| Abbreviations, Acronyms &
Symbols |
| ART | = Arterial Revascularization Trial | NR | = Not reported |
| BITA | = Bilateral internal thoracic artery | NT-SV | = No-touch saphenous vein |
| BMI | = Body mass index | OR | = Odds ratio |
| CABG | = Coronary artery bypass grafting | RA | = Radial artery |
| CAD | = Coronary artery disease | RADIAL | = Radial Artery Database International
Alliance |
| CI | = Confidence interval | RAPCO | = Radial Artery Patency and Clinical
Outcomes |
| CON-SV | = Conventionally harvested saphenous vein | RAPS | = Radial Artery Patency Study |
| CTA | = Computed tomography angiography | RCA | = Right coronary artery |
| EuroSCORE | = European System for Cardiac Operative Risk
Evaluation | RCTs | = Randomized controlled trials |
| FEV1 | = Forced expiratory volume in 1 second | RIMA | = Right internal mammary artery |
| GEA | = Gastroepiploic artery | RITA | = Right internal thoracic artery |
| IRR | = Incidence rate ratio | RSVP | = Radial Artery Versus Saphenous Vein
Patency |
| ISR | = In-stent restenosis | SAVE-RITA | = Saphenous Vein versus Right Internal
Thoracic Artery |
| ITA | = Internal thoracic artery | SD | = Standard deviation |
| IVUS | = Intravascular ultrasound | seTE | = Standard error of treatment estimate |
| LAD | = Left anterior descending | SV | = Saphenous vein |
| LITA | = Left internal thoracic artery | SVG | = Saphenous vein graft |
| LVEF | = Left ventricular ejection fraction | TE | = Estimate of treatment effect |
| NMA | = Network meta-analysis | TIMI | = Thrombolysis in myocardial infarction |
INTRODUCTION
The long-term benefit of coronary artery bypass grafting (CABG) is dependent on
durable patency of the conduits used. The left internal thoracic artery (LITA) to
left anterior descending (LAD) bypass is universally accepted as the gold-standard
that confers the greatest survival benefit. Between a selection of arterial grafts
and the saphenous vein, the second conduit of choice remains
controversial[1].
Compared to the saphenous vein grafts, arterial grafts are advocated for long-term
patency and resistance to progressive graft atherosclerosis[2]. However, minimal handling of the
saphenous vein during harvesting has provided vein graft patency rates that are on
par with their arterial counterparts[3]. A comprehensive network meta-analysis (NMA) of graft patency
in randomized controlled trials (RCTs) was previously completed by our
group[4]. The key findings
were that the radial artery (RA) and no-touch saphenous vein (NT-SV) grafts were
associated with significantly lower graft occlusion rates compared with the
conventionally harvested saphenous vein (CON-SV), with RA demonstrating the best
patency[4]. The systematic
review of this study was completed in 2019. Since then, additional RCTs with
pairwise comparisons of two or more conduit types have been published (including one
very large study comparing CON-SV and NT-SV)[3], and previous studies have been updated with long-term
results[2,5,6]. We have
therefore updated the previously published NMA of the RCTs comparing graft patency
of all conduit options in CABG, in an effort to provide high-level evidence to guide
graft selection.
METHODS
No human subjects were involved; therefore, ethical approval of this analysis was not
required. The data that support the findings of this study are available from the
corresponding author upon request.
Search Strategy
For the previous NMA[4], a
medical librarian (M.D.) had performed a comprehensive literature search, on
November 11, 2019, of RCTs that compared CON-SV, NT-SV, RA, the right internal
thoracic artery (RITA), or the gastroepiploic artery (GEA). For this NMA, the
same librarian performed an updated search on December 22, 2021 in the following
databases: Ovid® MEDLINE®, Ovid® EMBASE®, and the Cochrane Library. The search
strategy included the terms “radial artery”, “internal mammary artery”,
“internal thoracic artery”, “gastroepiploic artery”, and “saphenous vein”. The
full search strategy is available in Table
S1. This review was registered with the PROSPERO register of
systematic reviews (CRD42022303553).
Table S1
Search Strategy.
| Ovid® MEDLINE® (ALL - 1946 to December
22, 2021). |
| Searched on 12/22/2021. Limited to
English language RCTs. |
| Line# | Search |
| Radial Artery/ |
| (radial arter* or arteria
radialis or radialis artery).tw. |
| Saphenous Vein/ |
| (Saphenous or SVG or saphena vein or
saphenous venos system or vena saphena).tw. |
| Internal Mammary-Coronary Artery
Anastomosis/ |
| (Right Internal Mammary Artery or RIMA
or Coronary Internal Mammary Artery or arteria mammaria interna
or arteria thoracica interna or right internal thoracic artery
or mammary internal artery).tw. |
| (cardiac muscle revascularisation or
cardiac muscle revascularization or coronary revascularisation
or coronary revascularization or heart muscle revascularisation
or heart myocardium revascularisation or heart revascularisation
or heart revascularization or internal mammary arterial
anastomosis or internal mammary arterial implantation or
internal mammary artery anastomosis or internal mammary artery
graft or internal mammary artery implant or internal mammary
artery implantation or internal mammary-coronary artery
anastomosis or myocardial revascularisation or myocardial
revascularization or myocardium revascularisation or myocardium
revascularization or transmyocardial laser revascularisation or
transmyocardial laser revascularization or vineberg
operation).tw. |
| Gastroepiploic Artery/ |
| (gastroepiploic artery or
gastroepiploic arteries or gastroepiploic blood vessel or
arteria gastroepiploica).tw. |
| or/1-9 |
| "randomized controlled
trial".pt. |
| (randomized controlled trial or
randomised controlled trial or randomized trial or randomised
trial or single blind* or double blind* or
triple blind*).ti,ab. |
| 11or12 |
| (animals not humans).sh. |
| (comment or editorial or meta-analysis
or practice-guideline or review or letter).pt. or meta-
analysis.ti. |
| (random sampl* or random
digit* or random effect* or random
survey or random regression).ti,ab.not "randomized
controlled trial".pt. |
| 13not(14or15or16) |
| 10 and 17 |
| limit 18 to english language |
| RCTs=randomized controlled trials;
RIMA=right internal mammary artery; SVG=saphenous vein
graft |
Study Selection and Quality Assessment
Searches across the aforementioned databases retrieved 859 studies. After
citations were de-duplicated, two independent reviewers (M.X.D and H.L.)
screened a total of 577 references. Discrepancies were resolved by consensus and
opinion of a third author (S.E.F.). Titles and abstracts were reviewed against
predefined inclusion and exclusion criteria. Articles were appraised for
eligibility if they were written in English and were RCTs randomized by conduit
type, comparing angiographic patency for at least two of the five conduits (RA,
RITA, CON-SV, NT-SV, and GEA) in patients undergoing CABG. Animal studies, case
reports, conference presentations, editorials, expert opinions, observational
studies, literature review, abstract only publications, and studies not defining
or reporting the outcomes of interest were excluded. Two references that were
previously acknowledged in the original NMA were removed to avoid
duplication.
Eligible abstracts proceeded to full-text review. The full flow diagram outlining
the study selection process is shown in Figure
S1. For overlapping studies involving the same study cohort with
serial assessments over time, the study with the longest angiographic follow-up
was included. The 13 studies reported in the original NMA were included in this
updated review. The following variables were collected: study demographics
(sample size, publication year, institution, country, and inclusion and
exclusion criteria), patient demographics (age, sex, and comorbidities),
procedure-related variables (number of grafts, distal anastomosis to the left
circumflex artery, proximal anastomosis to the ascending aorta, and use of
off-pump CABG), and angiographic-related variables (definition of graft
occlusion, imaging modality, completeness of angiographic follow-up, and
severity of the target vessel stenosis). The quality of the included trials was
examined by the Cochrane Collaboration’s tool for assessing risk of
bias[7].
