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Published 31 August 2008, doi:10.1136/bmj.a1331
Cite this as: BMJ 2008;337:a1331
Christoph Stettler, senior research fellow1,2,3, Sabin Allemann, research fellow1,2, Simon Wandel, research fellow1, Adnan Kastrati, professor of cardiology4, Marie Claude Morice, professor of cardiology5, Albert Schömig, professor of medicine4, Matthias E Pfisterer, professor of cardiology6, Gregg W Stone, professor of medicine7, Martin B Leon, professor of medicine 7, José Suárez de Lezo, professor of cardiology8, Jean-Jacques Goy, professor of interventional cardiology9, Seung-Jung Park, professor of cardiology10, Manel Sabaté, associate professor of cardiology11, Maarten J Suttorp, head of department 12, Henning Kelbaek, associate professor of cardiology 13, Christian Spaulding, professor of cardiology 14, Maurizio Menichelli, interventional cardiologist15, Paul Vermeersch, interventional cardiologist16, Maurits T Dirksen, training fellow in cardiology17, Pavel Cervinka, cardiologist18, Marco De Carlo, vice director19, Andrejs Erglis, associate professor of cardiology20, Tania Chechi, interventional cardiologist21, Paolo Ortolani, interventional cardiologist22, Martin J Schalij, professor of cardiology23, Peter Diem, head of division 2, Bernhard Meier, professor of cardiology24, Stephan Windecker, head of invasive cardiology 24,25, Peter Jüni, head of division 1,25
1 Institute of Social and Preventive Medicine, University of Bern, 3012 Bern, Switzerland, 2 Division of Endocrinology, Diabetes and Clinical Nutrition, University Hospital, Bern, Switzerland, 3 International Centre for Circulatory Health, National Heart and Lung Institute, Imperial College, London, 4 Deutsches Herzzentrum, Technische Universität, Munich, Germany, 5 Institut Hospitalier Jacques Cartier, Massy, France, 6 Division of Cardiology, University Hospital, Basel, Switzerland, 7 Columbia University Medical Center, New York, USA, 8 Servicio de Cardiología, Hospital Universitario Reina Sofía, Cordoba, Spain, 9 Service of Cardiology, Clinique Cecil, Lausanne, Switzerland, 10 Department of Medicine, ASAN Medical Center, Seoul, Korea, 11 Department of Interventional Cardiology, Hospital de San Pau, Barcelona, Spain, 12 Department of Interventional Cardiology, St Antonius Hospital, Nieuwegein, Netherlands, 13 Cardiac Catheterisation Laboratory, Rigshospitalet, Copenhagen, Denmark, 14 Cochin Hospital, Assistance Publique Hôpitaux de Paris, Paris Descartes University, and INSERM U 780, Paris, France, 15 San Camillo Hospital, Rome, Italy, 16 Antwerp Cardiovascular Institute Middelheim, Antwerp, Belgium, 17 Amsterdam Department of Interventional Cardiology, Onze Lieve Vrouwe Gasthuis, Amsterdam, Netherlands, 18 Division of Cardiology, Masaryk Hospital, Ústí nad Labem, Czech Republic, 19 Cardiothoracic and Vascular Department, University of Pisa, Italy, 20 University of Latvia, Institute of Cardiology, Riga, Latvia, 21 Cardiologia e Cardiologia Invasiva 2–AOU-Careggi, Florence, Italy, 22 Institute of Cardiology, S Orsola-Malpighi Hospital, University of Bologna, Italy, 23 Department of Cardiology, Leiden University Medical Center, Leiden, Netherlands, 24 Department of Cardiology, Bern University Hospital, Bern, Switzerland, 25 CTU Bern, Bern University Hospital, 3010 Bern, Switzerland
Correspondence to: P Jüni juni{at}ispm.unibe.ch
Design Collaborative network meta-analysis.
Data sources Electronic databases (Medline, Embase, the Cochrane Central Register of Controlled Trials), relevant websites, reference lists, conference abstracts, reviews, book chapters, and proceedings of advisory panels for the US Food and Drug Administration. Manufacturers and trialists provided additional data.
Review methods Network meta-analysis with a mixed treatment comparison method to combine direct within trial comparisons between stents with indirect evidence from other trials while maintaining randomisation. Overall mortality was the primary safety end point, target lesion revascularisation the effectiveness end point.
