Evidence map›Paper›PMID 31064409›Full record

ArticleJournal of cardiothoracic surgery2019

Cardiopulmonary bypass time is an independent risk factor for acute kidney injury in emergent thoracic aortic surgery: a retrospective cohort study.

Shijun Xu, Jie Liu, Lei Li, Zining Wu, Jiachen Li, Yongmin Liu, Junming Zhu, Lizhong Sun, Xinliang Guan, Ming Gong and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 80 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Shijun XuDepartment of Cardiac Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing Lab for Cardiovascular Precision Medicine, and Beijing Engineering Research Center of Vascular Prostheses, No.2 Anzhen Street, Beijing, 100029, China.
Jie LiuDepartment of Vascular and Endovascular Surgery, Chinese PLA General Hospital, Beijing, 100853, China.
Lei LiDepartment of Cardiac Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing Lab for Cardiovascular Precision Medicine, and Beijing Engineering Research Center of Vascular Prostheses, No.2 Anzhen Street, Beijing, 100029, China.
Zining WuDepartment of Cardiac Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing Lab for Cardiovascular Precision Medicine, and Beijing Engineering Research Center of Vascular Prostheses, No.2 Anzhen Street, Beijing, 100029, China.
Jiachen LiDepartment of Cardiac Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing Lab for Cardiovascular Precision Medicine, and Beijing Engineering Research Center of Vascular Prostheses, No.2 Anzhen Street, Beijing, 100029, China.
Yongmin LiuDepartment of Cardiac Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing Lab for Cardiovascular Precision Medicine, and Beijing Engineering Research Center of Vascular Prostheses, No.2 Anzhen Street, Beijing, 100029, China.
Junming ZhuDepartment of Cardiac Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing Lab for Cardiovascular Precision Medicine, and Beijing Engineering Research Center of Vascular Prostheses, No.2 Anzhen Street, Beijing, 100029, China.
Lizhong SunDepartment of Cardiac Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing Lab for Cardiovascular Precision Medicine, and Beijing Engineering Research Center of Vascular Prostheses, No.2 Anzhen Street, Beijing, 100029, China.
Xinliang GuanDepartment of Cardiac Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing Lab for Cardiovascular Precision Medicine, and Beijing Engineering Research Center of Vascular Prostheses, No.2 Anzhen Street, Beijing, 100029, China. guanxl119@sina.com.
Ming GongDepartment of Cardiac Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing Lab for Cardiovascular Precision Medicine, and Beijing Engineering Research Center of Vascular Prostheses, No.2 Anzhen Street, Beijing, 100029, China. gongmaster@126.com.
Hongjia ZhangDepartment of Cardiac Surgery, Beijing Aortic Disease Center, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing Lab for Cardiovascular Precision Medicine, and Beijing Engineering Research Center of Vascular Prostheses, No.2 Anzhen Street, Beijing, 100029, China. zhanghongjia722@ccmu.edu.cn.
Beijing Anzhen Hospital · CNCapital Medical University · CNChinese PLA General Hospital · CN

Funding

Beijing Municipal Administration of Hospitals' Youth Program QML20170602National Key R&D Program of China 2017YFC1308000the Beijing Lab for Cardiovascular Precision Medicine, Beijing, China PXM2017_014226_000037The Capital Health Research and Development of Special 2018-2-2-66the National Science Foundation of China 81600362
6 · The paper itself

Abstract

backgroundThoracic aortic surgery and cardiopulmonary bypass are both associated with development of postoperative acute kidney injury. In this study, we undertook to investigate the relationship between cardiopulmonary bypass time and postoperative acute kidney injury in patients undergoing thoracic aortic surgery for acute DeBakey Type I aortic dissection.

methodsAll patients receiving thoracic aortic surgery for acute DeBakey Type I aortic dissection in Beijing Anzhen hospital from December 2015 to April 2017 were included. Cardiopulmonary bypass time was recorded during surgery. Acute kidney injury was defined based on the Kidney Disease Improving Global Outcomes criteria. A total of 115 consecutive patients were eventually analyzed.

resultsThe overall incidence of acute kidney injury was 53.0% (n = 61). The average age was 47.8 ± 10.7 years; 74.8% were male. Mean cardiopulmonary bypass time was 211 ± 56 min. In-hospital mortality was 7.8%. Multivariate logistic regression revealed that cardiopulmonary bypass time was independently associated with the occurrence of postoperative acute kidney injury after adjust confounding factors (odds ratio = 1.171; 95% confidence interval: 1.002-1.368; P = 0.047).

conclusionsCardiopulmonary bypass time is independently associated with an increased hazard of acute kidney injury after thoracic aortic surgery for acute DeBakey Type I aortic dissection. Further understanding of the mechanism of this association is crucial to the design of preventative strategies.

Indexed as

Acute Kidney InjuryAdultAorta, ThoracicAortic Aneurysm, ThoracicAortic DissectionCardiopulmonary BypassFemaleHospital MortalityHumansMaleMiddle AgedRetrospective StudiesRisk FactorsThoracic Surgical ProceduresTime FactorsTreatment OutcomeAcute kidney injuryAortic dissectionCardiopulmonary bypassRisk factorThoracic aortic surgery

Identifiers

PMID31064409
PMCPMC6505293
OpenAlexW2947917093

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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.