Literature DB >> 26719324

Has the difference in mortality between percutaneous coronary intervention and coronary artery bypass grafting in people with heart disease and diabetes changed over the years? A systematic review and meta-regression.

Peter Herbison1, Cheuk-Kit Wong2.   

Abstract

OBJECTIVES: To examine the difference in outcome between percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG), to see if it has changed over the years in diabetics deemed eligible for both treatments; and to contrast the long-term mortality findings with those in non-diabetics.
DESIGN: Meta-analyses using data from randomised controlled trials found by searches on MEDLINE, EMBASE and the Cochrane Controlled Trials Register, from their inception until March 2015.
SETTING: Studies had to be randomised controlled trials comparing PCI with CABG. PARTICIPANTS: Those taking part in the studies had to have multivessel cardiac or left main artery cardiac disease and be deemed eligible for both treatments.
INTERVENTIONS: PCI or CABG. PRIMARY AND SECONDARY OUTCOMES: The primary outcome was all cause mortality. Secondary outcomes were a composite of mortality, stroke and myocardial infarction; cardiovascular death; and MACCE (Major Adverse Cardiac or Cerebrovascular Event). The longest follow-up was used in the analysis.
RESULTS: Among 14 studies (4868 diabetics) reported over three decades, meta-regression shows no relationship between the year of publication and the difference in long term all cause mortality between PCI and CABG. CABG has maintained an approximately 30% mortality advantage compared to PCI. The other outcomes used showed the same lack of change over the years. These findings held true among insulin-requiring and non-insulin-requiring diabetics. However, among non-diabetics included in the 14 studies, there was no difference in mortality outcome between PCI and CABG.
CONCLUSIONS: The difference in outcome between PCI and CABG in diabetics has not narrowed from the beginning-with balloon angioplasty to current PCI-with the second generation of drug eluting stents. In contrast to the non-diabetics, there is a persistent 30% benefit in all cause mortality favouring CABG in diabetics, and this should be a major factor in treatment recommendation. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Entities:  

Keywords:  Multi-vessel disease; Systematic review; meta-regression

Mesh:

Year:  2015        PMID: 26719324      PMCID: PMC4710812          DOI: 10.1136/bmjopen-2015-010055

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


All the randomised trials that include people with diabetes and compare percutaneous coronary intervention with coronary artery bypass grafting are included. The studies are assessed for risk of bias. Results are compared between people with and without diabetes. Over time, there may be people with more complex disease who are deemed eligible for the two interventions.

Introduction

Over the past 30 years, percutaneous coronary intervention (PCI) has changed from employing plain balloon angioplasty, to the use of bare metal stents (BMSs), and recently through two generations of drug eluting stents (DESs). Each of these methods has proved better than the previous versions, mainly in preventing restenosis and further intervention rather than mortality.1 In contrast, coronary artery bypass grafting (CABG) has changed less over these years, although there may be a higher proportion of arterial grafts and off-pump surgery. When PCI and CABG are compared in randomised controlled trials (RCTs) in people with multivessel disease and stable angina or acute coronary syndromes, there is a difference in findings. In an individual patient data meta-analysis, Hlatky et al2 found a non-significant difference in all cause mortality (HR 0.91, 95% CI 0.82 to 1.02), but there was little difference in all cause mortality in those without diabetes (HR 0.98, 95% 0.86 to 1.12), whereas those with diabetes had a larger difference (HR 0.70, 95% CI 0.56 to 0.87). This study was too early to include PCI with DESs. In a more recent meta-analysis of summary data, Sipahi et al3 did not include studies using balloon angioplasty and found reduced mortality in patients who received CABG (risk ratio (RR) 0.73, 95% CI 0.62 to 0.86). This study found no evidence that the reduced mortality differed between those with and those without diabetes. There have been two systematic reviews concentrating on people with diabetes. Verma et al4 found that all cause mortality was lower in patients randomised to CABG compared to those randomised to PCI (RR 0.67, 95% CI 0.52 to 0.86). This study also looked at patients without diabetes and found no evidence of a difference in mortality between CABG and PCI (RR 1.03, 95% CI 0.77 to 1.37). The second review was a network meta-analysis.5 While the findings were similar to what had gone before, there was a suggestion, through indirect comparisons, that the cobalt-chromium everolimus-eluting stents may have slightly closed the gap between PCI and CABG (RR 1.11, 95% CI 0.67 to 1.84). In this study, we look at how the gap in mortality between PCI and CABG in diabetics has changed over the past 30 years since the advent of PCI with balloon angioplasty to current PCI with second generation DESs. In particular, we contrast the mortality results with those found in the non-diabetics captured in our review. We also explore any differences between diabetics treated with insulin and those treated without insulin. We do this using meta-regression6 and cumulative meta-analysis.7 8