Fig. S1
Preferred Reporting Items for Systematic Reviews and
Meta-Analyses flow diagram.
The primary outcome was graft occlusion at the protocol-defined angiographic
follow-up. The secondary outcome was all-cause mortality.
Statistical Analysis
The incidence rate with underlying Poisson process was used to account for
different follow-up times among the studies, with the total number of events
observed within a treatment group calculated out of the total person-time
follow-up for that treatment group. Pooled crude graft patency results of the
different graft types were performed using a random effects model and the
generic inverse variance method. Random effects NMA using a frequentist approach
was performed using the generic inverse variance method with CON-SV as
reference. Pooled graft patency and late mortality were summarized as forest
plots and league tables. Rank scores with probability ranks of different
treatment groups were calculated for the primary outcome. Ranks closer to 1
indicate the probability that the treatment group leads to the greatest
reduction in graft occlusion. Net graphs were constructed summarizing the
numbers of direct comparisons of the included trials. Leave-one-out analysis for
graft occlusion was done to assess for validity of the main analysis.
Subgroup analyses were performed for studies with target vessel stenosis ≥ 70%
and studies that exclusively used computed tomography angiography (CTA) for
postoperative graft assessment during follow-up.
The Cochran’s Q statistic was used to assess inconsistency using the
decomposition approach. Inconsistencies were assessed based on separate indirect
from direct evidence (or SIDE) using back-calculation method and decomposition
of within-designs Q statistic. Net heat plot was used to evaluate for
inconsistency in the network model. Heterogeneity was reported as low
(I2 = 0-25%), moderate
(I2 = 26-50%), or high
(I2 > 50%).
Pairwise comparisons were also performed to assess the consistency of the network
findings. Meta-regression was performed on the pairwise comparisons to explore
the effect on the primary outcome of age, sex, hypertension, diabetes mellitus,
dyslipidemia, target vessel stenosis, duration of follow-up, completeness of
angiographic follow-up, percentage of proximal anastomoses on the ascending
aorta, percentage of grafts to the circumflex coronary system, and use of
off-pump CABG.
For hypothesis testing purposes, we built 95% confidence intervals (CI) without
multiplicity adjustment. All statistical analyses were performed using the
“meta” and “netmeta” packages of R (version 4.1.2, R Project for Statistical
Computing using R Studio 2021.09.2).
RESULTS
After removal of duplicates, a total of 577 studies were retrieved from the
literature search. Two additional studies not identified in the initial search were
included after professional consultation (S.E.F.)[3,6]. Of the 579
studies, 13 abstracts proceeded to full-text screen. Ultimately, five additional
RCTs were included in the final analysis[3,6,8-10]. Together
with the 13 RCTs from the original meta-analysis[2,5,11-21], a
total of 18 studies were included in this review (Table 1). The detailed inclusion and exclusion criteria of the
individual trials are summarized in Table S2.
Three trials were multicenter (two in Canada, one in the United States of America),
two originated from Italy, two from Sweden, two from Korea, two from China, two from
the United Kingdom, and one each from Belgium, Australia, Norway, Egypt, and Brazil.
Two trials used within-patient randomization[12,14]. Both the RITA
vs. RA (RAPCO-RITA) and the CON-SV vs. RA
(RAPCO-SV) arms of the Radial Artery Patency and Clinical Outcomes (RAPCO) study
were included[2]. In the 2005 trial
by Gaudino et al.[15], results of
graft randomization in the study cohort of patients with coronary in-stent
restenosis and the control cohort of patent stents were included. In the 2021
parallel group by Angelini et al.[8], a factorial trial involving four treatment groups, only two of
the groups were included - conventional harvest/high-pressure test and pedicled
harvest/low-pressure test, representing CON-SV and NT-SV, respectively.
Table 1
Characteristics of included randomized trials.
| Author, year | Institution | Country | Study Period | Number of Patients |
| Angelini, 2021[8] | Bristol Heart Institute and University of
Bristol | United Kingdom | 2009-2013 | 50 |
| Buxton, 2020 (RAPCO)[2] | Austin Hospital and University of Melbourne | Australia | 1996-2005 | 619 |
| Collins, 2008 (RSVP)[11] | Royal Brompton Hospital | United Kingdom | 1998-2000 | 142 |
| Deb, 2012 (RAPS)[12] | Multicenter | Canada | 1996-2001 | 510 |
| Deb, 2019 (SUPERIOR SVG)[13] | Multicenter | Canada | 2011-2013 | 250 |
| Dreifaldt, 2019[14] | Department of Cardiovascular Surgery, University
Hospital | Sweden | 2004-2009 | 216 |
| Gaudino, 2005[15] | Catholic University, Rome | Italy | 1994-1997 | 120 |
| Glineur, 2011[16] | Cliniques Universitaire St Luc. | Belgium | 2003-2006 | 210 |
| Goldman, 2011[17] | Multicenter | United States of America | 2003-2009 | 757 |
| Hou, 2021[9] | Beijing Anzhen Hospital | China | 2018-2019 | 100 |
| Kim, 2021 (SAVE-RITA)[6] | Seoul National University Hospital | South Korea | 2008-2011 | 224 |
| Muneretto, 2004[18] | University of Brescia Medical School | Italy | 2000-2002 | 160 |
| Pettersen, 2017[19] | Department of Cardiothoracic Surgery, St. Olavs
University Hospital | Norway | 2013-2014 | 100 |
| Samano, 2015[5] | Orebro University | Sweden | 1993-1997 | 104 |
| Santos, 2002[20] | University of São Paulo | Brazil | 1998-1999 | 60 |
| Song, 2012[21] | Yonsei University College of Medicine | Korea | 2008-2009 | 60 |
| Tian, 2021[3] | Multicenter | China | 2017-2019 | 2655 |
| Toure, 2021[10] | Kasr el Ainy and Faculty of Medicine Cairo
University | Egypt | NR | 50 |
Table S2
Inclusion and exclusion criteria of the included trials.
| Author, year | Key Inclusion/exclusion criteria | Cohort description |
| Angelini, 2021[8] | Inclusion: adults aged 18 years and over
undergoing first time CABG (either on- or off-pump) with at least
one saphenous vein graft. Exclusion: valve
replacement/repair or an aortic procedure, congestive heart failure,
ejection fraction < 30%, preoperative serum creatinine > 104
μmol/L, peripheral vascular disease, allergy to iodinated contrast
media, participating in another interventional study, or unwilling
to participate in follow-up. | CON-SV vs. NT-SV |
| Buxton, 2020 (RAPCO)[2] | Inclusion: elective isolated CABG patients
requiring more than 1 bypass conduit were eligible for the trial. An
ejection fraction > 35% and at least 1 non-LAD vessel with a
proximal stenosis of at least 70% and diameter of at least 1.5 mm.