Results 35 trials in 3852 people with diabetes and 10 947 people without diabetes contributed to the analyses. Inconsistency of the network was substantial for overall mortality in people with diabetes and seemed to be related to the duration of dual antiplatelet therapy (P value for interaction 0.02). Restricting the analysis to trials with a duration of dual antiplatelet therapy of six months or more, inconsistency was reduced considerably and hazard ratios for overall mortality were near one for all comparisons in people with diabetes: sirolimus eluting stents compared with bare metal stents 0.88 (95% credibility interval 0.55 to 1.30), paclitaxel eluting stents compared with bare metal stents 0.91 (0.60 to 1.38), and sirolimus eluting stents compared with paclitaxel eluting stents 0.95 (0.63 to 1.43). In people without diabetes, hazard ratios were unaffected by the restriction. Both drug eluting stents were associated with a decrease in revascularisation rates compared with bare metal stents in people both with and without diabetes.
Conclusion In trials that specified a duration of dual antiplatelet therapy of six months or more after stent implantation, drug eluting stents seemed safe and effective in people both with and without diabetes.
Randomised trials have reported a reduced revascularisation rate with both sirolimus eluting stents and paclitaxel eluting stents compared with bare metal stents in people with diabetes,2 3 4 w1-w3 but the trials were hampered by small numbers of patients and a limited duration of follow-up. A meta-analysis of four early trials in 428 people with diabetes that compared sirolimus eluting stents with bare metal stents for up to four years suggested a strongly increased risk of mortality (hazard ratio 2.90, 95% confidence interval 1.38 to 6.10).5 In view of an average rate of overall mortality of 12% over four years observed in people with diabetes,1 this hazard ratio would translate into a number needed to harm to cause one death over four years as low as 4 (95% confidence interval 2 to 22). Another meta-analysis, published simultaneously,6 also included more recent trials with shorter durations of follow-up: pooling 14 trials in 1411 people with diabetes resulted in a hazard ratio of only 1.27, but the 95% confidence interval ranged from 0.83 to 1.95 and was compatible with both moderate benefit and substantial harm.
Network meta-analyses7 8 or mixed treatment comparisons9 10 11 allow a unified, coherent analysis of all randomised controlled trials that compared either of the two drug eluting stents with bare metal stents or the two drug eluting stents head to head, while fully respecting randomisation. In a previous network meta-analysis1 we determined the average benefits and harms of all three stent types and provided preliminary results for overall mortality and the composite of death or myocardial infarction stratified according to the presence or absence of diabetes. Here we extend the network meta-analysis stratified according to diabetes status to include 35 trials in 14 799 patients, with data from five additional trials,w4-w8 a longer follow-up in one trial,w7 and data on cardiac death, myocardial infarction, stent thrombosis, and target lesion revascularisation as additional clinical outcomes.12 13 To address earlier concerns5 we prespecified overall mortality as the primary safety outcome and systematically explored the consistency of mortality data in people with diabetes.
We searched Medline, Embase, the Cochrane Central Register of Controlled Trials (from inception of each database to October 2007), and relevant websites (www.acc.org, www.tctmd.com, www.theheart.org, www.clinicaltrialresults.org) for studies in any language. We checked reference lists, conference abstracts, relevant reviews, book chapters, and the proceedings of the relevant advisory panels of the Food and Drug Administration, and we contacted manufacturers and trialists. (See web extra appendix 1 for details of the search strategy.)
Data extraction
Two investigators (CSt, SA) extracted data independently, with disagreements resolved in consultation with a third investigator (PJ). We asked the trialists and manufacturers of drug eluting stents to check the extracted information and to provide additional outcome data on an electronic form according to standardised definitions and attempted to obtain outcome data separately for people with and without diabetes.
We specified overall mortality as the primary safety outcome and target lesion revascularisation as the primary effectiveness outcome. Target lesion revascularisation was defined as repeat percutaneous intervention of the target lesion or bypass surgery of the target vessel done for restenosis or other complications of the target lesion (ranging from 5 mm proximal to 5 mm distal to the stent). We recorded the following secondary safety outcomes: cardiac death, defined as any death due to a cardiac cause (for example, myocardial infarction, low output failure, fatal arrhythmia), procedure related deaths, deaths related to concomitant treatment, and death of unknown cause; myocardial infarction, including fatal and non-fatal non-Q wave or Q wave myocardial infarction; a composite of death or myocardial infarction; and stent thrombosis, within the stented segment, confirmed by angiography or post-mortem examination in accordance with the criteria of the Academic Research Consortium, to ensure the inclusion of "secondary" stent thrombosis occurring after a patient had undergone a target lesion revascularisation. In addition, we recorded stent thrombosis according to the definitions used in individual trials (per protocol definition). The numbers of patients experiencing an event and the overall number of patients at risk were recorded separately for years 1 to 4.
