study. Lancet. 2007, 369: 1431-1439. 10.1016/S0140-6736(07)60669-2.

    Article  CAS  PubMed  Google Scholar 

  51. Jamerson K, Weber MA, Bakris GL, Dahlof B, Pitt B, Shi V, Hester A, Gupte J, Gatlin M, Velazquez EJ: Benazepril plus amlodipine or hydrochlorothiazide for hypertension in high-risk patients. N Engl J Med. 2008, 359: 2417-2428. 10.1056/NEJMoa0806182.

    Article  CAS  PubMed  Google Scholar 

  52. Dahlof B, Sever PS, Poulter NR, Wedel H, Beevers DG, Caulfield M, Collins R, Kjeldsen SE, Kristinsson A, McInnes GT, Mehlson J, Nieminen M, O'Brien E, Otergren J: Prevention of cardiovascular events with an antihypertensive regimen of amlodipine adding perindopril as required versus atenolol adding bendroflumethiazide as required, in the Anglo-Scandinavian Cardiac Outcomes Trial-Blood Pressure Lowering Arm (ASCOT-BPLA): a multicentre randomised controlled trial. Lancet. 2005, 366: 895-906. 10.1016/S0140-6736(05)67185-1.

    Article  PubMed  Google Scholar 

  53. Sawada T, Yamada H, Dahlof B, Matsubara H: Effects of valsartan on morbidity and mortality in uncontrolled hypertensive patients with high cardiovascular risks: KYOTO HEART Study. Eur Heart J. 2009, 30: 2461-2469. 10.1093/eurheartj/ehp363.

    Article  CAS  PubMed  Google Scholar 

  54. The IPPPSH Collaborative Group: Cardiovascular risk and risk factors in a randomized trial of treatment based on the beta-blocker oxprenolol: the International Prospective Primary Prevention Study in Hypertension (IPPPSH). The IPPPSH Collaborative Group. J Hypertens. 1985, 3: 379-392.

    Article  Google Scholar 

  55. Lithell H, Hansson L, Skoog I, Elmfeldt D, Hofman A, Olofsson B, Trenkwalder P, Zanchetti A: The Study on Cognition and Prognosis in the Elderly (SCOPE): principal results of a randomized double-blind intervention trial. J Hypertens. 2003, 21: 875-886. 10.1097/00004872-200305000-00011.

    Article  CAS  PubMed  Google Scholar 

  56. Aursnes I, Tvete IF, Gasemyr J, Natvig B: Clinical efficacies of antihypertensive drugs. Scand Cardiovasc J. 2003, 37: 72-79. 10.1080/14017430310001186.

    Article  CAS  PubMed  Google Scholar 

  57. Krause T, Lovibond K, Caulfield M, McCormack T, Williams B, the Guideline Development Group: Guidelines: management of hypertension: summary of NICE guidance. BMJ. 2011, 343: d4891-10.1136/bmj.d4891.

    Article  PubMed  Google Scholar 

  58. National Collaborating Centre for Chronic Conditions. Hypertension: Management of Hypertension in Adults in Primary Care: Partial Update. 2006, London: Royal College of Physicians

  59. Statens Beredning för Medicinsk Utvärdering. Måttligt Förhöjt Blodtryck Uppdatering 2007. 2007, Stockholm: Statens beredning för medicinsk utvärdering (SBU)

  60. Ogihara T: Practitioner's Trial on the Efficacy of Antihypertensive Treatment in the Elderly Hypertension (The PATE-Hypertension Study) in Japan. Am J Hypertens. 2000, 13: 461-467. 10.1016/S0895-7061(99)00215-0.

    Article  CAS  PubMed  Google Scholar 

  61. A 12-month comparison of ACE inhibitor and CA antagonist therapy in mild to moderate essential hypertension--The GLANT Study. Study Group on Long-term Antihypertensive Therapy. Hypertens Res. 1995, 18: 235-244. 10.1291/hypres.18.235.

  62. Furberg CD, Psaty BM: Should evidence-based proof of drug efficacy be extrapolated to a "class of agents"?. Circulation. 2003, 108: 2608-2610. 10.1161/01.CIR.0000090572.51900.92.

    Article  PubMed  Google Scholar 

  63. Sica DA: Calcium channel blocker class heterogeneity: select aspects of pharmacokinetics and pharmacodynamics. J Clin Hypertens (Greenwich). 2005, 7: 21-26.

    Article  CAS  Google Scholar 

  64. World Health Organization: Prevention of Cardiovascular Disease: Guidelines for Assessment and Management of Total Cardiovascular risk. 2007, Geneva: World Health Organization

    Google Scholar 

  65. Lexchin J, Bero LA, Djulbegovic B, Clark O: Pharmaceutical industry sponsorship and research outcome and quality: systematic review. BMJ. 2003, 326: 1167-1170. 10.1136/bmj.326.7400.1167.

