- Search for Research Summaries, Reviews, and Reports
- EPC Project
- Research Review Feb. 11, 2014
Related Products for this Topic
- Executive Summary Feb. 11, 2014
Related Links for this Topic
Research Protocol – May 17, 2013
Update of Comparative Effectiveness of Lipid-Modifying Agents
Table of Contents
- I. Background and Objectives for the Systematic Review
- II. The Key Questions
- III. Analytic Framework
- IV. Methods
- V. References
- VI. Definition of Terms
- VII. Summary of Protocol Amendments
- VIII. Review of Key Questions
- IX. Key Informants
- X. Technical Experts
- XI. Peer Reviewers
- XII. EPC Team Disclosures
- XIII. Role of the Funder
- Appendix A. Search Strategy
I. Background and Objectives for the Systematic Review
Epidemiology and Practice Guidelines
Cardiovascular disease (CVD) affects 83.6 million Americans.1 CVD includes a variety of conditions such as myocardial infarction, stroke, heart failure, arrhythmia, heart valve disease, and hypertension. In 2009, CVD contributed to 32.3 percent of U.S. deaths and is a leading cause of disability.1 Atherosclerosis plays a major role in the development of certain cardiovascular diseases—coronary heart disease (CHD) including myocardial infarction, angina, and heart failure and cerebrovascular accident. These atherosclerotic diseases affect 15.4 million Americans.1
Elevated blood lipids are a major risk factor for atherosclerotic CVD. Abnormal lipoprotein metabolism predisposes individuals to atherosclerosis, especially increased concentrations of apolipoprotein B (apo B)-100–containing low-density lipoprotein (LDL-c). Oxidized LDL is atherogenic, causing endothelial damage, alteration of vascular tone, and recruitment of monocytes and macrophages. Many studies have underscored the importance of LDL-c in development of atherosclerotic CVD.2,3 Due to the consistent and robust association of higher LDL-c levels with atherosclerotic CVD across experimental and epidemiologic studies, therapeutic strategies to decrease risk have focused on LDL-c reduction as the primary goal. The trial results are most compelling regarding the reduction of CHD by lowering LDL-c.4,5 Based on this evidence, the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) report established three CHD risk strata together with guidelines regarding the initiation of treatment and therapeutic targets based on LDL-c cutoffs. The NCEP-ATP III defined the highest risk individuals as those with established CHD, other clinical atherosclerotic CVD such as cerebrovascular accident, or multiple risk factors for atherosclerotic CVD. These high-risk individuals have a 10-year CHD risk greater than 20 percent, and their LDL-c target is less than 100 mg/dL. Moderate-risk patients are those with two or more risk factors and a 10-year CHD risk less than 20 percent. The LDL target for moderate-risk patients is less than 130 mg/dL, but the threshold for starting drug therapy in these patients depends on their CHD risk level. For moderate-risk patients with a 10-year CHD risk of 10 to 20 percent, providers should consider drug therapy if the LDL-c is above 130 mg/dL; whereas for moderate-risk patients with a 10-year CHD risk less than 10 percent, drug therapy does not need to be considered until the LDL-c reaches 160 mg/dL.
Following release of the NCEP-ATP III guidelines in 2002, five major trials were published that led to a revision of these guidelines in 2004.6 These revised guidelines expanded the population for whom lipid-lowering therapy was recommended. 7 Diabetes was now considered a CHD risk equivalent, which placed patients with diabetes in the high-risk category. In addition, more aggressive targets were advocated as a therapeutic option for individuals at the highest risk. These “very high-risk patients” were defined as those with acute coronary syndromes, multiple major risk factors (especially diabetes and smoking), severe and poorly controlled risk factors, and multiple risk factors for metabolic syndrome. The previous target of LDL-c below 100 mg/dL was supplemented with an optional goal of LDL-c below 70 mg/dL in these very high-risk patients who already have baseline LDL-c below 100 mg/dL. While this new, lower target of LDL-c was supported by two trials,8,9 additional trials are needed to confirm this finding and make this target a definitive recommendation.
Current Practices and Decisional Uncertainty
The NCEP-ATP III provided guidelines both for when to initiate lipid-lowering therapy and also for LDL-c targets for optimal CHD-risk reduction. Lipid lowering in high-risk populations is likely to require treatment modification (intensifying therapy through dose increases or additional agents) to achieve LDL-c targets and achieve maximal benefit.
Current medication options for lipid-lowering therapy include 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase inhibitors, bile acid sequestrants, a cholesterol-absorption inhibitor, fibrates, nicotinic acid, and omega-3 fatty acids, which all have various mechanisms of action and pharmacokinetic properties. The most widely prescribed lipid-lowering agents are the HMG-CoA reductase inhibitors or “statins.” These agents reduce the production of cholesterol in the liver by binding with the enzyme responsible for its production. In addition to their lipid effects, statins may also have other cardiovascular effects, such as contributing to regression of atherosclerosis10 and plaque stabilization,11 decreasing inflammation,12 and improving endothelial dysfunction.13 Bile acid sequestrants (BAS) bind bile acids in the bowel, thereby preventing reabsorption of bile from the intestine. As a result, there is less intrahepatic cholesterol, causing synthesis of LDL receptors that bind plasma LDL. Bile acids have minimal effect on high-density lipoprotein (HDL). The cholesterol absorption inhibitor, ezetimibe, acts on the sterol transporter NPC1L1. Fibrates do not influence lipid synthesis but rather reduce the levels of fatty acids in the blood. They lower triglycerides, increase HDL, and decrease LDL. Niacin (nicotinic acid) inhibits synthesis of very low-density lipoprotein (VLDL) and LDL. The mechanism of omega-3 fatty acids is not fully understood, but they may inhibit acyl-CoA:1,2 diacylglycerol acyltransferase, increase hepatic beta-oxidation, reduce the hepatic synthesis of triglycerides, or increase plasma lipoprotein lipase activity.