Methods

Search strategy

Databases were searched using words that might identify CABG and PCI. Articles had to mention diabetes, and RCTs were selected using the highly sensitive Cochrane Collaboration strategy. Databases MEDLINE, EMBASE and the Cochrane Central register of controlled trials were searched using Ovid. An example search for MEDLINE is: PCI.mp. Angioplasty/or angioplasty, balloon, coronary/or angioplasty.mp. CABG.mp. or coronary artery bypass/ Diabetes mellitus/or diabetes.mp. 1 or 2 3 and 4 and 5. The WHO portal for randomised trials was searched to see if there were any ongoing studies. There were no date or language restrictions. The search was carried out in December 2014 and updated in March 2015. The title and abstracts of the selected studies were read for potentially useful studies. For these studies the whole article was downloaded and read. Both authors agreed on which studies should be included. Systematic reviews and meta-analyses were read to look for other potential studies, as were the references of included studies. Studies were included if they were on people with stable angina or acute coronary syndromes. They had to have either multivessel or left main coronary artery disease and be restricted to people with treated diabetes or report separately on people with diabetes.

Outcomes

Data were extracted on four outcomes: all cause mortality, cardiovascular mortality, MACCE (Major Adverse Cardiac or Cerebrovascular Event) and composite of death, stroke and myocardial infarction. If available, these data were collected at 1, 2–4, 5 years and longer than 5 years. The outcome used in the analysis was the longest follow-up in the study. Outcomes were extracted by one author and checked by the other. Both authors agreed on the data before any analyses were carried out. Outcomes were extracted for mortality in people with treated diabetes and people without diabetes, and within the diabetic group, people treated with and without insulin.

Risk of bias

The risk of bias was assessed using the Cochrane risk of bias tool.9 This scores each study as either low, high or unclear risk of bias on six domains: sequence generation; allocation concealment; blinding; withdrawals; selective outcome reporting; and other risk of bias.

Analysis

All analysis was conducted using Stata V.13. All outcomes were used in a separate random effects meta-regression analysis.10 The RR was used as the measure of difference in outcome between those assigned to PCI and those assigned to CABG. Meta-regression is an extension to standard meta-analysis that investigates the extent to which statistical heterogeneity between the results of multiple studies can be related to one or more characteristics of the studies.6 Both year of publication and year of starting recruitment were used as covariates. Year seemed a good proxy measure with which to capture changes in technology and changes in the normal standard of care. The difference between insulin treated and non-insulin treated diabetics was tested with a meta-regression using insulin treatment status as a covariate. The data were also subjected to a cumulative meta-analysis. In this, the studies are entered one by one in order of year of publication with a meta-analysis carried out each time a new study is added.7 8 Small sample bias (including publication bias) was assessed by use of a funnel plot. The change in death rates with time in both groups was modelled by Poisson regression of the number of deaths, using the size of the group as an offset.

Results

The first phase of the search turned up 896 articles, of which 106 were selected for review of the full articles after reading the titles and abstracts. Of these, 37 articles were selected for inclusion, and data were abstracted from 29. These reported on 14 studies, RITA-I,11 EAST,12 CABRI,13 BARI,14–16 ARTS-I,17–20 AWESOME,21 ERACI-II,22 SOS,23 MASS-II,24 25 CARDia,26 27 SYNTAX,28–31 PRECOMBAT,32 33 FREEDOM34–36 and VA-CARDS.37 A very recent article with the results of the BEST study is also included.38 Some details of these studies are presented in table 1. The only outcome reported for participants with diabetes in the PRECOMBAT study was MACCE.32 These 14 studies included 4868 people with diabetes, 2449 of whom were randomised to PCI and 2419 to CABG.
Table 1

