Evidence map›Paper›PMID 34045629›Full record

ArticleScientific reports2021

A validation study comparing existing prediction models of acute kidney injury in patients with acute heart failure.

Tao Han Lee, Pei-Chun Fan, Jia-Jin Chen, Victor Chien-Chia Wu, Cheng-Chia Lee, Chieh-Li Yen, George Kuo, Hsiang-Hao Hsu, Ya-Chung Tian, Chih-Hsiang Chang

Open access · goldAbstract readComparative StudyValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 6 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

10 authors at 2 institutions in 1 country.

Tao Han LeeKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Linkou branch, No. 5, Fuxing Street, Guishan Dist., Taoyuan City, 33305, Taiwan ROC.
Pei-Chun FanKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Linkou branch, No. 5, Fuxing Street, Guishan Dist., Taoyuan City, 33305, Taiwan ROC.
Jia-Jin ChenKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Linkou branch, No. 5, Fuxing Street, Guishan Dist., Taoyuan City, 33305, Taiwan ROC.
Victor Chien-Chia WuDivision of Cardiology, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan ROC.
Cheng-Chia LeeKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Linkou branch, No. 5, Fuxing Street, Guishan Dist., Taoyuan City, 33305, Taiwan ROC.
Chieh-Li YenKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Linkou branch, No. 5, Fuxing Street, Guishan Dist., Taoyuan City, 33305, Taiwan ROC.
George KuoKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Linkou branch, No. 5, Fuxing Street, Guishan Dist., Taoyuan City, 33305, Taiwan ROC.
Hsiang-Hao HsuKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Linkou branch, No. 5, Fuxing Street, Guishan Dist., Taoyuan City, 33305, Taiwan ROC.
Ya-Chung TianKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Linkou branch, No. 5, Fuxing Street, Guishan Dist., Taoyuan City, 33305, Taiwan ROC.
Chih-Hsiang ChangKidney Research Center, Department of Nephrology, Chang Gung Memorial Hospital, Linkou branch, No. 5, Fuxing Street, Guishan Dist., Taoyuan City, 33305, Taiwan ROC. franwisandsun@gmail.com.
Chang Gung Memorial Hospital · TWChang Gung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI) is a common complication in acute heart failure (AHF) and is associated with prolonged hospitalization and increased mortality. The aim of this study was to externally validate existing prediction models of AKI in patients with AHF. Data for 10,364 patients hospitalized for acute heart failure between 2008 and 2018 were extracted from the Chang Gung Research Database and analysed. The primary outcome of interest was AKI, defined according to the KDIGO definition. The area under the receiver operating characteristic (AUC) curve was used to assess the discrimination performance of each prediction model. Five existing prediction models were externally validated, and the Forman risk score and the prediction model reported by Wang et al. showed the most favourable discrimination and calibration performance. The Forman risk score had AUCs for discriminating AKI, AKI stage 3, and dialysis within 7 days of 0.696, 0.829, and 0.817, respectively. The Wang et al. model had AUCs for discriminating AKI, AKI stage 3, and dialysis within 7 days of 0.73, 0.858, and 0.845, respectively. The Forman risk score and the Wang et al. prediction model are simple and accurate tools for predicting AKI in patients with AHF.

Indexed as

Models, TheoreticalAcute Kidney InjuryAgedAged, 80 and overFemaleHeart FailureHumansMaleMiddle AgedRenal DialysisRetrospective StudiesRisk AssessmentTime Factors

Identifiers

PMID34045629
PMCPMC8159983
OpenAlexW3165045360

What OpenQuestion holds

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Registered trials

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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.