Multiple trials have evaluated the effects of cholesterol reduction on cardiovascular events and mortality. In patients without clinical evidence of CHD, statins have decreased nonfatal myocardial infarctions and CHD mortality,14 the incidence of a first major coronary event,15,16 and all-cause mortality.17 In patients with known CHD or coronary equivalents such as diabetes, statins reduce major coronary events, cardiovascular mortality, and all-cause mortality.18,19 There is ongoing debate about whether multiple agents should be used if LDL-c goals are not achieved with statins alone. There are potential benefits to treating with multiple agents due to the unique mechanisms of action of the other lipid-lowering agents. For example, a fibrate or niacin in combination with a statin may increase HDL and decrease triglycerides above what is achieved with statin treatment alone.20 There may also be fewer statin-related side effects, such as myalgias and liver enzyme elevations, with lower statin doses. Despite these theoretical benefits and generally favorable effects of combination regimens on surrogate markers in clinical trials, combination regimens have not consistently been shown to improve clinical outcomes.20-23 In addition, the use of multiple agents in combination therapy may increase the risk of serious adverse events when compared with statin monotherapy.
To provide additional guidance to clinicians treating patients with moderate or high CHD risk, this comparative effectiveness review (CER) will address long-term benefits and rates of serious adverse events (SAEs) associated with coadministration of different lipid-modifying agents compared with higher dose statin monotherapy. The CER will examine surrogate markers of CHD events including lipid levels and atherosclerosis, as well as side effects/tolerability and adherence to combination therapy versus statin monotherapy. Differences in clinical/surrogate benefits and harms will be evaluated in the following subgroups: patients with diabetes, patients with established vascular disease, females, patients older than 80, participants of African and Asian descent, and Hispanics.
This CER is an update of a 2009 CER produced for the Agency for Health Research and Quality (AHRQ) Effective Healthcare Program. The previous CER initially intended to examine the long-term benefits and rates of serious adverse effects of coadministration of different lipid-lowering agents versus higher dose statin monotherapy for patients at high CHD risk (10-year risk > 20%).24, 25 However, the authors found a paucity of evidence to address this question, so they conducted additional analyses unrestricted by patient risk, statin type, and statin dose. Despite this increase in scope, the authors concluded that there was insufficient evidence to determine whether combination therapy held benefit over monotherapy. Since the initial CER, several large randomized controlled trials20,23 and smaller randomized trials26-31 including efficacy and safety outcomes have been published. The evidence base for all three Key Questions (KQs) has been expanded, necessitating an update of the previous CER. For the current CER, we will cover patients at moderate and high CHD risk, which we define as a 10-year CHD risk greater than 10 percent or an LDL greater than 160 mg/dL. Limiting the scope of this review to only high-risk patients would limit its clinical relevance, as moderate-risk patients may require therapy intensification to reach their LDL goals. However, we will exclude lower risk patients with a 10-year CHD risk less than 10 percent, as they are likely to achieve their LDL goal with typical statin monotherapy.
Potential Impact of a Comparative Effectiveness Review
A large number of Americans fall into populations recommended for lipid-modifying therapy, and many require intense treatment to reach their LDL-c targets. For this CER, populations requiring intensive lipid lowering are considered to be those with a 10-year risk of CHD greater than 20 percent or a baseline LDL-c of at least 190 mg/dL (high-risk patients). We will also examine moderate-risk patients, that is, those with a 10-year risk of CHD of 10 to 20 percent or an LDL-c of at least 160 mg/dL. Lipid lowering in these populations is likely to require treatment modifications in order to achieve LDL-c targets and maximal clinical benefit. This systematic review is intended to help patients and providers understand the evidence supporting the different options for treatment modification.
Expected Use of the Proposed Report
The results of the proposed report will be of use to healthcare providers, healthcare policymakers, and guideline developers seeking to optimize the status of patients to decrease their CHD risk. The results will help provide an evidence base for future practice guidelines to influence patient management.
II. The Key Questions
KQ 1: For patients who require intensive lipid-modifying therapy, what are the comparative long-term benefits and rates of serious adverse events of coadministration of different lipid-modifying agents (i.e., a statin plus another lipid-modifying agent) when compared with higher dose statin monotherapy?
KQ 2: Do these regimens differ in reaching LDL targets (or other surrogate markers), short-term side effects, tolerability, and/or adherence?
KQ 3: When compared with higher dose statins and to one another, do combination regimens differ in benefits and harms within subgroups of patients?
The PICOTS (patients, interventions, comparators, outcomes, timing, and setting) for the CER are as follows:
Adults with high CVD risk (10-year CHD risk ≥20% and/or a mean LDL ≥190 mg/dL) and moderate CVD risk (10-year CHD risk 10–20% and/or a mean LDL ≥160 mg/dL)
- Statin in a lower dose + another lipid-lowering medication including:
- Bile acid sequestrants – cholestyramine and colestipol
- Fibric acids – fenofibrate, fenofibric acid, and gemfibrozil
- Nicotinic acid – niacin
- Omega-3-acid ethyl esters
- Prepackaged combinations of lipid-lowering medications – for example, atorvastatin + ezetimibe, lovastatin + niacin, simvastatin + ezetimibe, and simvastatin + niacin
- Higher dose statin monotherapy:
- Fluvastatin and fluvastatin XL
- Clinical outcomes:
- All-cause mortality and vascular death
- Fatal myocardial infarction (MI), nonfatal MI, any or unspecified MI, and acute coronary syndrome (ACS; unstable angina or acute MI)
- Hemorrhagic stroke, ischemic stroke, any or unspecified stroke, and transient ischemic attack (TIA)
- Carotid endarterectomy, percutaneous coronary intervention, coronary artery bypass graft, and any or unspecified revascularization procedure
- Surrogate clinical outcomes:
- Attainment of the NCEP-ATP III LDL-c target, LDL-c, HDL-c, and the total cholesterol (TC):HDL-c ratio
- Non–HDL-c and triglycerides in a subgroup with diabetes mellitus
- Measures of carotid or coronary atherosclerosis: arterial intima-media thickness, plaque area, plaque volume, arterial calcification, and/or measure of stenosis
- Adherence and harms:
- Treatment adherence as defined by the study investigator
- SAEs as defined by the study investigator (e.g., an event that results in death, hospitalization, disability, or a birth defect)
- Participants experiencing at least one adverse event; withdrawal due to an adverse event; cancer; serum aspartate transaminase and/or alanine aminotransferase elevated ≥3 times the upper limit of normal and/or hepatitis; myalgia; creatine phosphokinase elevated ≥10 times the upper limit of normal; rhabdomyolysis (investigator defined); newly diagnosed diabetes mellitus (investigator defined); a hemoglobin A1c ≥6.5 percent; a fasting glucose ≥126 mg/dL; and newly diagnosed acute kidney injury and chronic kidney disease (investigator defined)
Timing and Study Design
- Randomized controlled trial (RCT) of any duration
- Nonrandomized study (NRS) if it is a continuation of an RCT, is over 24 weeks in duration, and investigates clinical outcomes, SAEs, or cancer
- U.S. Food and Drug Administration (FDA) reports for SAEs and harms of any duration
III. Analytic Framework
Figure 1. Analytic Framework for Comparative Effectiveness of Lipid-Modifying Agents
Abbreviations: CVD = cardiovascular disease; DM = diabetes mellitus; HDL = high-density lipoprotein; KQ = key question; LDL = low-density lipoprotein
We will conduct a systematic review of the comparative effectiveness of lipid-modifying agents in adults at moderate or high risk for cardiovascular disease.