Characteristics of included studies

StudyYear of first publicationParticipantsTreatmentsOutcomes*Notes
RITA-I1993Coronary artery diseaseEligible for either treatmentNo previous revascularisationBalloon angioplasty (510, 29 with diabetes)CABG (501, 33 with diabetes)Primary: Composite†Secondary: all cause death1, 5 yearsOnly 55% had multivessel diseaseComposite outcome did not include strokeMulticentre
EAST1994Multi-vessel diseaseNo left main diseaseEligible for either treatmentBalloon angioplasty (198, 49 with diabetes)CABG (194, 41 with diabetes)Primary: all cause death3, 8 yearsSingle centre
CABRI1995Multivessel diseaseNo left main diseaseEligible for either treatmentNo previous revascularisationBalloon angioplasty plus BMS (541, 64 with diabetes)CABG (513, 60 with diabetes)Primary: all cause death4 yearsMulticentre
BARI1996Multivessel diseaseEligible for either treatmentBalloon angioplasty (915, 174 with diabetes, 76 on insulin)CABG (914, 183 with diabetes, 82 on insulin)Primary: all cause deathSecondary: composite, cardiovascular death1, 3, 5, 10 yearsMulticentre
AWESOME2001Multivessel diseaseEligible for either treatmentHigh-risk patientsBalloon angioplasty/BMS (222, 65 with diabetes)CABG (232, 79 with diabetes)Primary: all cause death1, 3 yearsUse of stents changed from 26% to 88% during the 5 years of recruitmentMulticentre
ERACI-II2001Multivessel diseaseEligible for either treatmentHigh risk patientsBMS (225, 39 with diabetes)CABG (225, 39 with diabetes)Primary: MACCESecondary: all cause death1, 5 yearsOnly reported mortality for people with diabetesMulticentre
ARTS-I2001Multivessel diseaseEligible for either treatmentNo previous revascularisationBMS (601, 112 with diabetes, 23 on insulin)CABG (604, 96 with diabetes, 16 on insulin)Primary: MACCESecondary: all cause death, composite1, 3, 5 yearsMulticentre
SOS2002Multivessel diseaseEligible for either treatmentNo previous revascularisationBMS (488, 68 with diabetes)CABG (500, 74 with diabetes)Primary: RevascularisationSecondary: all cause death, composite1, 6 yearsMulticentre
MASS-II2004Stable multivessel diseaseEligible for either treatmentBMS (205, 56 with diabetes)CABG (203, 59 with diabetes)Primary: MACCESecondary: all cause death, cardiovascular death1, 5 yearsDiabetes either treated or high blood glucose on 2 occasionsSingle centre.
CARDia2010Multivessel disease or complex single vessel diseaseEligible for either treatmentTreated diabetesPCI (256, all with diabetes, 92 on insulin)CABG (254, all with diabetes, 97 on insulin)Primary: compositeSecondary: all cause death, MACCE1, 5 yearsStarted with BMS but DES used when they became availableMulticentre
SYNTAX2010Multivessel disease or left main artery diseaseEligible for either treatmentDES (903, 231 with diabetes, 88 on insulin)CABG (897, 221 with diabetes, 87 on insulin)Primary: MACCESecondary: All cause death, cardiovascular death, composite3, 5 yearsRandomisation stratified by diabetes statusMulticentre
PRECOMBAT2011Left main artery diseaseDES (300, 102 with diabetes, 10 on insulin)CABG (300, 90 with diabetes, 9 on insulin)Primary: MACCE2, 5 yearsIndividual components of MACCE not reported for the subgroup with diabetesMulticentre
FREEDOM2012Multivessel diseaseEligible for either treatmentTreated diabetesDES (953, all with diabetes, 325 on insulin)CABG (947, all with diabetes, 277 on insulin)Primary: compositeSecondary: all cause death, cardiovascular death, MACCE.1, 2, 3, 5 yearsMulticentre
VA-CARDS2013Multi-vessel disease or left main artery diseaseEligible for either treatmentTreated diabetesDES (104, all with diabetes)CABG (103, all with diabetes.Primary: compositeSecondary: all cause death, cardiovascular death1, 2 yearsComposite outcome did not include strokeMulticentre
BEST2015Multi-vessel diseaseNo left main diseaseEligible for either treatmentDES (438, 177 with diabetes)CABG (447, 186 with diabetes)Primary: compositeSecondary: all cause deathUsed second generation (everolimus-eluting) stents

*Many secondary outcomes are not listed.