The RITA group included patients aged < 70 years (or < 60
years and diabetic) with multivessel CAD requiring at least two
grafts. The SVG group included patients aged > 70 (or > 60
years and diabetic) with multivessel CAD requiring at least two
grafts. Exclusion: at the surgeons’ discretion, if they had
an unusable conduit, experienced an acute myocardial infarction in
< 7 days, were undergoing off-pump surgery, had an unsuitable
coronary target, LVEF < 35%, language barrier, resided overseas,
body mass index > 35 kg/m2, renal impairment with serum
creatinine level > 300 μmol/L, lung disease with a FEV1 < 1 L,
and major illnesses (e.g., malignancy) with
expected survival < 10 years. | Group 1: RA vs. RITA Group
2: RA vs. CON-SV |
| Collins, 2008 (RSVP)[11] | Inclusion: ages 40-70 years, undergoing
primary isolated CABG. Exclusion: LVEF < 25%, positive
Allen’s test, history of Raynauds syndrome or vasculitis, bilateral
varicose veins, or any condition that may have affected the safety
of follow-up angiography. | RA vs. CON-SV |
| Deb, 2012 (RAPS)[12] | Inclusion: patients with a dominant
circumflex coronary artery were eligible if they had sequential
high-grade lesions in the circumflex and graftable obtuse marginal
and posterior descending arteries. Exclusion: patients with
a history of vasculitis, Raynaud’s syndrome, bilateral varicose vein
stripping, or varicose veins were excluded from the study. (a) renal
insufficiency (creatinine > 180 umol/L); (b) severe peripheral
vascular disease precluding femoral access; (c) coagulopathy or
obligatory uninterrupted use of anticoagulants; (d) known allergy to
radiographic contrast media; (e) women of childbearing potential;
(f) comorbid illness which precludes the use of follow-up
angiography; and (g) geographically inaccessible for follow-up
angiography. Patients who developed any of the preoperative
exclusion criteria following surgery were excluded from late
angiography. | RA vs. CON-SV |
| Deb, 2019 (SUPERIOR SVG)[13] | Inclusion: > 18 years old, undergoing
non-emergent isolated on- or off-pump CABG with an LVEF > 20%,
required at least one SV as part of the revascularization strategy,
and had a creatinine clearance at least 20 mL/min or higher. Exclusion: patients were excluded if the SV was unusable
due to previous vein stripping or poor quality on preoperative
duplex or vein mapping, if the patient had a contraindication to
CTA, was pregnant or a female of child-bearing age, allergy to fish
oil/fish production and nonmedicinal ingredients of the study
product, already taking fish oil supplements regularly, had a
congenital or acquired coagulation disorder, or considered excessive
risk of wound infection according to the clinical judgement of the
site surgical investigators. | CON-SV vs. NT-SV |
| Dreifaldt, 2019[14] | Inclusion: Patients with three-vessel
CAD. Exclusion: age > 65 years, LVEF 120 µmol/L, use of
anticoagulants, coagulopathy, allergy to contrast medium, positive
Allen’s test result or an abnormal result of a Doppler study of the
arms, a history of vasculitis or Raynaud’s syndrome, bilateral
varicose veins, or previous vein stripping. | RA vs. NT-SV |
| Gaudino, 2005[15] | Inclusion: patients undergoing primary
elective CABG, had undergone previous percutaneous coronary
angioplasty with successful stent implantation in any coronary
vessel > 1.2 mm in diameter at least 1 month before surgery with
preoperative angiographic demonstration of failed or patent
intracoronary stent, and angiographic evidence of triple vessel
coronary disease with a diseased (proximal stenosis ≥ 70%) graftable
(≥ 1 mm in diameter) obtuse marginal artery, LVEF > 50%, and no
preoperative evidence or history of lateral or posterolateral
myocardial infarction. Exclusion: patients who underwent
stent implantation < 1 month before surgery were excluded, in the
presumption that stent failure in such limited time frame could be
technically related. | RITA vs. RA vs.
CON-SV |
| Glineur, 2011[16] | Inclusion: patients with life expectancy
of > 5 years, undergoing elective isolated CABG with angiographic
evidence of severe (> 70% by visual estimate) coronary
obstruction on the RCA territory with a perioperative lumen diameter
of the right GEA > 1.5 mm. Exclusion: a history of upper
abdominal surgery, history of upper gastrointestinal bleeding or
active gastric/duodenal ulcer, BMI > 35, diabetes with hemoglobin
A1c > 7.5, FEV1 < 60% predicted, redo surgery, cirrhosis, or
other configuration than graft to posterior descending artery or
posterior lateral artery. | RA vs. right GEA |
| Goldman, 2011[17] | Inclusion: patients undergoing elective
first-time CABG without concomitant valve procedure. Exclusion: requirement for only a single vessel bypass
where the left internal mammary artery would be used for that graft;
previous vein stripping and ligation of saphenous veins with no
venous conduit available for bypass; Raynaud’s symptoms; creatinine
> 2.0 mg/dL or requiring hemodialysis; positive Allen’s test;
cardiogenic shock, or unable to give consent; allergic to contrast
material; undergoing repeat CABG; less than full use of both arms;
currently pregnant; neurologic or musculoskeletal disease affecting
the arm; refusal to participate; requirement for any concomitant
valve operation in the mitral, aortic, or pulmonary position;
isolated tricuspid annuloplasty was acceptable but tricuspid valve
replacement excluded the patient from consideration; concomitant Dor
or Maze procedure; in another research study; or no suitable radial
target (there is no non-LAD vessel with a > 70% stenosis). | RA vs. CON-SV |
| Hou, 2021[9] | Inclusion: aged 18-80 years, at least
three-vessel CAD, and voluntarily joined the study and signed the
informed consent form. Exclusion: simultaneous operations
(such as heart valve or lung or abdominal surgery), emergency
surgery, ejection fraction ≤ 35%, complicated with interventricular
septal perforation and ventricular aneurysm, redo CABG, internal
diameter of great saphenous vein ≤ 0.20 cm, varicose great saphenous
vein, or venous tortuosity, complicated with severe malignant tumor
or other serious systemic diseases, severe renal insufficiency
(creatinine > 200 μmol/L), dual antiplatelet taboo, severe
peripheral vascular disease, allergy to the radio-contrast agent,
participation in other clinical trials at the same time. | CON-SV vs. NT-SV |
| Kim, 2021 (SAVE RITA)[6] | Inclusion: patients aged 40-70 years
undergoing off-pump CABG for multivessel CABG using a Y-composite
graft based on the in situ left internal thoracic artery. Exclusion: ineligible Y-composite graft revascularization,
an unavailable RITA or SV, LVEF ≤ 25%, chronic renal failure
requiring renal replacement therapy, previous cardiac surgery,
emergency operation, or a medical history such as malignant disease
that might limit the possibility of midterm follow-up. | CON-SV vs. RITA |
| Muneretto, 2004[18] | Inclusion: patients aged > 70 years and
scheduled for on-pump isolated myocardial revascularization. Exclusion: age < 70 years, single-vessel disease,
emergency operations, concomitant procedures other than coronary
surgery, LVEF < 20%, EuroSCORE > 10, and the presence of a
positive Allen’s test. | RA vs. CON-SV |
| Pettersen, 2017[19] | Inclusion: patients undergoing isolated
first-time non-emergent CABG requiring cardiopulmonary bypass with
an LVEF > 35% with at least one saphenous vein graft required as
part of the revascularization strategy. Exclusion: any acute
or chronic inflammatory diseases, patient with a history of
malignancy, pregnancy, or previous cardiac surgery, serum creatinine
> 120 umol/L, coagulopathy, insulin-dependent diabetes, smoking
during last 6 months, leg not suitable for no-touch vein harvesting
as judged by the operator, need for nitrates on operation day, and
patients not on statins. | CON-SV vs. NT-SV |
| Samano, 2015[5] | Exclusion: unstable angina,
insulin-dependent diabetes mellitus, serum creatinine > 120
umol/L, preventive use of anticoagulants, coagulopathy, combined
procedure, redo CABG, and severe peripheral vascular disease. | CON-SV vs. NT-SV |
| Santos, 2002[20] | Exclusion: (a) age over 70 years; (b)
severe obesity; (c) previous abdominal operation; (d) positive
Allen’s test; (e) redo operation; (f) additional procedure; (g)
severely depressed left ventricular function; (h) contraindications
for use of calcium-channel blockers; and (i) contraindication for
postoperative angiography. | RA vs. right GEA |
| Song, 2012[21] | Inclusion: age ≥ 70 years and primary
isolated off-pump CABG. Exclusion: single-vessel disease,
emergent surgery, a positive Allen’s test, or acute or chronic renal
failure. | RA vs. NT-SV |
| Tian, 2021[3] | Inclusion: patients aged 18 years or older
who was planned to undergo primary isolated open-chest CABG with at
least one graft from saphenous vein, with or without cardiopulmonary
bypass. Exclusion: concomitant cardiac or vascular surgeries
(i.e., valve repair or replacement, Maze
surgery), redo CABG, emergency CABG, use of vascular stapler for
anastomosis, planned endarterectomy of coronary artery during
surgery, left ventricular repair due to ventricular aneurysm,
malignant tumor or other severe systemic diseases, severe renal
insufficiency (i.e., serum creatinine > 200
μmol/L), contraindications for dual antiplatelet therapy, such as
active gastroduodenal ulcer, participant of other ongoing clinical
trials. | CON-SV vs. NT-SV |
| Toure, 2021[10] | Inclusion: target lesion in oblique
marginal is proximal and tight (> 80%), LVEF > 40%. | RA vs. CON-SV |
A total of 6,543 randomized patients were included in the final analysis.