Criteria for Inclusion/Exclusion of Studies in the Review
Inclusion and exclusion criteria are provided in Table A.
|Abbreviations: ACS = acute coronary syndrome; AKI = acute kidney injury; ALT = alanine aminotransferase; AST = aspartate transaminase; CABG = coronary artery bypass graft; CEA = carotid endarterectomy; CER = comparative effectiveness review; CHD = coronary heart disease; CKD = chronic kidney disease; CVD = cardiovascular disease; DPP-4 = dipeptidyl peptidase IV; ER = extended release; FDA = U.S. Food and Drug Administration; HDL = high-density lipoprotein; IR = immediate release; LDL = low-density lipoprotein; MI = myocardial infarction; NCEP-ATP III = National Cholesterol Education Program Adult Treatment Panel III; NRS = nonrandomized study; PCI = percutaneous coronary intervention; PCSK9 = proprotein convertase subtilisin/kexin type 9; RCT = randomized controlled trial; SAE = serious adverse event; SR = sustained release; TC = total cholesterol; TIA = transient ischemic attack; TZD = thiazolidinedione; ULN = upper limit of normal|
|Population||Adults with moderate (10-year CHD risk of 10–20% or an LDL ≥160 mg/dL) or high (10-year CHD risk ≥20% or an LDL ≥190 mg/dL) CVD risk||
|Interventions||Statin (in a lower dose) + other lipid-lowering medications including:
|Comparisons of Interest||Higher dose statin monotherapy:
||If there is no comparison, the study will be excluded.|
||Composite outcomes (e.g., major adverse cardiac event)|
|Type of Study and Timing||
|Generic Name||U.S. Trade Name||Route||Class|
|Abbreviations: FDA = U.S. Food and Drug Administration; HMG-CoA = 3-hydroxy-3-methyl-glutaryl- coenzyme A reductase; N/A = not applicable; XL = extended release|
|Atorvastatin||Lipitor®||Oral||HMG-CoA reductase inhibitor (statin)|
|Fluvastatin||Lescol®||Oral||HMG-CoA reductase inhibitor (statin)|
|Fluvastatin XL||Lescol XL®||Oral||HMG-CoA reductase inhibitor (statin)|
|Lovastatin||Mevacor®||Oral||HMG-CoA reductase inhibitor (statin)|
|Pitavastatin||Livalo®||Oral||HMG-CoA reductase inhibitor (statin)|
|Pravastatin||Pravachol®||Oral||HMG-CoA reductase inhibitor (statin)|
|Rosuvastatin||Crestor®||Oral||HMG-CoA reductase inhibitor (statin)|
|Simvastatin||Zocor®||Oral||HMG-CoA reductase inhibitor (statin)|
|Cholestyramine||Prevalite®||Oral||Bile acid sequestrant|
|Colesevelam||Welchol®||Oral||Bile acid sequestrant|
|Colestipol||Colestid®; Flavored Colestid®||Oral||Bile acid sequestrant|
|Ezetimibe||Zetia®||Oral||Cholesterol absorption inhibitor|
|Fenofibrate||Tricor®; Triglide®; Lipofen®; Fenoglide®||Oral||Fibric acid|
|Fenofibric acid||Fibricor®; Trilipix®||Oral||Fibric acid|
|Niacin||Niaspan®; Niacor®||Oral||Nicotinic acid|
|Omega-3-acid ethyl ester||Lovaza®; Omacor®||Oral||Omega-3-acid ethyl ester|
|Icosapent ethyl||Vascepa®||Oral||Omega-3-acid ethyl ester|
|Atorvastatin + ezetimibe||N/A – Under FDA review||Oral||HMG-CoA reductase inhibitor (statin) + ezetimibe|
|Lovastatin + niacin||Advicor®||Oral||HMG-CoA reductase inhibitor (statin) + nicotinic acid|
|Simvastatin + ezetimibe||Vytorin®||Oral||HMG-CoA reductase inhibitor (statin) + ezetimibe|
|Simvastatin + niacin||Simcor®||Oral||HMG-CoA reductase inhibitor (statin) + nicotinic acid|
Searching for the Evidence: Literature Search Strategies for Identification of Relevant Studies To Answer the Key Questions
We will develop a search strategy for MEDLINE®, accessed via PubMed®, based on an analysis of the medical subject headings (MeSH®) terms for all potential relevant publications and text words of key articles identified a priori. The search will be updated during the peer review process. We will search the following databases for primary studies: MEDLINE, EMBASE®, and the Cochrane Central Register of Controlled Trials (CENTRAL). Our preliminary search strategy for MEDLINE is shown in Appendix A.
The initial literature search for this project included MEDLINE from 1966 to May 2009, EMBASE from 1980 to May 2009, and the Cochrane Library to the third quarter of 2008. We will include an overlap in search dates, per AHRQ guidance on updating reviews,32 searching MEDLINE from May 2008 to January 2013, EMBASE from May 2008 to January 2013, and the Cochrane library from the fourth quarter of 2007 to the first quarter of 2013.
