Methods: We searched the Cochrane Library, PubMed, Thieme-Connect and Sage Pub databases for studies which were published from January 2003 to October 2023. Observational studies with propensity-score matched analysis comparing total arterial revascularization versus non-total arterial revascularization coronary artery bypass grafting in diabetic patients were included. The risk of bias was analyzed. Fixed-effects model and random-effects meta-analysis with leave-one-out method as sensitivity analysis were performed.
Results: Six observational studies which were published involving a total of 15,336 patients were included in the meta-analysis. There were significant differences in the long-term survival rates and early myocardial infarction. Total arterial revascularization had higher survival rate (incidence rate ratio [IRR]=0.85, 95% confidence interval [CI]: 0.74-0.98, p=0.02) and lower myocardial infarction event than non-total arterial revascularization (odds ratio [OR]=0.45, 95% CI: 0.22-0.92, p=0.03).
Conclusion: Total arterial revascularization is significantly associated with higher survival rate and lower early myocardial infarction than non-total arterial revascularization in diabetic patients undergoing coronary artery bypass grafting.
Eligibility criteria
Inclusion criteria were as follows: (i) Study design:
Observational studies with propensity-score matched
analysis; (ii) Participants: Adult diabetic patients
(≥18 years old) undergoing emergency, urgency
or scheduled, isolated or non-isolated, on-pump
or off-pump, whether first-time or redo CABG;
(iii) Intervention: CABG using TAR; (iv) Comparison:
CABG using non-TAR; and (v) Outcomes: report
survival rate. The inclusion of only observational
studies with propensity score-matched analysis
and exclusion of randomized-controlled trials is to
minimize confounding and selection bias. Review articles, unpublished studies, abstracts, case reports,
editorials, study protocols, commentaries, letters,
studies not written in English language, as well as
studies which did not fulfill the inclusion criteria,
were excluded from the analysis.
Search strategy
We searched PubMed, Cochrane, Thieme-
Connect, and Sage Pub from January 2003 to October
2023 for studies comparing TAR and Non-TAR in
diabetic patients undergoing CABG. We carried
out the search with the following terms: ("diabetes"
OR "diabetes mellitus") AND ("arterial graft" OR
"arterial conduit" OR "arterial revascularization")
AND ("coronary artery bypass" OR "coronary artery
bypass grafting" OR "CABG").
Study selection
After retrieving the initial results, duplicate papers
were removed. Titles and abstracts were reviewed
independently by three reviewers to determine
whether the retrieved studies met the inclusion
criteria. Studies were selected based on the inclusion
and exclusion criteria outlined above. The full paper
was obtained for studies which appeared to meet the
inclusion criteria or where a decision could not be
made from the title and/or abstract alone. The full
text was independently assessed for eligibility by two
reviewers. Discrepancies were resolved through an
initial discussion with a third reviewer. A PRISMA
flowchart was created to demonstrate the search
strategy (Figure 1).
Data extractions, quality assessment, and
variable definition
Data extraction was completed by three
independent reviewers using Microsoft Office, Excel
software (Microsoft Corp., NM, USA). A third
reviewer confirmed all the extracted data. The
following data were extracted from each study:
author, publication year, study type, country, study
period, number of patients, type of graft with its
harvesting technique and type of CABG used in
diabetic patients, outcome of interest reported, mean
follow-up, and patient baseline characteristics. This
meta-analysis identified several potential sources
of heterogeneity, including variations in patient
characteristics, outcome definitions, and the type
of CABG procedure used. To address heterogeneity,
we applied both fixed-effect and random-effects
models depending on the level of heterogeneity
indicated by the I² statistic. Additionally, to assess
the robustness of our findings, we performed sensitivity analyses to examine the impact of
individual studies on the overall results. The
Cochrane risk of bias tools will be utilized in quality
assessment. The Cochrane risk of bias tool, Risk of
Bias in Non-Randomized Studies-of Interventions
(ROBINS-1), was used to investigate observational
studies. Total arterial revascularization is defined
as surgical revascularization carried out exclusively
with arterial conduits. Non-TAR is defined as
surgical revascularization carried out with venous
and arterial conduits. The primary outcome of this
review is long-term (≥10 years after the surgery)
survival rate. The secondary outcomes are mortality
rate, cerebrovascular accident (CVA), myocardial
infarction (MI), and SWI including deep and
superficial SWI which occurred in the early-term
(the perioperative period, in-hospital and maximum
30 days after the surgery).
