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Record W4410211613 · doi:10.1155/jocs/2709364

Meta‐Analysis on Coronary Artery Bypass Grafting With Single Versus Bilateral Internal Mammary Artery Grafts in Patients With End‐Stage Renal Disease

2025· article· en· W4410211613 on OpenAlexaff
Giorgio Mastroiacovo, Aliya Izumi, Daniele Fileccia, Yasuhiko Kawaguchi, Bobby Yanagawa, Fausto Biancari, Sergio Pirola, Nicolò Capra, Gianluca Polvani

Bibliographic record

VenueJournal of Cardiac Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac and Coronary Surgery Techniques
Canadian institutionsSt. Michael's HospitalUniversity of Toronto
FundersMinistero della Salute
KeywordsMedicineBypass graftingEnd stage renal diseaseMammary arteryCoronary artery diseaseArteryCardiologyInternal medicineStage (stratigraphy)SurgeryGraftingDisease

Abstract

fetched live from OpenAlex

Patients with end‐stage renal disease (ESRD) and concomitant coronary artery disease (CAD) present unique challenges for coronary revascularization. While coronary artery bypass grafting (CABG) is recommended over percutaneous coronary intervention in this population, the optimal surgical strategy remains controversial. This meta‐analysis provides an updated comparison of outcomes for ESRD patients undergoing CABG with either bilateral internal thoracic artery (BITA) or single internal thoracic artery (SITA) grafting. A total of nine studies involving 911 patients were included. Our findings revealed no significant differences in perioperative mortality ( p = 0.57), deep sternal wound infection ( p = 0.41), or major adverse cardiac and cerebrovascular events ( p = 0.54) between groups. Long‐term survival rates were also comparable at one, three, five, and seven years postoperatively. The pooled hazard ratio for all‐cause mortality was 0.82 (95% CI: 0.61–1.12; p = 0.21), indicating no explicit survival advantage for either grafting strategy. These results are consistent with existing literature and suggest that both BITA and SITA grafting are safe and effective in this high‐risk group. As medical advances continue to extend the life expectancy of patients with ESRD, additional research focused on optimizing the management of ESRD‐related CAD will be essential to improving perioperative and long‐term outcomes for these high‐risk patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.248
Teacher spread0.228 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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