We will also review the reference lists of each included article, relevant review articles, and related systematic reviews. We will include extensions of RCTs of over 24 weeks, as these will provide long-term followup of a trial population where certain adverse effects may be identified that were not identified within the original study period. We will also assess for serious and rare harms by including and reviewing harms reports from the FDA, as well as the scientific information packets provided by pharmaceutical manufacturers of all drugs.
To identify ongoing clinical trials, we will search the World Health Organization International Trials Registry (http://apps.who.int/trialsearch/ ) and ClinicalTrials.gov (http://clinicaltrials.gov) and will use the information provided in the Scientific Information Package provided by the AHRQ Scientific Resource Center on the drugs included in this study.
Data Abstraction and Data Management
We will use DistillerSR (Evidence Partners, Ottawa, Canada) to manage the screening process. DistillerSR is a Web-based database management program that manages all levels of the review process. All applicable citations identified by the search strategies are uploaded to the system and reviewed in the following manner:
- Abstract screening. Two investigators will independently review abstracts, which will be excluded if both investigators agree that the article meets one or more of the exclusion criteria listed in Table A. Differences between investigators regarding abstract eligibility will be tracked and resolved through consensus adjudication. Relevant reviews, including systematic reviews and meta-analyses, will be tagged for a search of their reference lists.
- Full-text screening. Citations promoted on the basis of the abstract review will undergo another independent parallel review using the full text of the articles to determine if they should be included in the final qualitative and quantitative systematic review and meta-analysis. The differences regarding article inclusion will again be tracked and resolved through consensus adjudication. We will also screen at the full-text level all studies included in the previous CER to ensure that they meet the current eligibility criteria.
We will use a systematic approach to extract the data to minimize the risk of bias in this process. We will create standardized forms for data extraction, which will be pilot tested. By creating standardized forms for data extraction, we will maximize consistency in identifying pertinent data available for synthesis. Each article will undergo double review by study investigators for data abstraction. The second reviewer will confirm the first reviewer‘s data abstraction for completeness and accuracy. A third reviewer will audit a random sample of articles assessed by the first two reviewers to ensure consistency in the data abstraction of the articles. Articles referring to the same study will be abstracted on a single review form if reporting the same data or on separate forms if necessary with clear information provided that the results should be interpreted as from the same study. Reviewers will not be masked to the articles’ authors, institution, or journal. For all articles, reviewers will extract information on general study characteristics (e.g., study design, study period, and followup), study participants (e.g., age, sex, race/ethnicity, etc.), eligibility criteria, interventions (e.g., medication name, medication dose), outcome measures and the method of ascertainment, and the results of each outcome, including measures of variability. We will integrate the data previously abstracted from the previous CER for all studies from this previous review that will be included in this current review. If these previous data are missing any elements included in our current abstraction forms, then we will abstract this information from these articles.
We will complete the article data abstraction process using the Systematic Review Data Repository™ (SRDR), a Web-based repository. This resource serves as both an archive and a data extraction tool. Data will be exported from the SRDR into a project-specific Access database (Microsoft, Redmond, WA) to serve as archived or backup copies and to create detailed evidence tables and summary tables.
We have obtained data files from the previous CER. We will examine the contents of these data files to determine if additional data need to be abstracted from these articles (e.g., population characteristics).
Assessment of Methodological Risk of Bias of Individual Studies
The assessment of risk of bias of included trials will be conducted independently and in duplicate based on the Cochrane Collaboration's Risk of Bias Tool. 33 For nonrandomized studies (NRS), we will use the Newcastle Ottawa Scale.34 We will supplement these tools with additional assessment questions, such as use of appropriate analysis, based on recommendations in the AHRQ Methods Guide for Effectiveness and Comparative Effectiveness Reviews (hereafter Methods Guide).35
Qualitative synthesis will be completed, grouped by type of intervention (i.e., statin + ezetimibe vs. statin monotherapy; statin + nicotinic acid vs. statin monotherapy). We will integrate the results of all trials (RCTs + NRSs) qualitatively. Our comparison of a lower dose statin in combination therapy with higher dose statin monotherapy will be statin specific. In order to avoid multiple comparisons across numerous permutations of lower versus higher dose statins, we will group statins based on their potency to reduce LDL-c, as determined by a recent systematic review.36 This represents a change from the approach used in the original CER, which grouped statins according to dose; but, we believe that this new categorization more accurately equilibrates the different statins.
|Statin||Atorva-statin (mg/day)||Fluvastatin (mg/day)||Fluvastatin XL (mg/day)||Lova-statin (mg/day)||Pitava-statin (mg/day)||Pravastatin (mg/day)||Rosuva-statin (mg/day)||Simvastatin (mg/day)|
|*Studies that use 80-mg simvastatin in statin-naïve patients will be excluded.
Abbreviations: LDL = low-density lipoprotein; LDL-c = apolipoprotein B-100-–containing low-density lipoprotein; XL = extended release
|Low potency (< 30% LDL reduction)||5||20 and/ or 40||—||5 and/ or 10 and/ or 20||1||10 and/ or 20 and/ or 40||—||10|
|Mid potency (30-40% LDL reduction)||10||80||80||40 and/ or 80||2 and/or 4||80||5 and/or 10||20|
|High potency (> 40% LDL reduction)||20 and/ or 40 and/ or 80||—||—||—||—||—||20 and/or 40||40 and/ or 80*|
We will create a set of detailed evidence tables containing all information abstracted from eligible studies. We will include data from the initial report, which will be integrated with the new data we abstract during the current CER. We will conduct meta-analyses of summary data when there are sufficient data (at least three studies of the same design) and studies are sufficiently homogenous with respect to key variables (population characteristics, intervention, and outcome). RCTs and NRSs will be analyzed separately. All analyses will be intention to treat. Statistical significance (will be set at a two-sided alpha of 0.05). Studies that are not amenable to pooling will be summarized qualitatively.