†Composite of death, stroke or myocardial infarction unless otherwise specified.

BMS, bare metal stent; CABG, coronary artery bypass graft; DES, drug eluting stent; MACCE, Major Adverse Cardiac or Cerebrovascular Event.

Characteristics of included studies *Many secondary outcomes are not listed. †Composite of death, stroke or myocardial infarction unless otherwise specified. BMS, bare metal stent; CABG, coronary artery bypass graft; DES, drug eluting stent; MACCE, Major Adverse Cardiac or Cerebrovascular Event. All studies were at low to moderate risk of bias, with none of the domains being scored as high risk of bias for any study (table 2). The reporting of sequence generation and allocation concealment was poor in 6 and 7 of the 14 studies, respectively, and these were scored as unknown risk of bias. As the primary outcome was all cause mortality, this may not be a serious risk of bias. The risk of bias from blinding and withdrawals was low. In studies where people with diabetes were only a subgroup, sometimes only mortality was reported, but this is unlikely to be selectively based on statistical significance. Two studies were single centre (EAST, MASS-II) and those studies have been reported to give larger differences than multicentre trials.39
Table 2

Risk of bias for the included studies

Bias domain
StudySequence generationAllocation concealmentBlindingWithdrawalsSelective outcome reportingOther
RITA-ILowLowLowLowLowLow
EASTUnclearUnclearLowLowLowUnclear
CABRIUnclearLowLowLowLowLow
BARILowLowLowLowLowLow
AWESOMELowUnclearLowLowLowLow
ERACI-IILowUnclearLowLowLowLow
ARTS-IUnclearUnclearLowLowLowLow
SOSUnclearUnclearLowLowLowLow
MASS-IIUnclearUnclearLowLowLowUnclear
CARDiaLowLowLowLowLowLow
SYNTAXLowLowLowLowLowLow
PRECOMBATLowLowLowLowLowLow
FREEDOMLowLowLowLowLowLow
VA-CARDSUnclearUnclearLowLowLowLow
BESTLowLowLowLowLowLow
Risk of bias for the included studies The meta-regression shows no relationship between the year of publication and the difference in all cause mortality between PCI and CABG (exponentiated coefficient 1.012, 95% CI 0.974 to 1.051). This means the RR for the difference in all cause mortality has increased by 1.2% per year over the time of the study. Figure 1 displays the results graphically.
Figure 1

Relationship of difference in all cause mortality between PCI and CABG with year of first publication. CABG, coronary artery bypass graft; PCI, percutaneous coronary intervention; RR, risk ratio.

Relationship of difference in all cause mortality between PCI and CABG with year of first publication. CABG, coronary artery bypass graft; PCI, percutaneous coronary intervention; RR, risk ratio. As RITA-I included many people with single vessel disease, the analysis was repeated without this study and the coefficient was closer to 1 (exponentiated coefficient 1.005, 95% CI 0.972 to 1.039). Using year of first recruitment resulted in very similar results (exponentiated coefficient 1.012, 95% CI 0.975 to 1.051). Figure 2 shows the results of the cumulative meta-analysis in diabetics (figure 2A) and non-diabetics (figure 2B). There is no evidence of a change in the result with the different stents. The difference in diabetics only becomes statistically significant in 2012, after the publication of the FREEDOM trial, while in non-diabetics, the difference is always centred on 1 (RR 1.04, 95% CI 0.92 to 1.17).
Figure 2

Cumulative meta-analysis by year of publication of the difference in all cause mortality between PCI and CABG in people with (A) and without (B) diabetes. CABG, coronary artery bypass graft; PCI, percutaneous coronary intervention; RR, risk ratio.

Cumulative meta-analysis by year of publication of the difference in all cause mortality between PCI and CABG in people with (A) and without (B) diabetes. CABG, coronary artery bypass graft; PCI, percutaneous coronary intervention; RR, risk ratio. These results mean that the best evidence for a difference in mortality between PCI and CABG in diabetics will come from a simple random effects meta-analysis of 13 of these studies (PRECOMBAT did not report all cause mortality for diabetics). This results in a RR of 1.30, 95% CI 1.07 to 1.58, in favour of CABG. The forest plot for this analysis is figure 3. There was no excess heterogeneity in this meta-analysis (I2=39.7%).
Figure 3

Forest plot of the difference in all cause mortality between PCI and CABG in people with diabetes. CABG, coronary artery bypass graft; PCI, percutaneous coronary intervention; RR, risk ratio.