To tackle potential sources of inconsistency in the network we determined the month of completion of patient recruitment as a measure of the period when a trial was done, the duration of follow-up in years, and the duration in months of dual antiplatelet therapy after stent implantation and assessed three key domains of internal validity14: concealment of allocation, blinding of research staff adjudicating clinical outcomes, and the inclusion of all randomised participants in the analysis according to the intention to treat principle. We considered trials to be of high quality that satisfied all three criteria (see also the criteria for quality assessment in the web extra, appendix 1). In most trials the precise durations of dual antiplatelet therapy in individual patients were unavailable. Therefore we obtained all relevant auxiliary information available for trials with a duration of dual antiplatelet therapy of less than six months, such as the information stated in the protocol and the percentage of patients reporting the use of dual antiplatelet therapy at relevant time points. On the basis of this information two investigators (CSt, PJ) independently classified trials according to the likely percentage of patients taking clopidogrel at six months, in increments of 10% (<10%, 10% to <20%, and so on).
Statistical analysis
We used a hierarchical random effects model15 for mixed treatment comparisons9 based on piecewise constant hazards, with random effects at the levels of trials, adjacent time periods, and comparisons. We simultaneously estimated log hazard ratios for people with and without diabetes and the difference in log hazard ratios between such people. From the posterior distribution of the difference we estimated the P values for interaction between treatment effect and diabetes status. We excluded from the analyses time periods with zero events in both groups. Hazard ratios were estimated from the median, and the accompanying 95% credibility intervals from the 2.5th and 97.5th centiles of the posterior distribution. Because of low event rates we derived relative risks of stent thromboses using a previously described random effects Poisson regression model.11 As in the preceding study,1 we did separate analyses according to time of occurrence of stent thrombosis and an analysis of per protocol definitions of stent thrombosis as used in individual trials (see web extra appendix 1 for details of the models).
We evaluated the inconsistency of the network, defined as the variability of results across different comparisons of the network, by calculating inconsistency factors: the estimated difference between the log hazard ratios from direct comparisons within randomised trials and the log hazard ratios from indirect comparisons between randomised trials with one intervention in common.1 To allow intuitive interpretation we back transformed absolute values of these inconsistency factors to ratios of hazard ratios and expressed inconsistency as percentage difference in hazard ratios between direct randomised comparisons within trials and indirect comparisons between trials. Values can range from 0% to infinity. A value near 0 indicates that all the comparisons in the network are consistent, showing fully coherent estimates of hazard ratios comparing any two types of stent. The more the value deviates from 0% the more inconsistent the network. A value of 25%, corresponding to a ratio of hazard ratios of 1.25, may be interpreted to indicate low inconsistency, a value of 50% moderate inconsistency, and a value of 100%, corresponding to a ratio of hazard ratios of 2.00, high inconsistency (see web extra appendix 1). We evaluated heterogeneity between trials, defined as variability of results across trials within comparisons over and above chance, and the goodness of fit of the model to the data (see web extra appendix 1).
To investigate potential sources of variation in the network, we included the characteristics of the trials as covariates in the network meta-analysis of the primary safety outcome. We used prespecified cut-off points of two years for the length of follow-up, January 2004 for completion of patient recruitment, and six months for the duration of dual antiplatelet therapy. In some instances the numbers of trials and events were too low to allow the estimation of random effects at the level of time periods. Therefore we used a random effects Poisson regression model (see web extra appendix 1) for all of these analyses.11 P values for interaction between trial characteristics and treatment effect were derived from the posterior distribution of covariates. The duration of dual antiplatelet therapy specified in trial protocols was the only variable with a treatment by trial characteristic interaction at P<0.05. Therefore we restricted the dataset to trials with a duration of dual antiplatelet therapy of six months or longer and repeated all analyses. Heterogeneity between trials, defined as variability of results across trials within comparisons over and above chance, and the goodness of fit of the model to the data, were evaluated as previously reported (see web extra appendix 1).1 All analyses were done in WinBUGS version 1.4.1 and Stata version 9.2.