For studies amenable to pooling with meta-analyses, we will calculate a weighted mean difference using a random effects model with the DerSimonian and Laird formula for continuous outcomes.37 We will calculate a pooled effect estimate of the relative risk between trial arms from RCTs for dichotomous outcomes, with each study weighted by the inverse variance, using a random effects model with the DerSimonian and Laird formula for calculating between-study variance.37 We will evaluate for statistical heterogeneity among studies using an I2 statistic and anticipate statistical heterogeneity. A value greater than 50 percent will be considered to have substantial statistical heterogeneity. If we find substantial heterogeneity, we will attempt to determine potential reasons by conducting a meta-regression if covariate information (age, sex, and dose) is available.
For sparse-data meta-analysis, we will employ the Peto odds ratio method when event rates are less than 1 percent.38. When between-event rates are between 5 to 10 percent, substantial differences between the N of two arms, or when the effect size is large, dichotomous data will be meta-analyzed using the Mantel-Haenszel method without continuity correction.39 Dichotomous data with zero values in both arms will not be included in the meta-analyses.
Publication bias may be examined using Begg‘s and Eggers tests (with an alpha of 0.10) including evaluation of the asymmetry of funnel plots for each comparison of interest for the outcomes where meta-analyses are conducted.40 Criteria for testing for funnel plot asymmetry will be at least 10 studies of unequal sizes contributing quantitative data for which there are no apparent relationship between study size and between study clinical or methodological diversity.41 All meta-analyses will be conducted using STATA® (StataCorp, College Station, TX).
We will report benefits and harms for subgroups of interest including age groups, race, ethnicity, and gender. We will examine these subgroups by evaluating effect in both moderate and high CHD risk, as well as stratified by CHD risk. We will also examine subgroups of patients of higher CHD risk including patients with diabetes mellitus, patients with pre-existing CVD including those with established vascular or cerebrovascular diseases, and patients with an LDL-c of 190 mg/dL or above.
Grading the Strength of Evidence for Individual Comparisons and Outcomes
At the completion of our review, two reviewers will independently grade the strength of evidence on key outcomes—including, all-cause mortality, vascular death, SAEs, and attainment of NCEP-ATP III LDL-c goals—by adapting a grading scheme recommended in the AHRQ Methods Guide.42 We will consider four domains: risk of bias of included studies, directness, consistency, and precision. We will grade evidence for each outcome identified in the KQs.
We will classify evidence pertaining to KQs 1, 2, and 3 into four categories:
- “High” grade (indicating high confidence that the evidence reflects the true effect and further research is very unlikely to change our confidence in the estimate of the effect).
- “Moderate” grade (indicating moderate confidence that the evidence reflects the true effect, and further research may change our confidence in the estimate of the effect and may change the estimate).
- “Low” grade (indicating low confidence that the evidence reflects the true effect, and further research is likely to change our confidence in the estimate of the effect and is likely to change the estimate).
- “Insufficient” grade (evidence is unavailable).
The grade of evidence for each KQ will be based on consensus.
The strength of evidence in the initial CER had been evaluated before AHRQ guidance was developed for the Evidence-based Practice Center Program. We have received data files from the original CER from the University of Ottawa and will re-evaluate the prior trials and redo the grading.
We will consider elements of the PICOTS framework when evaluating the applicability of evidence to answer our KQs as recommended in the Methods Guide.35 We will consider important population characteristics (e.g., women, minorities, diabetics), treatment characteristics (e.g., statin type, statin potency), and settings (e.g., a study conducted in a non-U.S. health care setting) that may cause heterogeneity of treatment effects and limit applicability of the findings.
Summary of Changes From the Previous Systematic Review
We will include adults at moderate and high risk of CVD (the previous report had no restrictions by patient CVD-risk level). We will specifically exclude studies of patients with homozygous familial hypercholesterolemia.
We will include drugs that were not previously FDA-approved at the time of the previous review. Drugs that will potentially be approved by the FDA in the near future will be included, specifically the prepackaged combination of atorvastatin + ezetimibe.
We will include diabetes mellitus and acute kidney injury/chronic kidney disease as potential harms.
Type of Study and Timing
The only observational studies we will include will be extensions of RCTs looking at long-term outcomes. The previous CER considered any NRS over 24 weeks in duration.
We will group statins according to their potency to reduce LDL-c.
- Go AS, Mozaffarian D, Roger VL, et al; American Heart Association Statistics Committee and Stroke Statistics Committee. Heart Disease and Stroke Statistics—2013 update: a report from the American Heart Association. Circulation. 2013 Jan 1;127(1):e6-e245. DOI: 10.1161/CIR.0b013e31828124ad
- Pekkanen J, Linn S, Heiss G, et al. Ten-year mortality from cardiovascular disease in relation to cholesterol level among men with and without preexisting cardiovascular disease. N Engl J Med. 1990 Jun 14;322(24):1700-7. PMID: 2342536.
- Cui Y, Blumenthal RS, Flaws JA, et al. Non–high-density lipoprotein cholesterol level as a predictor of cardiovascular disease mortality.Arch Intern Med. 2001 Jun 11;161(11):1413-9. PMID: 11386890.
- de Lemos J, Braunwald E, Blazing M, et al; Cholesterol Treatment Trialists' Collaboration. Efficacy and safety of more intensive lowering of LDL cholesterol: a meta-analysis of data from 170,000 participants in 26 randomised trials. Lancet. 2010 Nov 13;376(9753):1670-81. PMID: 21067804.
- Taylor F, Ward K, Moore T, et al. Statins for the primary prevention of cardiovascular disease. Cochrane Database Syst Rev. 2011 Jan 19;(1):CD004816. DOI: 10.1002/14651858.CD004816.pub4.
- Grundy SM, Cleeman JI, Merz CNB, et al; Coordinating Committee of the National Cholesterol Education Program. Implications of recent clinical trials for the national cholesterol education program adult treatment panel III guidelines. JAMA. 2004 Aug 4;44(3):720-32. PMID: 15358046.
- National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Third report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002 Dec 17;106(25):3143-421. PMID: 12485966.
- Heart Protection Study Collaborative Group. MRC/BHF Heart Protection Study of cholesterol lowering with simvastatin in 20536 high-risk individuals: a randomised placebo-controlled trial. Lancet. 2002 Jul 6;360(9326):7-22. PMID: 12114036.
