Evidence map›Paper›PMID 38426431›Full record

ArticleBrazilian journal of cardiovascular surgery2024

Difference Between Cardiopulmonary Bypass Time and Aortic Cross-Clamping Time as a Predictor of Complications After Coronary Artery Bypass Grafting.

Fabiano Gonçalves Jucá, Fabiane Letícia de Freitas, Maxim Goncharov, Daniella de Lima Pes, Maria Eduarda Coimbra Jucá, Luis Roberto Palma Dallan, Luiz Augusto Ferreira Lisboa, Fábio B Jatene, Omar Asdrúbal Vilca Mejia

Open access · diamondAbstract read
In one paragraph

Article in Brazilian journal of cardiovascular surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 9 citations in OpenAlex.

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  9. The Ticking Surgical Clock: Outcome, Predictor, or a Bit of Both?Brazilian journal of cardiovascular surgery · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Fabiano Gonçalves JucáDepartment of Cardiovascular Surgery, Hospital de Messejana Dr. Carlos Alberto Studart Gomes, Fortaleza, Ceará, Brazil.
Fabiane Letícia de FreitasDepartment of Cardiovascular Surgery, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, São Paulo, Brazil.
Maxim GoncharovInstituto de Pesquisa Hcor, Hospital do Coração, São Paulo, São Paulo, Brazil.
Daniella de Lima PesDepartment of Cardiovascular Surgery, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, São Paulo, Brazil.
Maria Eduarda Coimbra JucáFaculdade de Medicina, Unichristus, Fortaleza, Ceará, Brazil.
Luis Roberto Palma DallanDepartment of Cardiovascular Surgery, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, São Paulo, Brazil.
Luiz Augusto Ferreira LisboaDepartment of Cardiovascular Surgery, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, São Paulo, Brazil.
Fábio B JateneDepartment of Cardiovascular Surgery, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, São Paulo, Brazil.
Omar Asdrúbal Vilca MejiaDepartment of Cardiovascular Surgery, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, São Paulo, Brazil.
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRHospital de Messejana · BRHospital do Coração · BRUnichristus · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlong with cardiopulmonary bypass time, aortic cross-clamping time is directly related to the risk of complications after heart surgery. The influence of the time difference between cardiopulmonary bypass and cross-clamping times (TDC-C) remains poorly understood.

objectiveTo assess the impact of cardiopulmonary bypass time in relation to cross-clamping time on immediate results after coronary artery bypass grafting in the Registro Paulista de Cirurgia Cardiovascular (REPLICCAR) II.

methodsAnalysis of 3,090 patients included in REPLICCAR II database was performed. The Society of Thoracic Surgeons outcomes were evaluated (mortality, kidney failure, deep wound infection, reoperation, cerebrovascular accident, and prolonged ventilation time). A cutoff point was adopted, from which the increase of this difference would affect each outcome.

resultsAfter a cutoff point determination, all patients were divided into Group 1 (cardiopulmonary bypass time < 140 min., TDC-C < 30 min.), Group 2 (cardiopulmonary bypass time < 140 min., TDC-C > 30 min.), Group 3 (cardiopulmonary bypass time > 140 min., TDC-C < 30 min.), and Group 4 (cardiopulmonary bypass time > 140 min., TDC-C > 30 min.). After univariate logistic regression, Group 2 showed significant association with reoperation (odds ratio: 1.64, 95% confidence interval: 1.01-2.66), stroke (odds ratio: 3.85, 95% confidence interval: 1.99-7.63), kidney failure (odds ratio: 1.90, 95% confidence interval: 1.32-2.74), and in-hospital mortality (odds ratio: 2.17, 95% confidence interval: 1.30-3.60).

conclusionTDC-C serves as a predictive factor for complications following coronary artery bypass grafting. We strongly recommend that future studies incorporate this metric to improve the prediction of complications.

Indexed as

Cardiopulmonary BypassRenal InsufficiencyConstrictionCoronary Artery BypassHumansPostoperative ComplicationsRetrospective StudiesRisk FactorsTreatment OutcomeCardiopulmonary BypassCoronary Artery BypassReoperationRisk AssessmentSeverity of Illness IndexTreatment Outcome

Identifiers

PMID38426431
PMCPMC10903005
OpenAlexW4394767883

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.