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Network of all trials: overall mortality
Table 1
presents the results of the network meta-analysis of overall mortality in people with and without diabetes. In people with diabetes the estimated hazard ratio for sirolimus eluting compared with bare metal stents was 1.14 (95% credibility interval 0.74 to 1.60), for paclitaxel eluting versus bare metal stents was 1.09 (0.71 to 1.66), and for sirolimus versus paclitaxel eluting stents was 1.02 (0.70 to 1.57), and compatible with both a substantial harm and a moderate benefit of either eluting stent compared with bare metal stents. The corresponding values for people without diabetes were 1.02 (0.77 to 1.29), 0.90 (0.67 to 1.16), and 1.13 (0.83 to 1.54; table 1
). A moderate to high inconsistency of 61% was found among people with diabetes, but none among people without diabetes.
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0.16). The estimated relative risk of death when sirolimus eluting stents were compared with bare metal stents was greater when the specified duration of dual antiplatelet therapy was less than six months (2.37, 95% credibility interval 1.18 to 5.12) compared with six months or longer (0.89, 0.58 to 1.40, P for interaction 0.02), however. When three trials originally classified to have a short duration of dual antiplatelet therapyw3 w20 w26 were reclassified to have a duration of six months or longer, reflecting the auxiliary information indicating that more than 10% of patients in these trials were still receiving dual antiplatelet therapy at six months, differences were maintained.
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0.28; also see web extra table D).
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0.47, see also web extra table D).
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0.44, see also web extra table D).
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Compared with bare metal stents, target lesion revascularisation rates are strongly decreased by use of sirolimus and paclitaxel drug eluting stents in people with and without diabetes. Numbers needed to treat to reduce one event over four years are 6 in people with diabetes and 8 in people without diabetes. Active angiographic follow-up increases the absolute rates of target lesion revascularisation.16 17 For example, the rate of target lesion revascularisation at one year in patients who had undergone implantation of a bare metal stent in the TAXUS IV trial was 18.9% in those allocated to active follow-up and 14.3% in those allocated to regular clinical follow-up without mandatory angiography. The number needed to treat to avoid one revascularisation would therefore be somewhat lower in clinical routine. Assuming revascularisation rates of 12% in people with diabetes and 9% in people without diabetes, as found in the Cardiac Care Network of Ontario at two years,18 numbers needed to treat were estimated as 13 for people with diabetes and 18 for people without diabetes.
Our study comprises a large body of evidence from randomised controlled trials in people with and without diabetes treated with one of two drug eluting stents or bare metal stents. Investigators and manufacturers provided additional data according to uniform outcome definitions, including a standardised definition for stent thrombosis according to the Academic Research Consortium consensus.13 This increases comparability between trials and limits bias, such as the censoring of events after intervening revascularisation.
Our previous network meta-analysis1 was recently criticised for integrating evidence from direct and indirect comparisons, for not comparing like with like, and for using random effects models that give undue weight to small studies.19 Our model was based on relative treatment effects (log hazards ratio), and variations in characteristics of patients or lesions between trials are fully accounted for in the analysis by maintaining randomised comparisons within each trial.1 Network meta-analysis makes similar assumptions to standard meta-analysis of direct comparisons within trials, but requires that these assumptions hold over the entire set of trials in the network.10 The smaller the heterogeneity between trials and the smaller the inconsistency of the data, the more likely relative treatment effects originate from the same distribution and less likely small trials get undue weight in the analysis. Therefore a careful exploration of heterogeneity between trials and inconsistency of the data is mandatory. Inspecting the entire network allowed us to gain insights into potential sources of variation, which could not have been achieved by an isolated look at just one set of trials comparing only two stent types. This led us to suggest a plausible explanation for the previously reported increase in the risk of death associated with sirolimus eluting stents compared with bare metal stents in people with diabetes5—that is, a restricted duration of dual antiplatelet therapy particularly in early trials.
Our exploration of inconsistency is observational in nature and has the same limitations as other observational studies.20 Most importantly, earlier trials had specified shorter durations of dual antiplatelet therapy than later trials. The duration of therapy was therefore bound to be negatively correlated with the duration of follow-up, and confounding could exist between the duration of therapy and the length of follow-up. Other potential confounders include changes over time in patient selection and procedural characteristics, such as an under-sizing or under-expansion of stents in early trials, or methodological quality. We addressed this by repeating tests of interaction between treatment effect and components of methodological quality or length of follow-up after the exclusion of trials with a duration of dual antiplatelet therapy of less than six months and found no evidence for an interaction in any of these analyses (data available on request).