- Cannon CP, Braunwald E, McCabe CH, et al; Provastatin or Atorvastatin Evaluation and Infection Therapy-Thrombolysis in Myodardial Infarction 22 Investigators. Intensive versus moderate lipid lowering with statins after acute coronary syndromes. N Engl J Med. 2004 Apr 8;350(15):1495-504. PMID: 15007110.
- Corti R, Fayad ZA, Fuster V, et al. Effects of lipid-lowering by simvastatin on human atherosclerotic lesions. Circulation. 2001 Jul 17;104(3):249-52. PMID: 11457739.
- Schartl M, Bocksch W, Koschyk DH, et al. Use of intravascular ultrasound to compare effects of different strategies of lipid-lowering therapy on plaque volume and composition in patients with coronary artery disease. Circulation. 2001 Jul 24;104(4):387-92. PMID: 11468198.
- Ridker PM, Rifai N, Pfeffer MA, et al; Cholesterol and Recurrent Events Investigators. Long-term effects of pravastatin on plasma concentration of C-reactive protein. Circulation. 1999 Jul 20;100(3):230-5. PMID: 10411845.
- Egashira K, Hirooka Y, Kai H, et al. Reduction in serum cholesterol with pravastatin improves endothelium-dependent coronary vasomotion in patients with hypercholesterolemia. Circulation. 1994 Jun;89(6):2519-24. PMID: 8205659.
- Shepherd J, Cobbe SM, Ford I, et al; West of Scotland Coronary Prevention Study Group. Prevention of coronary heart disease with pravastatin in men with hypercholesterolemia. 1995.N Engl J Med. 1995 Oct;333(20):1301-8. PMID: 15531281.
- Downs JR, Clearfield M, Weis S, et al. Primary prevention of acute coronary events with lovastatin in men and women with average cholesterol levels: results of AFCAPS/TexCAPS. Air Force/Texas Coronary Atherosclerosis Prevention Study. JAMA. 1998 May 27;279(20):1615-22. PMID: 9613910.
- Sever PS, Dahlof B, Poulter NR, et al; ASCOT Investigators. Prevention of coronary and stroke events with atorvastatin in hypertensive patients who have average or lower-than-average cholesterol concentrations, in the Anglo-Scandinavian Cardiac Outcomes Trial–Lipid Lowering Arm (ASCOT-LLA): a multicentre randomised controlled trial. Lancet. 2003 Apr 5;361(9364):1149-58. PMID: 12686036.
- Ridker PM DE, Fonseca FA, Genest J, Gotto AM Jr, Kastelein JJ, Koenig W, Libby P, Lorenzatti AJ, MacFadyen JG, Nordestgaard BG, Shepherd J, Willerson JT, Glynn RJ, JUPITER Study Group. Rosuvastatin to prevent vascular events in men and women with elevated C-reactive protein. N Engl J Med. 2008;359(21):2195.
- LaRosa JC, Grundy SM, Waters DD, et al; Treating to New Targets (TNT) Investigators. Intensive lipid lowering with atorvastatin in patients with stable coronary disease. N Engl J Med. 2005 Apr 7;352(14):1425-35. PMID: 15755765.
- Sacks FM, Pasternak RC, Gibson CM, et al; Harvard Atherosclerosis Reversibility Project (HARP) Group. Effect on coronary atherosclerosis of decrease in plasma cholesterol concentrations in normocholesterolaemic patients. Lancet. 1994 Oct 29;344(8931):1182-6. PMID: 7934538.
- Ginsberg HN, Elam MB, Lovato LC, et al; ACCORD Study Group. Effects of combination lipid therapy in type 2 diabetes mellitus. N Engl J Med. 2010 Apr 29;362(17):1563-74. PMID: 20228404.
- Brown BG, Zhao XQ, Chait A, et al. Simvastatin and niacin, antioxidant vitamins, or the combination for the prevention of coronary disease. N Engl J Med. 2001 Nov 29;345(22):1583-92. PMID: 11757504.
- Taylor AJ, Villines TC, Stanek EJ, et al. Extended-release niacin or ezetimibe and carotid intima-media thickness. N Engl J Med. 2009 Nov 26;361(22):2113-22. PMID: 19915217.
- Boden WE, Probstfield JL, Anderson T, et al; AIM-HIGH Investigators. Niacin in patients with low HDL cholesterol levels receiving intensive statin therapy. N Engl J Med. 2011 Dec 15;365(24):2255-67. PMID: 22085343.
- Sharma M, Ansari MT, Abou-Setta AM, et al. Systematic review: comparative effectiveness and harms of combination therapy and monotherapy for dyslipidemia. Ann Intern Med. 2009 Nov 3;151(9):622-30. PMID: 19884623.
- Sharma M, Ansari MT, Soares-Weiser K, et al. Comparative Effectiveness of Lipid-Modifying Agents. Comparative Effectiveness Review No. 16. Prepared by the University of Ottawa Evidence-based Practice Center under Contract No. 290-02-0021). AHRQ Publication No. 09-EHC024-EF. Rockville, MD: Agency for Healthcare Research and Quality; September 2009. Available at http://www.effectivehealthcare.ahrq.gov/ehc/products/11/171/reptbodyfin-typofixed4-12-2010.pdf.
- Robinson JG, Ballantyne CM, Grundy SM, et al. Lipid-altering efficacy and safety of ezetimibe/simvastatin versus atorvastatin in patients with hypercholesterolemia and the metabolic syndrome (from the VYMET study).Am J Cardiol. 2009 Jun 15;103(12):1694-702. PMID: 19539078.
- Bays HE, Davidson MH, Massaad R, et al. Safety and efficacy of ezetimibe added on to rosuvastatin 5 or 10 mg versus up-titration of rosuvastatin in patients with hypercholesterolemia (the ACTE Study). Am J Cardiol. 2011 Aug 15;108(4):523-30. PMID: 21596364.
- Zieve F, Wenger NK, Ben-Yehuda O, et al. Safety and efficacy of ezetimibe added to atorvastatin versus up titration of atorvastatin to 40 mg in patients > or = 65 years of age (from the ZETia in the ELDerly [ZETELD] study). Am J Cardiol. 2010 Mar 1;105(5):656-63. PMID: 20185012.