Demographics of the included patients are presented in Table S3. The number of patients in the trials ranged from 50 to
2,655. The mean age range was 58.0 to 76.9 years in the CON-SV group, 61.0 to 77.6
years in the NT-SV group, 55.7 to 77.3 years in the RA group, 59.5 to 63.5 years in
the RITA group, and 56.1 to 61.9 years in the GEA group. Female patients ranged from
1% to 46% in the CON-SV group, 7% to 44% in the NT-SV group, 0% to 51% in the RA
group, 5% to 19% in the RITA group, and 12% to 13% in the GEA group. The prevalence
of diabetes mellitus ranged from 4% to 84% in the CON-SV group, 2% to 76% in the
NT-SV group, 11% to 49% in the RA group, were 11% in the RITA group, and ranged from
20% to 27% in the GEA group. The details of procedure- and angiography-related
variables are shown in Tables S4 and S5, respectively.
Table S3
Demographics of included patients.
| Author, year | Age (Mean ± SD) | Sex (Female), N (%) | Hypertension, N (%) | Diabetes, N (%) | Dyslipidemia, N (%) |
| Angelini, 2021[8] | CON-SV: 65.0 ± 8.6 NT-SV: 67.6 ± 7.3 | CON-SV: 4.3 NT-SV: 15.4 | CON-SV: 82.6 NT-SV: 73.1 | CON-SV: 8.7 NT-SV: 19.2 | CON-SV: 100 NT-SV: 88.5 |
| Buxton, 2020 (RAPCO-RITA)[2] | RA: 59.2 RITA: 59.5 | RA: 12.0 RITA: 9.0 | RA: 57.0 RITA: 51.0 | RA: 11.0 RITA: 11.0 | NR |
| Buxton, 2020(RAPCO-SV)[2] | RA: 72.6 CON-SV: 73.1 | RA: 19.0 CON-SV: 19.0 | RA: 60.0 CON-SV: 70.0 | RA: 44.0 CON-SV: 46.0 | NR |
| Collins, 2008 (RSVP)[11] | RA: 58.0 ± 6.0 CON-SV: 58.0 ± 8.0 | RA: 3.0 CON-SV: 5.0 | RA: 58.0 CON-SV: 50.0 | RA: 19.0 CON-SV: 14.0 | RA: 69.0 CON-SV: 84.0 |
| Deb, 2012(RAPS)[12] | RA: 60.4 ± 8.0 CON-SV: 60.4 ± 8.0 | RA: 15.2 CON-SV: 15.2 | RA: 45.0 CON-SV: 45.0 | RA: 30.9 CON-SV: 30.9" | RA/CON-SV: 70.3 |
| Deb, 2019 (SUPERIOR SVG) [13] | CON-SV: 64.0 ± 8.2 NT-SV: 65.5 ± 9.0 | CON-SV: 8.1 NT-SV: 16.5 | CON-SV: 83.7 NT-SV: 75.6 | CON-SV: 83.7 NT-SV: 75.6" | NR |
| Dreifaldt, 2019[14] | Overall: 59.0 | Overall: 12.0 | Overall: 50.0 | Overall: 18.0 | Overall: 89.0 |
| Gaudino, 2005 (control)[15] | Overall: 63.0 ± 8.0 | Overall: 29.0 | Overall: 21.0 | Overall: 22.0 | Overall: 35.0 |
| Gaudino, 2005 (study)[15] | Overall: 65.0± 9.0 | Overall: 25.0 | Overall: 18.0 | Overall: 40.0 | Overall: 38.0 |
| Glineur, 2011[16] | CON-SV: 63.1 ± 7.7 RITA: 62.9 ± 8.3
GEA: 61.9 ± 8.3 | CON-SV: 6.0 RITA: 5.0 GEA: 12.0 | CON-SV: 76.0 RITA: 28.0 GEA:
82.0 | CON-SV: 24.0 RITA: 11.0 GEA:
27.0 | CON-SV: 71.0 RITA: 27.0 GEA:
82.0 |
| Goldman, 2011[17] | RA: 61.0 ± 8.0 CON-SV: 62.0± 8.0 | RA: 0.0 CON-SV: 1.0 | RA: 79.0 CON-SV: 79.0 | RA: 42.0 CON-SV: 42.0 | NR |
| Hou, 2021[9] | CON-SV: 59.8 ± 7.8 NT-SV: 61.0 ± 8.7 | CON-SV: 6.0 NT-SV: 8.0 | CON-SV: 60.0 NT-SV: 58.0 | CON-SV: 40.0 NT-SV: 36.0 | CON-SV: 22.0 NT-SV: 24.0 |
| Kim, 2021 (SAVE-RITA)[6] | CON-SV: 64 RITA: 63.5 | CON-SV: 24.8 RITA: 19.1 | NR | NR | NR |
| Muneretto, 2004[18] | RA: 77.3 ± 3.0 CON-SV: 76.9 ± 2.0 | RA: 43.7 CON-SV: 46.2 | NR | RA: 48.7 CON-SV: 45.0 | NR |
| Pettersen, 2017[19] | CON-SV: 65.0 ± 6.9 NT-SV: 63.4 ± 7.1 | CON-SV: 18.0 NT-SV: 7.0 | NR | CON-SV: 4.0 NT-SV: 2.0 | NR |
| Samano, 2015[5] | CON-SV: 71.4 NT-SV: 77.6 | CON-SV: 14.8 NT-SV: 7.4 | CON-SV: 67.0 NT-SV: 56.0 | CON-SV: 30.0 NT-SV: 37.0" | CON-SV: 93.0 NT-SV: 96.0 |
| Santos, 2002[20] | RA: 55.7 ± 7.9 GEA: 56.1 ± 7.7 | RA: 16.7 GEA: 13.3 | RA: 70.0 GEA: 80.0 | RA: 26.7 GEA: 20.0 | NR |
| Song, 2012[21] | RA: 72.7 ± 3.5 NT-SV: 74.6 ± 3.8 | RA: 51.4 NT-SV: 44 | RA: 65.7 NT-SV: 84.0 | RA: 42.9 NT-SV: 52.0 | RA: 48.6 NT-SV: 44.0 |
| Tian, 2021[3] | CON-SV: 60.8 ± 8.0 NT-SV: 60.9 ± 8.4 | CON-SV: 21.8 NT-SV: 21.4 | CON-SV: 61.8 NT-SV: 64.5 | CON-SV: 35.1 NT-SV: 36.2 | CON-SV: 69.2 NT-SV: 68.0 |
| Toure, 2021[10] | NR | NR | NR | NR | NR |
Table S4
Procedure-related variables by trial.