We acknowledge that our results could be corroborated by an analysis of the actual duration of dual antiplatelet therapy in individual patients, but precise durations in individual patients are unavailable in most trials and we lacked the resources to retrospectively ascertain and validate usage data. Eight trials had specified a duration of dual antiplatelet therapy of less than six months. For five trials we are confident that the actual duration of dual antiplatelet therapy corresponded to the specified duration in at least 90% of patientsw7 w16-w19; in three trials, however, between 10% and 50% of the patients had dual antiplatelet therapy at six months.w3 w20 w26 Results were unaffected by the reclassification of these three trials to have a duration of dual antiplatelet therapy of six months or longer, and the P value for interaction between relative risk of death and duration of dual antiplatelet therapy became even smaller. Additionally, strut thickness or type of bare metal stent used in comparison groups might affect clinical outcomes.w21 Even though our results are robust to the adjustment for these characteristics of bare metal stents,1 we cannot fully exclude the possibility that differences in bare metal stents as comparators contributed to the observed variation in mortality between trials with short and long durations of dual antiplatelet therapy. Four trials included only people with diabetesw1-w3 w29 and one trial only people without diabetes.w33 Performing network meta-analyses separately for people with and without diabetes allowed us to also incorporate these trials in our analysis. An alternative approach would have been to model differences between people with and without diabetes directly within each trial, but at the price of excluding these five trials.w1-w3 w29 w33 A final limitation of our study is that we were unable to record information on specific antidiabetic treatment or on glycaemic control in people with diabetes mellitus and to perform separate analyses for people with diabetes who did or did not use insulin. Although these aspects are related to cardiovascular outcomes,21 they were per definition randomly distributed across comparison groups within each trial and it seems unlikely that they influenced results.
We found that the duration of dual antiplatelet therapy modified the safety profile of drug eluting stents mainly in people with diabetes. The beneficial effect of prolonged therapy in people with diabetes may be mainly related to differences in lesion characteristics. People with diabetes tend to have smaller vessels and longer lesions than people without diabetes and therefore require stents of smaller size and longer length. Previous studies have identified both vessel size and lesion length as predictors of stent thrombosis,22 which may explain the predisposition of people with diabetes to this adverse event in the absence of adequate antiplatelet therapy. In necropsy studies, drug eluting stents delayed arterial healing and re-endothelialisation compared with bare metal stents.23 24 Again, this effect may be enhanced in people with diabetes, particularly in the absence of dual antiplatelet therapy. Moreover, overall longer stents in people with diabetes may result in a prolongation of the healing and re-endothelialisation process. Finally, people with diabetes may be more likely to experience aspirin resistance than people without diabetes25 and may have a particular benefit from a complementary antiplatelet therapy with clopidogrel or ticlopidine. Taken together, these mechanisms may explain why prolonged dual antiplatelet therapy may be particularly important in people with diabetes.
We recently reported a potentially reduced average risk of myocardial infarction associated with sirolimus eluting stents compared with bare metal stents but not with paclitaxel eluting stents compared with bare metal stents.1 Our analysis suggests that this effect is likely to be present in people with diabetes, but wide credibility intervals of stratified analyses preclude firm conclusions. Stone et al found that about 1.4% of patients undergoing target lesion revascularisation developed a myocardial infarction associated with the procedure.26 A stent that decreases revascularisation rates will therefore result in a reduction of procedure related myocardial infarctions but this will result in a maximum reduction of the relative risk of about 4%, whereas the actually observed average relative risk reduction was 19%.1 Other mechanisms will therefore have to be considered. The process of restenosis in itself may result in myocardial infarction in some patients,27 and a more pronounced reduction of restenosis of sirolimus eluting stents may directly contribute to decreasing the risk of myocardial infarction. Although stent thrombosis is uncommon it is associated with a high incidence of myocardial infarction,26 and the benefits of drug eluting stents for myocardial infarctions are less likely to be offset by stent thromboses in sirolumus eluting stents than in paxlitaxel eluting stents.1
The mechanisms of action of the two drugs merit some consideration. Sirolimus, a macrocyclic lactone, inhibits mammalian target of rapamycin (mTOR) thereby blocking cell division by interfering at the transition from G1 to S phase.28 People with diabetes show a breakdown in the phosphatidylinositol 3 kinase insulin signal transduction pathway, where mTOR has an important role,29 and this has been thought to limit the effectiveness of sirolimus in people with diabetes mellitus. Paclitaxel, which affects cell replication by stabilising microtubules, does not seem to be influenced by insulin resistance and was therefore hypothesised to be superior to sirolimus in people with diabetes. The present study does not support these speculations: although paclitaxel eluting stents tended to reduce the risk of target lesion revascularisation more strongly in people with diabetes than in people without diabetes, sirolimus eluting stents were superior to paclitaxel eluting stents in reducing the risk of revascularisation in people both with and without diabetes.
