Radial Artery Versus Right Internal Thoracic Artery Versus Saphenous Vein as the Second Conduit for Coronary Artery Bypass Surgery: A Network Meta‐Analysis of Clinical Outcomes
Bibliographic record
Abstract
Background There remains uncertainty regarding the second-best conduit after the internal thoracic artery in coronary artery bypass grafting. Few studies directly compared the clinical results of the radial artery ( RA ), right internal thoracic artery ( RITA ), and saphenous vein ( SV ). No network meta-analysis has compared these 3 strategies. Methods and Results MEDLINE and EMBASE were searched for adjusted observational studies and randomized controlled trials comparing the RA , SV , and/or RITA as the second conduit for coronary artery bypass grafting. The primary end point was all-cause long-term mortality. Secondary end points were operative mortality, perioperative stroke, perioperative myocardial infarction, and deep sternal wound infection ( DSWI ). Pairwise and network meta-analyses were performed. A total of 149 902 patients (4 randomized, 31 observational studies) were included ( RA , 16 201, SV , 112 018, RITA, 21 683). At NMA , the use of SV was associated with higher long-term mortality compared with the RA (incidence rate ratio, 1.23; 95% CI , 1.12-1.34) and RITA (incidence rate ratio, 1.26; 95% CI , 1.17-1.35). The risk of DSWI for SV was similar to RA but lower than RITA (odds ratio, 0.71; 95% CI , 0.55-0.91). There were no differences for any outcome between RITA and RA , although DSWI trended higher with RITA (odds ratio, 1.39; 95% CI , 0.92-2.1). The risk of DSWI in bilateral internal thoracic artery studies was higher when the skeletonization technique was not used. Conclusions The use of the RA or the RITA is associated with a similar and statistically significant long-term clinical benefit compared with the SV . There are no differences in operative risk or complications between the 2 arterial conduits, but DSWI remains a concern with bilateral ITA when skeletonization is not used.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.012 | 0.022 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".