Evidence map›Paper›PMID 32268348›Full record

ArticlePloS one2020

Acute kidney disease stage predicts outcome of patients on extracorporeal membrane oxygenation support.

Cheng-Kai Hsu, I-Wen Wu, Yih-Ting Chen, Tsung-Yu Tsai, Feng-Chun Tsai, Ji-Tseng Fang, Yung-Chang Chen

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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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

15 citing papers in PubMed.

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  15. Acute Kidney Injury and Kidney Damage in COVID-19 Patients.Journal of Korean medical science · 2020
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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

7 authors.

Cheng-Kai HsuDepartment of Nephrology, Chang Gung Memorial Hospital, Keelung, Taiwan.ORCID 0000-0002-6812-526X
I-Wen WuDepartment of Nephrology, Chang Gung Memorial Hospital, Keelung, Taiwan.
Yih-Ting ChenDepartment of Nephrology, Chang Gung Memorial Hospital, Keelung, Taiwan.
Tsung-Yu TsaiDepartment of Nephrology, Chang Gung Memorial Hospital, Linkou, Taiwan.
Feng-Chun TsaiCollege of Medicine, Chang Gung University, Taoyuan, Taiwan.
Ji-Tseng FangCollege of Medicine, Chang Gung University, Taoyuan, Taiwan.
Yung-Chang ChenDepartment of Nephrology, Chang Gung Memorial Hospital, Keelung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mortality rate of patients on extracorporeal membrane oxygenation (ECMO), especially those patients that develop acute kidney injury (AKI) is high. Acute kidney disease (AKD) is a term used to describe the continuum from AKI to chronic kidney disease. However, the role of AKD in predicting the prognosis of patients on ECMO support is unclear.

methodsA total of 168 patients who received ECMO support and survived for more than 7 days at a single hospital from 2003 to 2008 were enrolled for this study and followed up for 10 years or till mortality. Kaplan-Meier analysis and Cox proportional hazards model were used to determine the prognostic factors associated with survival.

resultsThe median survival times of patients with stage 0, stage 1, stage 2 and stage 3 AKD were ≥ 10 years, 43.9 months, 1 month, and half a month, respectively. There were statistically significant differences in cumulative survival rate between patients with stage 3 AKD and those with stage 0, 1, and 2 AKD (Cox-Mantel log rank test, p<0.001, p<0.001, p = 0.023), and between patients with stage 0 AKD and those with stage 1 and 2 AKD (Cox-Mantel log rank test, p = 0.012, p<0.001). Cox regression analysis revealed that AKD stage (hazard ratio [HR]: 2.576, 95% confidential interval [CI]: 1.268-5.234, p = 0.009 for stage 1; HR: 2.349; 95% CI: 1.101-5.512, p = 0.029 for stage 2; HR: 5.252; 95% CI: 2.715-10.163, p<0.001 for stage 3) was significant independent predictor of survival.

conclusionAKD stage is an independent predictor of survival in patients on ECMO support.

Indexed as

Acute Kidney InjuryExtracorporeal Membrane OxygenationFemaleHospital MortalityHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisRegression AnalysisRetrospective StudiesRisk FactorsSurvival Rate

Identifiers

PMID32268348
PMCPMC7141841

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