Forest plot of the difference in all cause mortality between PCI and CABG in people with diabetes. CABG, coronary artery bypass graft; PCI, percutaneous coronary intervention; RR, risk ratio. There is no evidence of small sample biases, such as publication bias, that would show up as asymmetry in the funnel plot in this group of studies (figure 4).
Figure 4

Funnel plot for the meta-analysis of all cause mortality. RR, risk ratio.

Funnel plot for the meta-analysis of all cause mortality. RR, risk ratio. The rate of death for both PCI and CABG changed over the period in which the studies were carried out. The rate reduced by 6% per year (incidence rate ratio (IRR)=0.94 95% CI 0.93 to 0.95) in the PCI groups and 7% per year (IRR 0.93 95% CI 0.92 to 0.94) in the CABG groups. When the meta-regression analysis was repeated for the other outcomes, there was again no evidence of a change over time. The exponentiated coefficients were 0.966, 95% CI 0.907 to 1.028 for cardiovascular death, 1.007, 95% CI 0.985 to 1.029 for the composite end point and 0.964, 95% CI 0.903 to 1.028 for MACCE. Insulin use status and outcome data were available for 3427 patients from five studies. There was no evidence that there was a difference in outcome in those people with diabetes who were treated with and without insulin. The exponentiated coefficients in the meta-regressions were 0.85, 95% CI 0.43 to 1.68 for all cause mortality, 0.98, 95% CI 0.53 to 1.80 for MACCE, 1.31, 95% CI 0.58 to 2.95 for the composite outcome and 1.09, 95% CI 0.43 to 2.77 for cardiovascular death.

Discussion

This study shows that the (relative) difference between outcomes, especially all cause mortality, between PCI and CABG has not changed over the past 30 years in diabetics with multivessel or left main vessel disease with the slope of the meta-regression line being 1.012, 95% CI 0.974 to 1.051. This is despite the improvements in PCI and the changes in usual care. Given this lack of change, it would appear to be valid to combine all studies into a meta-analysis. This gives a best estimate of the difference in all cause mortality between PCI and CABG in people with diabetes as a 30% increase, 95% CI 7% to 58%. In the subset of studies where data are available on the use of insulin, the status of insulin requirement does not alter this finding. In contrast, the difference in non-diabetics is always small and non-statistically significant. Including all the evidence gives a final RR of 1.04 (95% CI 0.92 to 1.17). While there have been well recognised advances with PCI equipment and techniques, there is less ‘publicity’ on advances with CABG. In those randomised to CABG, there has been a decrease in death rate over the years. This decrease was similar to that seen in the PCI arm. Many factors might explain the improved outcomes after CABG, such as the increased use of arterial grafts, although even the earliest included trial used arterial grafts on 74% of people randomised to surgery.11 On the other hand, this decrease may not be because of the increased use of off-pump operations.40 As these randomised studies spanned over three decades, they had slightly different inclusion and exclusion criteria, with, for example, some studies including and some excluding patients with left main vessel disease. But in each trial, the characteristics of patients undergoing CABG or PCI would be similar. The same applies to the medicines used on discharge, which will also have changed over the years and have an impact on outcomes. Angiographic characteristics have a very strong influence on the outcome after PCI and to a lesser extent after CABG. Advances in PCI technology (from balloon angioplasties to stenting and from bare-metal stents to DESs) over the decades have rendered a lot of complex coronary lesions amenable to both therapies, possibly also rerouting many simpler lesions to PCI. Unfortunately, these characteristics have not been sufficiently quantified until recently, with the angiographic SYNTAX score. Nevertheless, in controlled clinical trials over these decades, where randomisation of patients involved clinical judgement of equipoise between PCI and CABG, there has consistently been a survival advantage in diabetic patients from CABG with an approximate 30% increased long-term survival, as shown in the current review. Despite the fact that only a proportion of the studies reported on the status of insulin requirement in the diabetics, the finding stands for insulin-requiring and non-insulin-requiring diabetics. For this analysis, we updated our prior review41 of insulin versus non-insulin treatment by including data from the FREEDOM trial.36 The advantage of having more coronary conduits with CABG may be especially relevant in diabetics because of their higher risks of having coronary events despite receiving medical therapies commonly used at the time of the study. Compared to non-diabetics, diabetics have higher risks of PCI/stent-related complications such as subacute thrombosis and restenosis, as well as higher rates of restenosis even with DESs.42 In a recent network meta-analysis comparing PCI with CABG, excess repeat revascularisation with PCI was found that progressively declined from balloon angioplasty (341% increase) to BMSs (218% increase) to paclitaxel-eluting stents (81% increase) and to sirolimus-eluting stents (47% increase).5 However, for PCI with the second generation cobalt–chromium everolimus-eluting stent, where only indirect comparison was available, the excess repeat revascularisation was not statistically significant (RR=1.31, 95% CI 0.74 to 2.29) although the point estimate still favoured CABG. In the BEST trial of 980 patients including 263 diabetics (which has been included in the current analysis), using second generation everolimus eluting stents,38 CABG still outperformed PCI, particularly in diabetics (p value for interaction 0.06 for mortality outcome). In those studies that were not exclusively performed in diabetics, the randomisation was only stratified by diabetes status for the SYNTAX trial, meaning that it was possible that there was some imbalance at baseline in the diabetic groups. An individual patient level data meta-analysis may be able to adjust for differences in the characteristics of the participants. The CIs were quite wide around most estimates, so it is possible that some of the differences, while not statistically significant, were clinically important. It is most likely that the evolution of PCI over the decades has already impacted physicians’ judgement as to whether the diabetic patient is equally suited for PCI and CABG, and the equipoise of the two therapies has been shifting towards angiographically more complex lesions over the years. On current evidence, CABG must be the preferred option over PCI in patients with diabetes and multivessel coronary artery disease when otherwise judged to be in clinical equipoise. CABG reduces mortality and reintervention compared to PCI, unlike the situation in non-diabetics. Whether the newer generation of DES may bridge the gap in the future remains a hypothesis to be proven.
  40 in total