Statistical analysis
This meta-analysis was performed using
Review Manager software version 5.4 software
(The Cochrane Collaboration, Oxford, UK)
and R version 4.3.1 software (R Foundation for
Statistical Computing, Vienna, Austria). The pooled
effect size with odds ratio (OR) and 95% confidence
interval (CI) were calculated for secondary/
early-term endpoints (perioperative, in-hospital, and
30-day). The incidence rate ratio (IRR) and 95%
CI were calculated for long-term survival rate
(≥10 years). Forest plots were created to represent the main outcome and determine the effect size.
The I² test was performed to assess the statistical
heterogeneity. Heterogeneity was defined as low
if I² ranged from 0 to 25%, moderate if I² ranged
from 26 to 50%, or high if I² was greater than 50%.
A fixed-effects model was selected, if the I² value
was <50%, suggesting minimal variation between
studies. This approach assumed that the effect sizes
were homogeneous across studies. In cases with an
I² value >50%, a random-effects model was used.
This model accounts for variability between studies
and provides a more conservative estimate of the
overall effect, acknowledging that the true effect
size may vary across studies. Funnel plots were
also created to graphically represent publication
bias, which was assessed using the Trim & Fill
method. Sensitivity analysis was applied to assess
the influence of a single study on the overall effect of
TAR treatment on the main outcome by sequentially
removing one study according to outlier detection
and the leave-one-out method. A two-tailed p value
of <0.05 was considered statistically significant.
Table 1. Study characteristics
Primary outcome
Survival rate
Long-term survival rate was reported in six
studies. The heterogeneity was observed to be
high among the studies (I2=65%). Due to the
high heterogeneity, a random-effects model was
used for analysis. Sensitivity analysis using the
leave-one-out method was conducted. The result
indicated that TAR had a higher survival rate
than non-TAR, indicating a statistically significant
difference (IRR=0.85, 95% CI: 0.74-0.98, p=0.02)
(Figure 2).
Secondary outcomes
Cerebrovascular accident
Only four studies reported CVA. The heterogeneity
was observed to be high among the studies (I²=61%). Therefore, a random-effects model was used for
analysis. Sensitivity analysis using the leave-one-out
method was conducted. The result showed no
significant difference in early occurrence of CVA
between TAR and non-TAR groups (OR=1.14, 95%
CI: 0.46-2.80, p=0.78) (Figure 3).
Mortality rate
Early mortality rate was reported in four studies.
The heterogeneity was observed to be low among
the studies (I²=0%). Due to the low heterogeneity,
a fixed-effects model was used for analysis.
Sensitivity analysis using the leave-one-out method
was conducted. The result showed no significant
difference in early mortality rate between TAR
and non-TAR groups (OR=0.90, 95% CI: 0.59-1.37,
p=0.62) (Figure 4).
Myocardial infarction
Among all included studies, four reported MI
in the early-term. The heterogeneity was observed
to be low among the studies (I²=0%). Therefore,
a fixed-effects model was used for analysis.
Sensitivity analysis using the leave-one-out method
was conducted. The result showed that TAR had
lower MI events than non-TAR group, indicating a
statistically significant difference (OR=0.45, 95%
CI: 0.22-0.92, p=0.03) (Figure 5).
Sternal wound infection
Of all included studies, four reported about SWI.
The heterogeneity was observed to be low among
the studies (I²=0%). Due to the low heterogeneity, a fixed-effects model was used for analysis.
Sensitivity analysis using the leave-one-out method
was conducted. The result showed no significant
difference in SWI between TAR and non-TAR groups (OR=0.83, 95% CI: 0.53-1.29, p=0.40)
(Figure 6).
Publication BIAS assessment
The funnel plot for all studies comparing TAR
and non-TAR across all outcomes is shown in
Supplementary Figure 1. The visual appearance of funnel plot indicates asymmetry, suggesting potential
publication bias. To assess publication bias more
rigorously, the Trim & Fill method was applied.
The results of this analysis indicated that additional
studies need to be filled to correct for potential
publication bias.