- Derosa G, Maffioli P, Salvadeo SAT, et al. Fenofibrate, simvastatin and their combination in the management of dyslipidaemia in type 2 diabetic patients. Curr Med Res Opin. 2009 Aug 25;25(8):1973-83. PMID: 19555253.
- Goldberg AC, Bittner V, Pepine CJ, et al. Efficacy of fenofibric acid plus statins on multiple lipid parameters and its safety in women with mixed dyslipidemia. Am J Cardiol. 2011 Mar 15;107(6):898-905. PMID: 21247520.
- Bozzetto L, Annuzzi G, Corte GD, et al. Ezetimibe beneficially influences fasting and postprandial triglyceride-rich lipoproteins in type 2 diabetes. Atherosclerosis. 2011 Jul;217(1):142-8. PMID: 21481394.
- Tsertsvadze A, Maglione M, Chou, R, Garritty C, Coleman C, Lux L, Bass E, Balshem H, Moher D. Updating Comparative Effectiveness Reviews: Current Efforts in AHRQ’s Effective Health Care Program. Methods Guide for Comparative Effectiveness Reviews. (Prepared by the University of Ottawa EPC, RAND Corporation–Southern California EPC, Oregon EPC, University of Connecticut EPC, RTI–University of North Carolina EPC, Johns Hopkins Bloomberg School of Public Health EPC under Contract No. 290-02-0021 EPC2). AHRQ Publication No. 11-EHC057-EF. Rockville, MD: Agency for Healthcare Research and Quality. July 2011. Available at: www.effectivehealthcare.ahrq.gov.
- Higgins JPT, Green S, eds. Cochrane Handbook for Systematic Reviews of Interventions. Version 5.1.0. London: The Cochrane Collaboration; March 2011. Available at http://handbook.cochrane.org.
- Wells GA, Shea B, O'Connel D, et al. The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomised Studies in Meta-analyses. Available at http://www.ohri.ca/programs/clinical_epidemiology/oxford.htm. Accessed January 21, 2011.
- Methods Guide for Effectiveness and Comparative Effectiveness Reviews. AHRQ Publication No. 10(12)-EHC063-EF. Rockville, MD: Agency for Healthcare Research and Quality; Aparil 2012. Available at http://effectivehealthcare.ahrq.gov/ehc/products/60/318/MethodsGuide_Prepublication-Draft_20120523.pdf.
- Weng TC, Yang YH, Lin SJ, et al. A systematic review and meta-analysis on the therapeutic equivalence of statins. J Clin Pharm Ther. 2010 Apr;35(2):139-51. PMID: 20456733.
- DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986 Sep;7(3):177-88. PMID: 3802833.
- Yusuf S PR, Lewis J, et al. . Beta blockade during and after myocardial infarction. An overview of randomized trials. Prog Cardiovasc Dis. 1985 Mar-Apr;27(5):335-71. PMID: 2858114.
- Fu R GG, Grant M, Shamliyan T, Sedrakyan A, Wilt TJ, Griffith L, Oremus M, Raina P, Ismaila A, Santaguida P, Lau J, Trikalinos TA. Conducting quantitative synthesis when comparing medical interventions: AHRQ and the Effective Health Care Program. J Clin Epidemiol. 2011;64(11):1187-97.
- Fu R, Gartlehner G, Grant M, et al. Conducting quantitative synthesis when comparing medical interventions: AHRQ and the Effective Health Care Program. J Clin Epidemiol. 2011 Nov;64(11):1187-97. PMID: 21477993.
- Sterne JA, Sutton AJ, Ioannidis JP, et al. Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials. BMJ. 2011 Jul 22;343:d4002. DOI: 10.1136/bmj.d4002.
- Owens DK, Lohr KN, Atkins D, et al. AHRQ series paper 5: grading the strength of a body of evidence when comparing medical interventions—Agency for Healthcare Research and Quality and the Effective Health-Care Program. J Clin Epidemiol. 2010 May;63(5):513-23. PMID: 19595577.
VI. Definition of Terms
VII. Summary of Protocol Amendments
VIII. Review of Key Questions
For all EPC reviews, Key Questions were reviewed and refined as needed by the EPC with input from Key Informants and the Technical Expert Panel (TEP) to assure that the questions are specific and explicit about what information is being reviewed. In addition, the Key Questions were posted for public comment and finalized by the EPC after review of the comments.
IX. Key Informants
Key Informants are the end-users of research, including patients and caregivers, practicing clinicians, relevant professional and consumer organizations, purchasers of health care, and others with experience in making health care decisions. Within the EPC program, the Key Informant role is to provide input into identifying the Key Questions for research that will inform health care decisions. The EPC solicits input from Key Informants when developing questions for systematic review or when identifying high-priority research gaps and needed new research. Key Informants are not involved in analyzing the evidence or writing the report and have not reviewed the report, except as given the opportunity to do so through the peer or public review mechanism.
Key Informants must disclose any financial conflicts of interest greater than $10,000 and any other relevant business or professional conflicts of interest. Because of their role as end-users, individuals are invited to serve as Key Informants and those who present with potential conflicts may be retained. The TOO and the EPC work to balance, manage, or mitigate any potential conflicts of interest identified.
X. Technical Experts
Technical Experts comprise a multidisciplinary group of clinical, content, and methodological experts who provide input in defining populations, interventions, comparisons, or outcomes as well as identifying particular studies or databases to search. They are selected to provide broad expertise and perspectives specific to the topic under development. Divergent and conflicted opinions are common and perceived as health scientific discourse that results in a thoughtful, relevant systematic review. Therefore study questions, design and/or methodological approaches do not necessarily represent the views of individual technical and content experts. Technical Experts provide information to the EPC to identify literature search strategies and recommend approaches to specific issues as requested by the EPC. Technical Experts do not do analysis of any kind nor contribute to the writing of the report and have not reviewed the report, except as given the opportunity to do so through the peer or public review mechanism.
Technical Experts must disclose any financial conflicts of interest greater than $10,000 and any other relevant business or professional conflicts of interest. Because of their unique clinical or content expertise, individuals are invited to serve as Technical Experts and those who present with potential conflicts may be retained. The TOO and the EPC work to balance, manage, or mitigate any potential conflicts of interest identified.