1.  Five-year follow-up of the Argentine randomized trial of coronary angioplasty with stenting versus coronary bypass surgery in patients with multiple vessel disease (ERACI II).

Authors:  Alfredo E Rodriguez; Julio Baldi; Carlos Fernández Pereira; Jose Navia; Máximo Rodriguez Alemparte; Alejandro Delacasa; Federico Vigo; Daniel Vogel; William O'Neill; Igor F Palacios
Journal:  J Am Coll Cardiol       Date:  2005-08-16       Impact factor: 24.094

2.  Five-year outcomes after coronary stenting versus bypass surgery for the treatment of multivessel disease: the final analysis of the Arterial Revascularization Therapies Study (ARTS) randomized trial.

Authors:  Patrick W Serruys; Andrew T L Ong; Lex A van Herwerden; J Eduardo Sousa; Adib Jatene; Johannes J R M Bonnier; Jacques P M A Schönberger; Nigel Buller; Robert Bonser; Clemens Disco; Bianca Backx; Paul G Hugenholtz; Brian G Firth; Felix Unger
Journal:  J Am Coll Cardiol       Date:  2005-08-16       Impact factor: 24.094

3.  Randomized Trial of Stents Versus Bypass Surgery for Left Main Coronary Artery Disease: 5-Year Outcomes of the PRECOMBAT Study.

Authors:  Jung-Min Ahn; Jae-Hyung Roh; Young-Hak Kim; Duk-Woo Park; Sung-Cheol Yun; Pil Hyung Lee; Mineok Chang; Hyun Woo Park; Seung-Whan Lee; Cheol Whan Lee; Seong-Wook Park; Suk Jung Choo; CheolHyun Chung; JaeWon Lee; Do-Sun Lim; Seung-Woon Rha; Sang-Gon Lee; Hyeon-Cheol Gwon; Hyo-Soo Kim; In-Ho Chae; Yangsoo Jang; Myung-Ho Jeong; Seung-Jea Tahk; Ki Bae Seung; Seung-Jung Park
Journal:  J Am Coll Cardiol       Date:  2015-03-15       Impact factor: 24.094

4.  Randomized comparison of percutaneous coronary intervention with coronary artery bypass grafting in diabetic patients. 1-year results of the CARDia (Coronary Artery Revascularization in Diabetes) trial.