Considering the multi-center Future Revascularization Evaluation in Patients with Diabetes Mellitus: Optimal Management of Multivessel Disease (FREEDOM) trial results, CABG is suggested over percutaneous coronary intervention (PCI) as the preferred treatment for diabetic patients.[17] E xcept i n r are c ircumstances, general patients should receive at least one arterial graft, preferably the left internal mammary artery (LIMA) to left anterior descending artery (LAD), as LIMA has been shown to be superior to saphenous vein graft (SVG) in terms of freedom from angina, long-term patency and survival.[22-24] Studies have confirmed that using more than two artery conduits is associated with decreased mortality or improved long-term survival. It is the development tendency of CABG to preferably use arterial conduits to take the place of SVG and gradually achieve multi-arterial and even TAR.[25] O f n ote, T AR h as s hown t o b e feasible and achievable in most patients with threevessell CAD,[26] particularly in diabetics involving the LAD, and is favored over PCI to decrease mortality and reduce the need for repeat revascularizations (1A recommendation).[16]
This review provides that long-term survival rate of TAR is significantly higher compared to non-TAR in diabetic patients undergoing CABG. In previous study by Liao et al.,[9] TAR was associated with a higher rate of long-term overall survival in diabetic patients compared to conventional surgical revascularization with LIMA plus SVG. Conversely, a study by Urso et al.,[27] according to meta-regression analysis, suggested a greater long-term survival benefit of TAR in diabetic patients but without statistical significance. In a single-institution 20-year study by Momin et al.,[28] T AR u tilizing b ilateral internal mammary artery (BIMA) and RA was associated with a significantly superior long-term survival rate. Another multicenter cohort study by Ren et al.[29] demonstrated that patients undergoing TAR had a significantly lower risk of late death compared to patients undergoing multiple arterial grafting ( MAG) w ith S VG. A R ecent s tudy a lso by Ren et al.[44] demonstrated patient receiving exclusively arterial grafts experienced enhanced survival benefits compared to those receiving MAG with supplementary SVGs, except in patient with low LVEF (<30%), the difference was not statistically significant. According to the European Society of Cardiology and European Association for Cardio-Thoracic Surgery (ESC/EACTS) 2018 guidelines, the arterial revascularization trial trial reported that using BIMA could improve 10-year survival compared to SIMA in the general population, but survival outcomes specifically for diabetic patients have not been reported.[24]
Theoretically, better graft patency and beneficial metabolic effects on the recipient coronary arteries can lead to survival benefits, particularly in diabetic patients with advanced atherosclerosis and impaired endothelial function.[9] Arterial conduits, such as LIMA, BIMA and RA, exhibit superior patency compared to SVG, resulting in better long-term survival.[30] The progressive failure of SVGs is attributed to accelerated atherosclerosis, whereas arterial grafts do not experience the same progression, thereby enhancing long-term durability and protecting native vessels from atherosclerosis.[31] The protective effect of arterial grafts on disease progression in patients undergoing CABG may stem from the active endothelium of these grafts. These metabolically active grafts produce vasoactive substances and endothelial progenitor cells, which may help defend native vessels against atherosclerosis. Specifically, RA and LIMA grafting demonstrate a strong protective effect against the progression of native CAD, and the use of multiple arterial grafts may contribute to improved survival in patients undergoing revascularization.[30]
Perioperative MI (PMI) refers to MI occurs during or shortly after surgical procedure, typically within 48 to 72 h postoperatively.[32,33] I t i s a complication which adversely affects the prognosis of patients, with reported incidence between 2 and 10% and its pathophysiology may be different from the traditional instability of atherosclerotic plaque.[32] It can be related to a significant adverse outcome, such graft-related complications including early graft failure and coronary artery thrombosis, as well as non-graft-related factors like preoperative ischemic injuries. Technical errors during surgery and graft spasm are common causes of PMI.[33] In this review, TAR demonstrates a significantly lower incidence of MI compared to non-TAR. A meta-analysis by Yanagawa et al.[1] which compared TAR with conventional CABG and also evaluated the use of two arterial grafts found significant reductions in PMI, stroke, and hospital mortality in unmatched studies. Several factors may contribute to graft spasm during CABG, including mechanical stimulation during graft harvesting, hypothermia, pharmacological stimulation such as alpha-adrenoceptor agonists, and the use of cardiopulmonary bypass (CPB), which can increase endothelin concentrations.[34]
Using BIMA as conduit in diabetic patients are risk factors for developing SWI, sternal wound complication, sternal dehiscence or mediastinitis.[18,24,35] A s tudy b y O bed e t a l.[36] reported early postoperative incidence of adverse events such as neurological complications (stroke, transient ischemic attack [TIA]), deep SWI, respective harvesting site infections, and prolonged ventilation (>48 h) was not statistically different in TAR and aortocoronary venous bypass.[36] Another study by Urso et al.[27] f ound t hat T AR h ad a significantly higher risk of deep SWI compared to those in the non-TAR group, with a relative risk (RR) of 1.29 (95% CI: 1.08-1.55; p=0.005; I²=0.0%). Although deep SWI were more frequently observed in the TAR group, this review indicates that the incidence of SWIs in the early term does not differ significantly between TAR and non-TAR groups.