| Author, year | Graft to circumflex coronary system (%) | Proximal anastomosis to ascending aorta (%) | Off-pump CABG (%) |
| Angelini, 2021[8] | CON-SV: 40.5 NT-SV: 45.7 | NR | CON-SV: 69.6 NT-SV: 57.7 |
| Buxton, 2020 (RAPCO-RITA)[2] | RA: 62 RITA: 67 | RA: 100 RITA: 100 | RA: 0 RITA: 0 |
| Buxton, 2020 (RAPCO-SV)[2] | RA: 68 CON-SV: 60 | RA: 100 CON-SV: 100 | RA: 0 CON-SV: 0 |
| Collins, 2008 (RSVP)[11] | NR | "RA: 100 CON-SV: 100" | "RA: 0 CON-SV: 0" |
| Deb, 2012 (RAPS)[12] | RA: 50 CON-SV: 50 | RA: 98.4 CON-SV: 99.6 | NR |
| Deb, 2019 (SUPERIOR SVG)[13] | NR | NR | NR |
| Dreifaldt, 2019[14] | RA: 63 NT-SV:62 | NR | RA: 0 NT-SV: 0 |
| Gaudino, 2005 (control)[15] | RA: 100 CON-SV: 100 RITA: 100 | RA: 100 CON-SV: 100 RITA: 100 | RA: 0 CON-SV: 0 RITA: 0 |
| Gaudino, 2005 (study)[15] | RA: 100 CON-SV: 100 RITA: 100 | RA: 100 CON-SV: 100 RITA: 100 | RA: 0 CON-SV: 0 RITA: 0 |
| Glineur, 2011[16] | CON-SV: 0 RITA: 0 GEA: 0 | CON-SV: 100 RITA: 0 GEA: 100 | NR |
| Goldman, 2011[17] | RA: 55 CON-SV: 59 | RA: 100 CON-SV: 100 | RA: 11 CON-SV: 13 |
| Hou, 2021[9] | NR | NR | CON-SV: 100 NT-SV: 100 |
| Kim, 2021 (SAVE RITA)[6] | CON-SV: 99.2 RITA: 96.6 | CON-SV: 0 RITA: 0 | CON-SV: 100 RITA: 100 |
| Muneretto, 2004[18] | RA: 50 CON-SV: 52 | RA: 0 CON-SV: 0 | RA: 0 CON-SV: 0 |
| Pettersen, 2017[19] | NR | CON-SV: 100 NT-SV: 100 | CON-SV: 0 NT-SV: 0 |
| Samano, 2015[5] | CON-SV: 62 NT-SV: 78 | CON-SV: 100 NT-SV: 100 | NR |
| Santos, 2002[20] | RA: 55 GEA: 55 | RA: 0 GEA: 0 | RA: 0 GEA: 0 |
| Song, 2012[21] | NR | RA: 0 NT-SV: 0 | RA: 100 NT-SV: 100 |
| Tian, 2021[3] | CON-SV: 27.1 NT-SV: 27.0 | NR | CON-SV: 56.4 NT-SV: 58 |
| Toure, 2021[10] | RA: 100 CON-SV: 100 | RA: 0 CON-SV: 100 | NR |
Table S5
Angiography-related variables by trial.
| Author, year | Definition of graft occlusion | Number of patients who underwent angiography | Method of angiography | Severity of coronary blockage |
| Angelini, 2021[8] | NR | 36 | IVUS or catheter-based angiogram | NR |
| Buxton, 2020 (RAPCO-RITA)[2] | 1. Total occlusion 2. Stenosis >
80% 3. “String sign” (indicating the absence of functional
flow in an arterial graft despite anatomic patency) | 326 | Catheter-based angiography in 80% of grafts
CTA in 20% of grafts | > 70% |
| Buxton, 2020 (RAPCO-SVG)[2] | 1. Total occlusion 2. Stenosis > 80% | 156 | Catheter-based angiography in 82% of grafts
CTA in 18% of grafts | > 70% |
| Collins, 2008(RSVP)[11] | Absence of visible opacification of the study graft
despite aortogram. Additional secondary angiographic visual grading
of the grafts was defined as P1 = perfect patency; P2 = compromised
flow states (stenosis at the anastomoses or in the body of the
graft) 50%; P3 = compromised flow states > 50%; P4 = severe
diffuse graft narrowing (string sign); and P5 = total occlusion | 103 | Catheter-based angiography | > 70% |
| Deb, 2012 (RAPS)[12] | Lack of TIMI flow 3 | 269 | Catheter-based angiography in 87% of patients
CTA in 13% of patients | > 70% |
| Deb, 2019 (SUPERIOR SVG)[13] | 1. Primary outcome: complete occlusion at 1
year 2. Secondary outcomes: significant (50-99%) stenosis,
and a composite of significant stenosis or complete occlusion | 212 | CTA | > 50% |
| Dreifaldt, 2019[14] | No opacification of graft on CTA | 99 | CTA | > 50% |
| Gaudino, 2005[15] | Four subgroups of patency: 1. Perfectly
patent 2. Patent with irregularity 3.
Stringed 4. Occluded | 120 | Catheter-based angiography | > 50% for ISR and > 70% for proximal native
stenosis |
| Glineur, 2011[16] | Graft functionality was scored as 0, for an occluded
graft; 1, when the flow from the native coronary artery was
dominant; 2, when flow supply from the native coronary and the graft
was balanced; 3, when the native coronary was fully opacified by the
graft; and 4, when the native coronary was fully opacified by the
graft only (occluded or sub-occluded coronary native vessel). A
graft was considered “not functional” with patency scores of 0 to 2
and “functional” with patency scores of 3 or 4 | 210 | Catheter-based angiography | < 48%, 48-64%, 65-99%, 100% |
| Goldman, 2011[17] | Opacification of distal target by injection of the
graft | 535 | Catheter-based angiography | > 70% |
| Hou, 2021[9] | FitzGibbon-A/B was used for patency, and FitzGibbon-O
was used for graft failure | 97 | CTA | NR |
| Kim, 2021 (SAVE RITA)[6] | FitzGibbon classification: grades A (excellent graft)
and B (fair) were considered patent. Grade O (anastomosis), which
included stenosis of 75% or more of the grafted coronary artery or a
totally occluded graft, was considered occluded | 155 | "Catheter-based angiography in 60.6% of
patients CTA in 39.4% of patients" | > 75% |
| Muneretto, 2004[18] | FitzGibbon classification, that is, grade A
(unimpaired graft run-off), grade B (reduced graft caliber < 50%
of the grafted coronary artery), and grade C (occluded graft) | 136 | CTA | > 70% for RA grafts > 60% for ITA
grafts |
| Pettersen, 2017[19] | NR | 44 | Catheter-based angiography | NR |
| Samano, 2015[5] | A graft was judged as occluded when the graft was not
opacified by contrast media. A graft stenosis was judged
insignificant when the narrowing of the lumen diameter was > 50%
relative to the adjacent parts of the vessel | 54 | CTA | NR |
| Santos, 2002[20] | 1. Functioning: good flow, good diameter, filling of
the target coronary artery 2. Non-functioning: severe and
diffuse spasm and narrowed graft (string sign) or occluded without
filling of the target coronary artery | 58 | Catheter-based angiography | > 75% |
| Song, 2012[21] | NR | 190 | CTA | NR |
| Tian, 2021[3] | Graft occlusion was considered when a conduit did not
fill with contrast at all or string sign was found in any segment.
For sequential anastomosis, 1 occlusion of any of the distal
anastomoses was judged as occlusion of the whole graft vessel | 2434 | CTA | < 70%, 70-8%, ≥ 90% |
| Toure, 2021[10] | NR | 50 | CTA | > 80% |
A total of 8,272 grafts were analyzed across the 18 included trials: 3,732 CON-SV
grafts, 2,647 NT-SV grafts, 1,223 RA grafts, 549 RITA grafts, and 121 GEA grafts.
