Evidence map›Paper›PMID 27354068›Full record

ArticleBMJ open2016

Comparison of contemporary preoperative risk models at predicting acute kidney injury after isolated coronary artery bypass grafting: a retrospective cohort study.

Shao-Wei Chen, Chih-Hsiang Chang, Pei-Chun Fan, Yung-Chang Chen, Pao-Hsien Chu, Tien-Hsing Chen, Victor Chien-Chia Wu, Su-Wei Chang, Pyng-Jing Lin, Feng-Chun Tsai

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PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

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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

10 authors.

Shao-Wei ChenDepartment of Cardiothoracic and Vascular Surgery, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
Chih-Hsiang ChangGraduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan Department of Nephrology, Kidney Research Center, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan.
Pei-Chun FanGraduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan Department of Nephrology, Kidney Research Center, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan.
Yung-Chang ChenDepartment of Nephrology, Kidney Research Center, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan.
Pao-Hsien ChuDepartment of Cardiology, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan.
Tien-Hsing ChenDepartment of Cardiology, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan.
Victor Chien-Chia WuDepartment of Cardiology, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan.
Su-Wei ChangClinical Informatics and Medical Statistics Research Center, Taoyuan, Taiwan.
Pyng-Jing LinDepartment of Cardiothoracic and Vascular Surgery, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan.
Feng-Chun TsaiDepartment of Cardiothoracic and Vascular Surgery, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAcute kidney injury (AKI) after coronary artery bypass grafting (CABG) is associated with short-term and long-term adverse outcomes. The European System for Cardiac Operative Risk Evaluation (EuroSCORE), EuroSCORE II, the Society of Thoracic Surgeons (STS) score and Age, Creatinine and Ejection Fraction (ACEF) score, have been widely used for predicting the operative risk of cardiac surgery. The aim of this study is to investigate the discriminant ability among current available models in predicting postoperative AKI.

methodsFrom January 2010 to December 2012, 353 patients who underwent isolated CABG were enrolled. The clinical characteristics, outcomes and scores of prognostic models were collected. The primary outcome was postoperative AKI, defined based on the Kidney Disease Improving Global Outcome (KDIGO) Clinical Practice Guideline for AKI, in 2012.

results102 patients (28.9%) developed postoperative AKI. For AKI prediction, EuroSCORE II, STS score and ACEF score were all good tools for stage-3 AKI. The ACEF score was shown to have satisfied discriminant ability to predict postoperative AKI with area under a receiver operating characteristic curve: 0.781±0.027, (95% CI 0.729 to 0.834, p value <0.001). Multivariate logistic analysis identified that lower ejection fraction and higher serum creatinine were independent risk factors for AKI.

conclusionsThe simple and extremely user-friendly ACEF score can accurately identify the risk of postoperative AKI and has shown satisfactory discriminant ability when compared with other systems. The ACEF score might be the easiest tool for predicting postoperative AKI.

Indexed as

Models, TheoreticalAcute Kidney InjuryAgedCoronary Artery BypassCoronary Artery DiseaseCreatinineFemaleHumansKidney Function TestsLogistic ModelsMaleMiddle AgedMultivariate AnalysisPostoperative ComplicationsPrognosisRetrospective StudiesCreatinineacute kidney injuryCoronary artery bypass graftingcoronary artery disease

Identifiers

PMID27354068
PMCPMC4932284

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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.