Authors:  Akhil Kapur; Roger J Hall; Iqbal S Malik; Ayesha C Qureshi; Jeremy Butts; Mark de Belder; Andreas Baumbach; Gianni Angelini; Adam de Belder; Keith G Oldroyd; Marcus Flather; Michael Roughton; Petros Nihoyannopoulos; Jens Peder Bagger; Kenneth Morgan; Kevin J Beatt
Journal:  J Am Coll Cardiol       Date:  2010-02-02       Impact factor: 24.094

5.  The final 10-year follow-up results from the BARI randomized trial.

Authors: 
Journal:  J Am Coll Cardiol       Date:  2007-04-02       Impact factor: 24.094

6.  Randomized trial of stents versus bypass surgery for left main coronary artery disease.

Authors:  Seung-Jung Park; Young-Hak Kim; Duk-Woo Park; Sung-Cheol Yun; Jung-Min Ahn; Hae Geun Song; Jong-Young Lee; Won-Jang Kim; Soo-Jin Kang; Seung-Whan Lee; Cheol Whan Lee; Seong-Wook Park; Cheol-Hyun Chung; Jae-Won Lee; Do-Sun Lim; Seung-Woon Rha; Sang-Gon Lee; Hyeon-Cheol Gwon; Hyo-Soo Kim; In-Ho Chae; Yangsoo Jang; Myung-Ho Jeong; Seung-Jea Tahk; Ki Bae Seung
Journal:  N Engl J Med       Date:  2011-04-04       Impact factor: 91.245

7.  Percutaneous coronary intervention versus coronary bypass surgery in United States veterans with diabetes.

Authors:  Masoor Kamalesh; Thomas G Sharp; X Charlene Tang; Kendrick Shunk; Herbert B Ward; James Walsh; Spencer King; Cindy Colling; Thomas Moritz; Kevin Stroupe; Domenic Reda
Journal:  J Am Coll Cardiol       Date:  2013-02-26       Impact factor: 24.094

8.  Impact of diabetes on 10-year outcomes of patients with multivessel coronary artery disease in the Medicine, Angioplasty, or Surgery Study II (MASS II) trial.

Authors:  Eduardo Gomes Lima; Whady Hueb; Rosa Maria Rahmi Garcia; Alexandre Costa Pereira; Paulo Rogério Soares; Desiderio Favarato; Cibele Larrosa Garzillo; Ricardo D'Oliveira Vieira; Paulo Cury Rezende; Myrthes Takiuti; Priscyla Girardi; Alexandre Ciappina Hueb; José A F Ramires; Roberto Kalil Filho
Journal:  Am Heart J       Date:  2013-06-15       Impact factor: 4.749

9.  Five-year outcomes in patients with left main disease treated with either percutaneous coronary intervention or coronary artery bypass grafting in the synergy between percutaneous coronary intervention with taxus and cardiac surgery trial.

Authors:  Marie-Claude Morice; Patrick W Serruys; A Pieter Kappetein; Ted E Feldman; Elisabeth Ståhle; Antonio Colombo; Michael J Mack; David R Holmes; James W Choi; Witold Ruzyllo; Grzegorz Religa; Jian Huang; Kristine Roy; Keith D Dawkins; Friedrich Mohr
Journal:  Circulation       Date:  2014-04-03       Impact factor: 29.690

Review 10.  Is the advantage of coronary bypass graft surgery over percutaneous coronary intervention in diabetic patients with severe multivessel disease influenced by the status of insulin requirement?

Authors:  Beom Jun Lee; Peter Herbison; Cheuk-Kit Wong
Journal:  J Geriatr Cardiol       Date:  2014-03       Impact factor: 3.327

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Journal:  Open Heart       Date:  2020-11

2.  The Effect of Glycemic Control on Cardiac Outcomes in Saudi Diabetic Patients who Underwent Coronary Angiogram.

Authors:  Mohammed Ali Balghith; Ahmed Ammar Almutairi; Ibrahim Abdulelah Almohini; Abdullah Rasheed Albadah; Ahmed Ayed Almutairi; Abdulrahman Abdulaziz Alhamdan; Hamza Shakir Alshareef; Meshal Abdullah Alkheraiji
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