The weighted mean angiographic follow-up time was 3.5 years (95% CI 1.5-5.4). The
crude patency rates of the analyzed conduits were as follows: RA 94.1% (95% CI
90.0-97.6); NT-SV 91.4% (95% CI 87.3-94.3); RITA 89.2% (95% CI 71.2-96.5); CON-SV
86.3% (95% CI 81.2-90.2); and GEA 61.2% (95% CI 52.2-69.4). Details of patency rates
are given in Table 2.
Table 2
Pooled patency of different grafts.
| Graft | Number of studies | Number of grafts | Pooled patency rate (95% CI) | Pooled angiographic follow-up (years) |
| RA | 11 | 1223 | 94.1 (90.0 - 97.6) | 5.46 |
| NT-SV | 8 | 2647 | 91.4 (87.3 - 94.3) | 1.85 |
| RITA | 5 | 549 | 89.2 (71.2 - 96.5) | 6.98 |
| CON-SV | 15 | 3732 | 86.3 (81.2 - 90.2) | 2.85 |
| GEA | 2 | 121 | 61.2 (52.2 - 69.4) | 2.89 |
With CON-SV as reference, only RA (incidence rate ratio [IRR] 0.56; 95% CI 0.43-0.74)
and NT-SV (IRR 0.56; 95% CI 0.44-0.70) were associated with significantly lower rate
of graft occlusion, whereas RITA (IRR 1.06; 95% CI 0.73-1.54) and GEA (IRR 0.98; 95%
CI 0.64-1.52) were not (Table 3, Figure 1, Figure
2A). The width of the CI supports a clinically meaningful benefit of RA
and NT-SV in comparison to CON-SV. NT-SV was ranked as the best conduit with a rank
score of 0.88 vs. 0.87 for RA, 0.29 for GEA, 0.27 for CON-SV, and
0.20 for RITA. These results were confirmed in the individual pairwise meta-analyses
(Figure S2 and Table S6A).
Table 3
League tables summarizing the results of the network meta-analysis
(expressed as incidence rate ratio with 95% confidence interval) for graft
occlusion using random effects model.
| Graft occlusion |
| CON-SV | | | | |
| 1.79 (1.42 -
2.25) | NT-SV | | | |
| 1.77 (1.34 -
2.34) | 0.99 (0.71 - 1.39) | RA | | |
| 0.95 (0.65 - 1.38) | 0.53 (0.34 -
0.82) | 0.53 (0.36 -
0.80) | RITA | |
| 1.02 (0.66 - 1.57) | 0.57 (0.35 -
0.93) | 0.57 (0.35 -
0.93) | 1.07 (0.66 - 1.73) | GEA |
Fig. 1
Forest plot for graft occlusion for the different conduits.
CI=confidence interval; CON-SV=conventionally harvested saphenous vein;
GEA=gastroepiploic artery; IRR=incidence rate ratio; NT-SV=no-touch
saphenous vein; RA=radial artery; RITA=right internal thoracic
artery.
Fig. 2
Net graph of the different comparisons for A) the primary outcome of
graft occlusion and B) the secondary outcome of late mortality. Width of
the lines indicate the number of studies comparing each pair of
treatment. In the network plots, colored polygons indicate the presence
of multi-arm (3 or more) trials, whereas line shading and thickness are
inversely proportional to standard errors of the fixed effect estimate
stemming from direct between-arm comparisons. CON-SV=conventionally
harvested saphenous vein; GEA=gastroepiploic artery; NT-SV=no-touch
saphenous vein; RA=radial artery; RITA=right internal thoracic
artery.
Fig. S2
Forest plot for the pairwise comparison of graft occlusion for A)
radial artery (RA) vs. conventionally harvested saphenous vein (CON-SV);
B) no-touch saphenous vein (NT-SV) vs. CON-SV; C) right internal
thoracic artery (RITA) vs. CON-SV; D) RA vs. RITA; E) and NT-SV vs. RA.
CI=confidence interval; IRR=incidence rate ratio; RAPCO=Radial Artery
Patency and Clinical Outcomes; RAPS=Radial Artery Patency Study;
RSVP=Radial Artery Versus Saphenous Vein Patency; SAVE-RITA=Saphenous
Vein versus Right Internal Thoracic Artery; seTE=standard error of
treatment estimate; SV=saphenous vein; TE=estimate of treatment effect,
e.g., log hazard ratio or risk difference.
The results of the sensitivity analysis for target vessel stenosis ≥ 70% showed
superiority of RA (IRR, 0.49; 95% CI, 0.30-0.82) to CON-SV, but no significant
difference between NT-SV (IRR, 0.58; 95% CI, 0.25-1.31) and CON-SV (Figure S3). Studies using CTA for graft
assessment were consistent with the primary analysis (Figure S4).
Fig. S3
Subgroup analysis for the primary outcome in studies with target
vessel stenosis ≥ 70%. CI=confidence interval; CON-SV=conventionally
harvested saphenous vein; GEA=gastroepiploic artery; IRR=incidence rate
ratio; NT-SV=no-touch saphenous vein; RA=radial artery; RITA=right
internal thoracic artery.
Fig. S4
Sensitivity analyses for studies using computed tomography
angiography exclusively for postoperative graft assessment. There were
not enough studies reporting data for the right internal thoracic artery
and the gastroepiploic artery. CI=confidence interval;
CON-SV=conventionally harvested saphenous vein; IRR=incidence rate
ratio; NT-SV=no-touch saphenous vein; RA=radial artery.
Late mortality was comparable between conduits at a weighted mean follow-up time of
3.5 years (Figures 2B and 3, Tables 4 and S6B).
The network RA vs. GEA comparison appeared to favor RA, with
limited data - although only one study directly compared the two conduits[20].
Table 4
League tables summarizing the results of the network meta-analysis
(expressed as incidence rate ratio with 95% confidence interval) for late
mortality using random effects model.
| Late mortality |
| CON-SV | | | | |
| 1.01 (0.63 - 1.63) | NT-SV | | | |
| 1.31 (0.91 - 1.90) | 1.30 (0.71 - 2.38) | RA | | |
| 0.84 (0.53 - 1.33) | 0.83 (0.42 - 1.61) | 0.64 (0.41 - 1.00) | RITA | |
| 0.26 (0.06 - 1.25) | 0.26 (0.05 - 1.33) | 0.20 (0.04 -
0.91) | 0.31 (0.06 - 1.53) | GEA |
Table S6
Summary of different pairwise comparisons using random effects modeling
for A) graft occlusion and B) late mortality. For each pairwise comparison,
the second group is the reference arm.
| A. |
| Outcomes | Studies | IRR (95% CI) | I2 | Heterogeneity
P-value | Overall effect
P-value |
| Graft occlusion |
| RA vs. CON-SV | 7 | 0.45 (0.26 - 0.80) | 0.46 | 0.08 | 0.01 |
| NT-SV vs. CON-SV | 6 | 0.57 (0.46 - 0.72) | 0.0 | 0.96 | < 0.0001 |
| RITA vs. CON-SV | 4 | 0.97 (0.58 - 1.60) | 0.14 | 0.32 | 0.91 |
| RA vs. RITA | 3 | 0.53 (0.28 - 0.99) | 0.0 | 0.87 | 47 |
| NT-SV vs. RA | 2 | 0.83 (0.43 - 1.63) | 0.57 | 0.13 | 0.88 |
| B. |
| Outcomes | Studies | IRR (95% CI) | I2 | Heterogeneity
P-value | Overall effect
P-value |
| Late mortality |
| RA vs. CON-SV | 6 | 0.81 (0.54 - 1.22) | 0.00 | 1.00 | 0.32 |
| NT-SV vs. CON-SV | 4 | 0.99 (0.61 - 1.60) | 0.00 | 0.46 | 0.96 |
| RITA vs. CON-SV | 3 | 1.04 (0.56 - 1.92) | 0.00 | 1.00 | 0.90 |
| RA vs. RITA | 3 | 0.57 (0.32 - 1.00) | 0.00 | 0.92 | 0.05 |
Fig. 3
Forest plot for late mortality for the different conduits.