    Article  PubMed  PubMed Central  Google Scholar 

Pre-publication history

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Acknowledgements

We thank Elizabeth Buntz and Marit Johansen for conducting the electronic literature searches. Kurt Myhre contributed to the screening of articles at the early stages of the project, and Magnus Hakan Iseri assisted in double checking that the data extraction from included articles and data entry to the statistical software we utilized was correct. Gunn E. Vist contributed substantially in the grading of the quality of the evidence (GRADE). Torbjørn Wisløff provided statistical support. Finally, we thank Tor-Erik Widerøe and Steinar Hunskår for helpful feed- back on an earlier version of this review.

This review was commissioned by the Norwegian Directorate for Health, which had no role in the study design, data collection, data analysis, data interpretation or writing of the report. The corresponding author had full access to all data in the study and had final responsibility for the decision to submit for publication.

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Authors and Affiliations

  1. Global Health Unit, Norwegian Knowledge Centre for the Health Services, Oslo, Norway

    Atle Fretheim & Jan Odgaard-Jensen

  2. Institute of Health and Society, University of Oslo, Oslo, Norway

    Atle Fretheim & Ivar S Kristiansen

  3. Department of Clinical Pharmacology, Oslo University Hospital, Oslo, Norway

    Odd Brørs

  4. Department of Medical Information, Norwegian Medicines Agency, Oslo, Norway

    Steinar Madsen

  5. Department of Community Medicine, University of Tromsø, Tromsø, Norway

    Inger Njølstad

  6. Department of Medicine, Haukeland University Hospital, Bergen, Norway

    Ole F Norheim

  7. Department of Public Health and Primary Health Care, University of Bergen, Bergen, Norway

    Ole F Norheim & Signe Flottorp

  8. Lipid Clinic, Oslo University Hospital, Oslo, Norway

    Arne Svilaas

  9. Medical Department Notodden, Telemark Hospital, Notodden, Norway

    Hanne Thürmer

  10. Prevention, Health Promotion and Organisation Unit, Norwegian Knowledge Centre for the Health Services, Oslo, Norway

    Signe Flottorp

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  1. Atle Fretheim
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Correspondence to Atle Fretheim.

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Competing interests

AF, JOJ, OB, IN, OFN, AS, HT and SF declare they have no competing interests. SM is an employee of the Norwegian Medicines Agency that has a strong interest in the cost-effective use of medication. ISK has received salary, consultancy honoraria, gifts and travel funding from a wide range of public institutions, private companies and patient organizations that may have an interest in antihypertensive treatment.

Authors' contributions

All authors contributed to the planning of this review, and all, except JOJ, participated in the trial-selection process. JOJ and AF conducted the analyses, and AF wrote the first draft of the article. All authors read and provided feed-back on the draft-versions of the article, and approved the final version. AF is the guarantor.

Electronic supplementary material

12916_2011_524_MOESM1_ESM.DOC

Additional file 1: Strategies for electronic searches in databases. This file contains detailed descriptions of the search-strategies used in the various electronic databases that were searched to identify relevant randomized controlled trials. (DOC 78 KB)

12916_2011_524_MOESM2_ESM.DOC

Additional file 2: Table of excluded studies. Contains a list of studies that were excluded from the review, mostly after reading the full text reports (articles excluded after reading title/abstract are generally not included). The causes for exclusion are also listed. (DOC 62 KB)

12916_2011_524_MOESM3_ESM.DOC

Additional file 3: Main findings (primary outcomes). Full, comprehensive version of Table 3. (DOC 104 KB)

12916_2011_524_MOESM4_ESM.DOC

Additional file 4: Main findings (secondary outcomes). Full, comprehensive version of Table 4. (DOC 102 KB)

12916_2011_524_MOESM5_ESM.DOC

Additional file 5: GRADE-profiles. In this file, the reasoning for our grading of the evidence is presented, for all outcomes across all comparisons. (DOC 984 KB)

12916_2011_524_MOESM6_ESM.XLSX

Additional file 6: Estimates of effect from multiple-treatment meta-analysis (MTM) compared to the direct and indirect estimates of effect based on node-splitting. Full, comprehensive version of Table 6. (XLSX 30 KB)

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Fretheim, A., Odgaard-Jensen, J., Brørs, O. et al. Comparative effectiveness of antihypertensive medication for primary prevention of cardiovascular disease: systematic review and multiple treatments meta-analysis. BMC Med 10, 33 (2012). https://doi.org/10.1186/1741-7015-10-33

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Keywords

  • Angiotensin Converting Enzyme
  • Atenolol
  • Antihypertensive Drug
  • Antihypertensive Medication
  • Credibility Interval

BMC Medicine

ISSN: 1741-7015

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