In this review, no significant differences in early mortality rates were observed between the TAR and non-TAR groups. These findings are in line with those reported by Urso et al.[27] and Buxton et al.[37] Specifically, Urso et a l.[27] found no significant difference in 30-day mortality between TAR and non-TAR groups (RR: 0.88; 95% CI: 0.73-1.05; p=0.14; I²=0.0%), while Buxton et al.[37] reported that, after propensity score matching, there was no statistically significant difference in 30-day mortality between TAR (0.8%) and SIMA + SVG (1.3%). The most significant independent predictors of mortality following CABG surgery include the surgical technique (off-pump or on-pump), chest re-exploration, redo surgery, and preoperative dialysis.[38]
Cerebrovascular accident was typically known as any new neurological deficit lasting >24 h.[39-41] Cerebrovascular accident or mostly mentioned as stroke is a devastating complication of both CABG surgery and PCI, another neurological dysfunction following CABG can manifest as encephalopathy or postoperative cognitive dysfunction.[39-41] The pathogenesis of stroke is multifactorial and it is important to assess the etiology in three distinct time periods: (i) Intraoperative stroke: Thromboembolism and hypoperfusion, (ii) Early postoperative stroke: The majority of strokes related to CABG occur during the first seven postoperative days and are related to arrhythmias and hemodynamic instability, (iii) Late stroke (beyond 7 days): Late stroke is largely predicted by the overall atherosclerotic risk profile of patients.[39] Embolization of atheromatous debris from the aorta is likely to occur during the cannulation of the aorta (aortic cross-clamping) for CPB, when the aortic clamp is applied or released, or during proximal graft anastomoses with a side-biting clamp.[40-42] Increased duration of cross-clamp and CPB times, along with cerebral hypoperfusion, have been associated with higher rates of neurological complications.[42] El-Gharabawy et al.[43] reported that the TAR technique was more favorable compared to the conventional method, as it resulted in shorter CPB times and ischemia times. Similarly, Obed et al.[36] f ound t hat p atients u ndergoing T AR h ad significantly shorter operation times, ventilation times, aortic cross-clamp times, and CPB times. Yet, this review provides no significant differences between TAR and non-TAR in CVA events, although TAR is associated with shorter operation and CPB times, suggesting a potentially reduced risk profile.
This study suggests that TAR for diabetic patients leads to improved survival rates and a reduced risk of MI, highlighting its potential as a superior revascularization strategy compared to conventional methods. Clinicians should be encouraged to assess the feasibility of TAR for diabetic patients more rigorously and integrate it into standard practice guidelines. Future research should continue to explore the mechanisms by which TAR confers these benefits and identify specific patient subgroups that may derive the most significant advantage from this approach. For future research, patient groups should be stratified based on clinical factors like medication use, glycated hemoglobin (HbA1c) levels, conduit types used to assess how these variables impact TAR outcomes. In meta-analyses, conducting subgroup analyses is advised to manage heterogeneity and improve the precision of the findings. This approach may help refine patient selection criteria and enhance personalized treatment strategies, ultimately leading to better tailored and more effective therapeutic interventions for diabetic patients undergoing CABG.
However, this meta-analysis has several limitations. First, the analysis may be subject to bias inherent in the observational study design used for the analyzed populations. Although propensity score matching is employed to adjust for risk profiles, it remains an imperfect tool. Second, analyzing TAR is challenging due to the diverse revascularization strategies it encompasses. Third, the statistical significance may be influenced by the limited number of studies included in the analysis. Fourth, the Trim & Fill method suggested adding more studies to address publication bias, but we were unable to identify additional studies comparing TAR and non-TAR specifically in diabetic patients.
In conclusion, this review provides that total arterial revascularization is significantly associated with higher survival rate and lower myocardial infarction events compared to non-total arterial revascularization in diabetic patients undergoing coronary artery bypass grafting without a significant difference in early mortality rate, sternal wound infection and cerebrovascular accidents between the two groups.
Data Sharing Statement: The data that support the findings of this study are available from the corresponding author upon reasonable request.
Author Contributions: Study conception and design, analysis and interpretation of results: E.F.W., W.A.G.; Literature search, data extraction: E.F.W., H.R.A., W.A.G.; Draft manuscript preparation: E.F.W., H.R.A.; Critical revision of the manuscript: W.A.G., N.U.D., M.P.
Conflict of Interest: The authors declared no conflicts of interest with respect to the authorship and/or publication of this article.
Funding: The authors received no financial support for the research and/or authorship of this article.
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