CI=confidence interval; CON-SV=conventionally harvested saphenous vein;
GEA=gastroepiploic artery; IRR=incidence rate ratio; NT-SV=no-touch
saphenous vein; RA=radial artery; RITA=right internal thoracic
artery.
Heterogeneity/inconsistency estimates and net split are shown in Tables S7 and S8, and in the net heat plot shown in Figure S5. Overall heterogeneity was low (I2 < 5%) for graft patency and late mortality (Table S8). Risk of bias was low for most of
the trials (Table 5).
Table S7
Assessment of inconsistency based on separate indirect from direct
evidence (or SIDE) using back-calculation method and random effects
model.
| Graft occlusion | 
|
| Late mortality | 
|
Table S8
Quantifying heterogeneity.
| Outcome | Quantifying heterogeneity/inconsistency | Tests of heterogeneity (within designs) and
inconsistency (between designs) |
| Graft occlusion | Tau2
= 0.0052, I2 =
2.9% | 
|
| Late mortality | Tau2
= 0, I2 = 0% | 
|
Table 5
Assessment of risk of bias using the Cochrane Collaboration’s
tool.
| Author, year | Random Sequence Generation | Allocation Concealment | Blinding of Participants | Blinding of Outcome Assessment | Incomplete Outcome Data | Selective reporting |
| Angelini, 2021[8] | + | + | + | + | + | + |
| Buxton, 2020 (RAPCO)[2] | + | + | - | + | + | + |
| Collins, 2008 (RSVP)[11] | + | + | + | + | + | - |
| Deb, 2012 (RAPS)[12]* | + | - | - | + | + | - |
| Deb, 2019 (SUPERIOR
SVG)[13] | + | + | + | + | + | + |
| Dreifaldt, 2019[14]* | + | - | - | + | + | + |
| Gaudino, 2005[15] | + | ? | - | + | + | + |
| Glineur, 2011[16] | + | + | - | + | ? | + |
| Goldman, 2011[17] | + | + | ? | ? | + | + |
| Hou, 2021[9] | + | + | + | ? | + | + |
| Kim, 2021 (SAVE-RITA)[6] | + | - | + | + | + | + |
| Muneretto, 2004[18] | + | - | ? | + | + | + |
| Pettersen, 2017[19] | + | ? | ? | + | ? | ? |
| Samano, 2015[5] | + | - | + | + | + | + |
| Santos, 2002[20] | + | - | - | + | + | + |
| Song, 2012[21] | + | + | ? | + | + | + |
| Tian, 2021[3] | + | + | + | + | + | + |
| Toure, 2021[10] | ? | ? | ? | ? | + | ? |
Fig. S5
Net heat plot evaluating for inconsistency (i.e., disagreement
between direct and indirect evidence) in the network model for A) graft
patency and B) late mortality. The areas of gray squares represent the
relative contributions of designs listed in the columns to the network
estimate of designs listed in the rows. The colors are associated with
changes in inconsistency between direct and indirect evidence in designs
listed in the rows after detaching the effect of designs listed in the
columns. Yellow colors indicate a decrease (the stronger the intensity
of the color, the stronger the change). CON-SV=conventionally harvested
saphenous vein; GEA=gastroepiploic artery; NT-SV=no-touch saphenous
vein; RA=radial artery; RITA=right internal thoracic artery.
Leave-one-out analysis and funnel plot did not identify strong evidence of invalidity
of the main analysis (Figures S6 and S7).
Fig. S6
Leave-one-out analysis for graft occlusion in A) radial artery (RA)
vs. conventionally harvested saphenous vein (CON-SV); B) no-touch
saphenous vein (NT-SV) vs. CON-SV; C) right internal thoracic artery
(RITA) vs. CON-SV; D) RA vs RITA; E) RA vs. NT-SV. CI=confidence
interval; IRR=incidence rate ratio; RAPCO=Radial Artery Patency and
Clinical Outcomes; RAPS=Radial Artery Patency Study; RSVP=Radial Artery
Versus Saphenous Vein Patency; SV=saphenous vein.
Fig. S7
Funnel plot for all studies. CON-SV=conventionally harvested
saphenous vein; GEA=gastroepiploic artery; NT-SV=no-touch saphenous
vein; RA=radial artery; RITA=right internal thoracic artery.
Meta-regression
Comparing RA and CON-SV, the percentage of off-pump technique use was directly
associated, and the percentage of female patients was inversely associated with
the IRR for the primary outcome of graft occlusion. There was no significant
association between the variables and other graft comparisons in the
meta-regression (Table S9).
Table S9
Meta-regression for the primary outcome of graft occlusion.
| RA vs. CON-SV
(n=7) | RITA vs. CON-SV
(n=4) | RA vs. RITA
(n=3) | NT-SV vs. CON-SV
(n=6) | RA vs. NT-SV
(n=2) |
| Age | -0.05 ± 0.05, P=0.36 | - | - | -0.01 ± 0.03, P=0.67 | - |
| Female sex | -0.05 ± 0.02,
P=0.01 | - | - | 0.01 ± 0.02, P=0.57 | - |
| Hypertension | 0.02 ± 0.01, P=0.08 | - | - | -0.005 ± 0.02, P=0.77 | - |
| Diabetes mellitus | 0.05 ± 0.03, P=0.10 | - | - | -0.008 ± 0.02, P=0.67 | - |
| Dyslipidemia | - | - | - | -0.005 ± 0.01, P=0.63 | - |
| Target vessel stenosis | 1.7 ± 1.57, P=0.29 | 0.47 ± 0.46, P=0.31 | 0.48 ± 1.67, P=0.77 | - | - |
| Duration of follow-up | -0.02 ± 0.11, P=0.89 | 0.07 ± 0.07, P=0.31 | 0.05 ± 0.34, P=0.88 | -0.01 ± 0.02, P=0.66 | - |
| Completeness of angiographic follow-up | -0.02 ± 0.02, P=0.41 | -0.02 ± 0.02, P=0.27 | 0.006 ± 0.04, P=0.87 | 0.004 ± 0.009, P=0.66 | - |
| Proximal anastomosis on the ascending aorta | 0.02 ± 0.01, P=0.18 | -0.01 ± 0.01, P=0.25 | - | - | - |
| Graft to circumflex coronary system | 0.002 ± 0.02, P=0.9 | -0.01 ± 0.01, P=0.51 | 0.003 ± 0.02, P=0.87 | 0.009 ± 0.07, P=0.90 | - |
| Off-pump coronary artery bypass grafting | 0.10 ± 0.05,
P=0.04 | 0.01 ± 0.01, P=0.25 | -0.005 ± 0.03, P=0.87 | -0.0003 ± 0.009, P=0.98 | - |
DISCUSSION
In this NMA of 18 RCTs (8,272 grafts), we found that compared with CON-SV, RA and
NT-SV have significantly lower occlusion rate at a mean weighted follow-up time of
3.5 years. NT-SV and RA ranked as the best conduits, whereas there was no strong
evidence for greater patency in RITA and right GEA when compared to CON-SV.
Currently, there is still a lack of consensus on the second best conduit after the
LITA to LAD bypass for non-LAD targets. Meta-analysis of angiographic RCTs allows a
robust understanding of patency rates of various conduits while minimizing
confounding and risk of bias. By amalgamating the randomized trials, a meta-analysis
is the highest level of evidence available. Additionally, NMA provides the advantage
of facilitating indirect comparisons of multiple interventions, thereby increasing
the power of the analysis.