Rapid technological developments led to novel, second generation drug eluting stents using different antiproliferative substances, absorbable polymers used as drug carriers, and fully bioabsorbable stent systems. Although the short term results for effectiveness of these new generation devices are encouraging,30 31 32 their long term safety profile in people with and without diabetes is still ill defined. An expansion of the present network meta-analysis will be required as soon as longer term follow-up data become available for these novel stent systems.
Conclusion
In trials with a duration of dual antiplatelet therapy of six months or longer drug eluting stents were safe and effective in people with and without diabetes. It seems prudent to adhere to a minimal duration of dual antiplatelet therapy of six months in patients undergoing implantation of a drug eluting coronary stent. The potential benefits of a longer duration of therapy need to be balanced against potential risks, such as clinically relevant bleeding. The optimal duration can only be determined in adequately powered large scale randomised controlled trials.
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Cite this as: BMJ 2008;337:a1331
Contributors: CSt and SA contributed equally to the manuscript. PJ and CS conceived the study. PJ, CSt, SWa, SA, and SWi were responsible for the conception and design of the study. SWa, CSt, SA, and PJ did the analysis and interpreted the analysis in collaboration with SWi. CSt, SA, AK, MCM, AS, MEP, GWS, MBL, JSdL, JJG, SJP, MS, MJS, HK, CSp, MM, PV, MTD, PC, ASP, AJN, PD, BM, SWi, and PJ were responsible for the acquisition of data. PJ, CSt, SA, and SWi wrote the first draft of the manuscript. All authors critically revised the manuscript for important intellectual content and approved the final version of the manuscript. CSt and PJ obtained public funding. PJ, CSt, PD, BM, and SWi provided administrative, technical, and logistic support.
Funding: Swiss National Science Foundation (grant Nos 3233B0-115212, 3233-066377, and 3200-066378) to CSt and PJ. The implementation and validation of the statistical models used for this study were funded by the Swiss National Science Foundations national research programme 53 (grant No 405340–104762) to PJ. CSt and PJ are PROSPER (program for social medicine, preventive and epidemiological research) fellows funded by the Swiss National Science Foundation. The funder had no role in study design, data collection, data analysis, data interpretation, or writing of the report.
Competing interests: CSt and PJ report receiving unrestricted grants from the Swiss National Science Foundation. AK receives lecture fees from Bristol-Myers Squibb, Cordis, GlaxoSmithKline, Lilly, Medtronic, Novartis, and Sanofi-Aventis. MCM receives lecture fees from Cordis, Boston Scientific, and Abbot, which go to a research organisation (RCF, Massy, France). AS receives unrestricted grant support for the Department of Cardiology he chairs from Amersham/General Electric, Bayerische Forschungsstiftung, Bristol-Myers Squibb, Cordis, Cryocath, Guidant, Medtronic, Nycomed, and Schering. MEP receives lecture fees from Medtronic. GWS receives consulting fees from Boston Scientific, Abbott, Guidant, Xtent, and BMS Imaging, lecture fees from Boston Scientific, Abbott, and Medtronic, has equity interests in Devax and Xtent, and is a member of the board of directors of Devax. MBL receives consulting fees from Cordis, Medtronic, Boston Scientific, and OrbusNeich and has equity interests in Conor, Medinol, and OrbusNeich. JJG is on the advisory board of Boston Scientific and receives research grant support from Cordis. SJP receives research grant support from Cordis. HK receives unrestricted grant support from Cordis. CSp receives consulting and lecture fees from Cordis, Boston Scientific, Abbot, Lilly, and Pfizer. MTD receives lecture fees from Boston Scientific. BM receives research grant support from various stent companies, including Cordis and Boston Scientific, and is in the speaker bureau for various stent companies, including Cordis and Boston Scientific. SW receives lecture and consulting fees from Abbot, Biotronic, Biosensors, Boston Scientific, Cordis, and Medtronic. GWS and MBL are directors of the Cardiovascular Research Foundation, a public charity affiliated with Columbia University Medical Center, from which they receive no compensation; the Cardiovascular Research Foundation receives research or educational funding from Boston Scientific, Cordis, Sanofi-Aventis, and Bristol-Myers Squibb.
Ethical approval: Not required.
Provenance and peer review: Not commissioned; externally peer reviewed.
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