XI. Peer Reviewers
Peer reviewers are invited to provide written comments on the draft report based on their clinical, content, or methodological expertise. Peer review comments on the preliminary draft of the report are considered by the EPC in preparation of the final draft of the report. Peer reviewers do not participate in writing or editing of the final report or other products. The synthesis of the scientific literature presented in the final report does not necessarily represent the views of individual reviewers. The dispositions of the peer review comments are documented and will, for CERs and Technical Briefs, be published 3 months after the publication of the Evidence report.
Potential Reviewers must disclose any financial conflicts of interest greater than $10,000 and any other relevant business or professional conflicts of interest. Invited Peer Reviewers may not have any financial conflict of interest greater than $10,000. Peer reviewers who disclose potential business or professional conflicts of interest may submit comments on draft reports through the public comment mechanism.
XII. EPC Team Disclosures
EPC core team members must disclose any financial conflicts of interest greater than $1,000 and any other relevant business or professional conflicts of interest. Related financial conflicts of interest that cumulatively total greater than $1,000 will usually disqualify EPC core team investigators.
XIII. Role of the Funder
This project was funded under Contract No. HHSA 2902012000071 from the Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services. The Task Order Officer reviewed contract deliverables for adherence to contract requirements and quality. The authors of this report are responsible for its content. Statements in the report should not be construed as endorsement by the Agency for Healthcare Research and Quality or the U.S. Department of Health and Human Services.
Appendix A. Search Strategy
“Hydroxymethylglutaryl-CoA Reductase Inhibitors” [mh] OR “Heptanoic Acids” [mh] OR “Heptanoic Acids” [tiab] OR statin*[tiab] OR “reductase inhibitor*”[tiab] OR Simvastatin [mh] OR Simvastatin [tiab] OR Atorvastatin [nm] OR Atorvastatin [tiab] OR Rosuvastatin [nm] OR Rosuvastatin [tiab] OR Pravastatin [mh] OR Pravastatin [tiab] OR Lovastatin [mh] OR Lovastatin [tiab] OR Fluvastatin [nm] OR Fluvastatin [tiab] OR Pitavastatin[nm] OR Pitavastatin[tiab]
(fatty acids, omega-3 [mh] OR "omega 3" [tiab] OR “fatty acids” [tiab] OR fatty acids, essential [MH] OR Dietary Fats, Unsaturated [MH] OR linolenic acids [MH] OR linolenic acids [tiab] OR fish oils [MH] OR “fish oils” [tiab] OR alpha linolenic acid[mh] OR “alpha linolenic acid” [tiab] OR linolenate[mh] OR linolenate[tiab] OR nervonic acid[nm] OR “nervonic acid”[tiab] OR timnodonic acid[mh] OR timnodonic acid[tiab] OR Mediterranean diet[MH] OR (Mediterranean[tiab] AND diet[tiab]) OR Flax[MH] OR flaxseed [MH] OR linseed [MH] OR rapeseed [MH] OR canola [MH] OR soybean [MH] OR walnut [MH] OR ((Flax[tiab] OR flaxseed [tiab] OR linseed [tiab] OR rapeseed [tiab] OR canola [tiab] OR soybean [tiab] OR walnut [tiab]) AND Oil[tiab]) OR cod liver oil[MH] OR “cod liver oil”[tiab] OR salmon[MH] OR salmon[tiab]OR mackerel[MH] mackerel[tiab] or tuna[MH] or tuna[tiab] or halibut[MH] or halibut[tiab] or seal[MH] or seal[tiab] or seaweed [MH] or seaweed [tiab] OR anticholesteremics [MH] OR anticholesteremics [tiab] OR bile acids[MH] OR “bile acids”[tiab] OR (bile[tiab] AND resin*[tiab]) OR “bile acid sequestrant”[tiab] OR cholestyramine [MH] OR cholestyramine [tiab] OR colestyramin [MH] OR colestyramin [tiab] OR quantalan [MH] OR quantalan [tiab]OR questran [MH] OR questran [tiab] OR colesevelam[NM] OR colesevelam[tiab] OR Cholestyramine [MH] OR Cholestyramine [tiab] OR Colestipol [MH] OR Colestipol [tiab] OR colestilan[NM] OR colestilan[tiab] OR colestipol [MH] OR colestipol [tiab] OR ezetimibe[NM] OR ezetimibe[tiab] OR (cholesterol*[tiab] AND inhibitors*[tiab]) OR cholesterol inhibitors [MH] OR fibrates [MH] OR fibrates [tiab] OR fibric acid [nm] OR fibric acid [tiab] OR Clofibric acid [MH] OR Clofibric acid [tiab] OR Gemfibrozil [MH] OR Gemfibrozil [tiab] OR Procetofen [MH] OR Procetofen [tiab] OR fenofibrate [MH] OR fenofibrate [tiab] OR clofibric acid [MH] OR clofibric acid [tiab]OR procetofen[MH] OR procetofen[tiab] OR ciprofibrate[NM] OR ciprofibrate[tiab] OR niacin [MH] OR niacin [tiab] OR nicotinic acid[MH] OR nicotinic acid[tiab] OR niacin [MH] OR niacin [tiab] OR Zetia [NM] OR Zetia [tiab] OR Lopid [MH] OR Lopid [tiab] OR Tricor [MH] OR Tricor [tiab] OR Lofibra [MH] OR Welchol [NM] OR Welchol [tiab] OR Colestid [MH] OR Colestid [tiab] OR Questran [MH] OR Questran [tiab] OR Drug Therapy, Combination[MH] OR (combination[tiab] AND therapy[tiab]))
(randomized controlled trial[pt] OR controlled clinical trial [pt] or randomized controlled trials[mh] or random allocation[mh] or double-blind method[mh] or single-blind method[mh] OR clinical trial[pt] or clinical trials[mh] or (“clinical trial”[tw]) OR ((singl*[tw] OR doubl*[tw] OR trebl*[tw] OR tripl*[tw]) AND (mask*[tw] OR blind* [tw])) OR (“latin square”[tw]) OR placebos[mh] OR placebo*[tw] OR rando*[tw] OR research design[mh:noexp]) Not (animal[mh] Not human[mh])
Filters: Publication date from 2008/01/01 to 2013/12/31Return to Top of Page