The comparison between NT-SV and CON-SV was assessed by the largest RCT included in
our NMA, with 2,655 randomized patients[3]. Tian et al.[3] reported a lower rate of graft occlusion at 12 months compared
to CON-SV, with an odds ratio (OR) of 0.56 (95% CI, 0.41-0.76;
P<0.001); however, there was no difference in major adverse
cardiac and cerebrovascular events. The caveat of NT-SV is a higher rate of leg
wound surgical intervention at three months of follow-up (OR 2.55; 95% CI,
1.85-3.52; P<0.001)[3]. Deb et al.[13] also showed an over two fold increase in the rate of leg
infections (P<0.01) and more severe infection with NT-SV
(P=0.004) at 30 days, compared to CON-SV. Due to an increased
risk of harvest-site complications, guidelines recommend NT-SV harvest technique
only in patients with low risk of wound complications[22]. The NT-SV received a Class IIa recommendation in
the 2018 European Revascularization guidelines[23] and was a Best Practice in the 2021 American College of
Cardiology/American Heart Association revascularization guidelines[22].
Several large RCTs support the long-term patency of RA over CON-SV[2,11,12]. The Radial
Artery Database International Alliance (RADIAL) database also reported lower 10-year
composite outcome of death, myocardial infarction, or repeat revascularization for
patients who received RA relative to CON-SV[24]. Conversely, the Arterial Revascularization Trial (ART)
did not find a difference in survival and event-free survival at 10 years among
patients randomized to receive RITA[25]. However, the ART trial is criticized for its high crossover
between single and bilateral internal thoracic artery (BITA) groups and confounding
from RA use, which may have diminished the clinical benefit of RITA. In an
as-treated analysis of the ART trial, non-randomized data showed a meaningful
difference in mortality in favor of multiple arterial grafts. The merit of multiple
vs. single arterial grafting in improving cardiovascular events
and death in patients after CABG is currently being investigated in the ROMA trial
(Randomized Comparison of the Outcome of Single versus Multiple Arterial Grafts.
ClinicalTrials.gov registration number: 1703018094)[26].
The use of RA received a Class I indication and is preferred to saphenous vein as the
second most important conduit for a significantly stenosed, non-LAD vessel in the
2021 American revascularization guidelines[22]. Although RA is a versatile graft, calcium channel
blockers are routine adjuncts to prevent vasospasm. RA should only be used to bypass
severely stenotic target vessels due to the risk of string sign in the setting of
competitive flow.
These findings challenge the previously accepted belief that RITA is the natural
second conduit of choice due to its biophysiological similarity with LITA. The
explanation is multifactorial. Firstly, there are less randomized evidence regarding
RITA and CON-SV when compared to RA and CON-SV (three trials including a total of
353 patients for RITA, seven trials including a total of 841 patients for RA).
Secondly, the RAPCO trial used RITA as a free graft, which may affect graft patency.
Thirdly, BITA surgery is more technically challenging than using RA and LITA, with
successful application of RITA reliant on surgeon experience. This may partly
explain the 14% crossover from BITA to the single internal thoracic artery in the
ART trial[25]. Even though the ART
trial recruited surgeons with over 50 BITA cases of experience, there was still a
wide variation of intraoperative BITA conversion rates across surgeons, which
highlights the technical demand of successful BITA grafting[27].
There were no differences in late mortality for any of the second conduits, including
RA, compared to the control saphenous vein graft. The association between graft
patency and survival is biologically sound and demonstrated by the five-year results
of the RADIAL database, where there is a concordant association between improved
patency of RA compared to the control saphenous vein and reduction of myocardial
infarction and repeat revascularization[28]. These results are further substantiated in the RADIAL
10-year extension study’s post-hoc analysis for survival[24]. In the NMA and pairwise comparisons, survival in
RA patients was greater than in RITA patients, but it did not cross the threshold
for statistical significance (95% CI of 1.00). The data for RA vs.
GEA comparison was limited.
In the previous NMA, RA was ranked as the best conduit[4]. In this updated NMA, the introduction of five
additional trials has led NT-SV to achieve a higher patency ranking than RA, albeit
by a very small margin. Of the five RCTs, three investigated NT-SV and CON-SV
(n=2,805)[3,8,9], one
compared RA and CON-SV (n=50)[10],
and one assessed RITA and RA (n=224)[6]. The increased sample size in NT-SV and CON-SV enhanced the
power of analysis in favor of NT-SV. Many of the newly added trials reported
early-term results, which likely inflated pooled saphenous vein patency and
decreased the weighted mean follow-up time of the NMA from 5.1 to 3.5 years. In
keeping with the 2021 NMA findings[4], no conduit provided a statistically significant mortality
benefit over CON-SV. Meta-regression for IRR of graft occlusion continued to suggest
a positive association with off-pump CABG use (i.e., increased
graft occlusion) and inverse association with increased proportion of female
patients (i.e., decreased graft occlusion)[4].
Limitations
Limitations of this meta-analysis included a small sample size causing certain
pairwise analyses to be underpowered, varying quality of the RCTs included, and
no data collected on renal disease, secondary prevention, and antispasmodic
therapy, which are additional factors that influence graft patency. It is
worthwhile to note that the included studies involving NT-SV grafts used pedicle
harvest technique with[8,19,21] or without manual dilatation with a syringe[3,5,9,13,14].
The factorial trial by Angelini et al. involving CON-SV vs.
NT-SV and low- vs. high-pressure graft dilation reported that
low-pressure distention of CON-SV can achieve wall thickening comparable to
NT-SV[8].
CONCLUSION
In this NMA of 18 angiographic RCTs, the current randomized evidence shows
significantly better patency rates for RA and NT-SV compared with CON-SV, while all
conduits were associated with similar rates of late mortality compared with CON-SV.
NT-SV and RA were identified as the second best conduits using data from this NMA of
angiographic trials.
| Authors’ Roles &
Responsibilities |
| MXD | Substantial contributions to the
conception or design of the work; or the acquisition, analysis, or
interpretation of data for the work; drafting the work or revising
it critically for important intellectual content |
| HL | Substantial contributions to the
conception or design of the work; or the acquisition, analysis, or
interpretation of data for the work |
| GL | Substantial contributions to the
conception or design of the work; or the acquisition, analysis, or
interpretation of data for the work |
| MR | Substantial contributions to the
conception or design of the work; or the acquisition, analysis, or
interpretation of data for the work |
| ADF | Substantial contributions to the
conception or design of the work; or the acquisition, analysis, or
interpretation of data for the work |
| MD | Substantial contributions to the
conception or design of the work; or the acquisition, analysis, or
interpretation of data for the work |
| GDA | Substantial contributions to the
conception or design of the work; or the acquisition, analysis, or
interpretation of data for the work |
| MG | Substantial contributions to the
conception or design of the work; or the acquisition, analysis, or
interpretation of data for the work |
| SEF | Substantial contributions to the
conception or design of the work; or the acquisition, analysis, or
interpretation of data for the work; drafting the work or revising
it critically for important intellectual content; agreement to be
accountable for all aspects of the work in ensuring that questions
related to the accuracy or integrity of any part of the work are
appropriately investigated and resolved; final approval of the
version to be published |
ACKNOWLEDGEMENTS
We would like to thank Dr. Angelini, Dr. Chris Rogers, and Dr. Rebecca Evans for
allowing us to include supplementary data[8] in this NMA.
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Notes
No financial support.
Author notes
This study was carried out at Schulich Heart Centre, Department of Surgery,
Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Correspondence Address: Stephen E. Fremes, https://orcid.org/0000-0003-1723-3049 University of Toronto,
Schulich Heart Centre, Sunnybrook Health Sciences Centre, 2075 Bayview Ave.,
Room H4 05, Toronto, ON, M4N 3M5, Canada, E-mail:
stephen.fremes@sunnybrook.ca
Conflict of interest declaration
Conflict of interest: Dr. Di Franco has consulted for Servier and is an
Advisory Board Member for Scharper.