Evidence map›Paper›PMID 26560473›Full record

ArticleInternational urology and nephrology2016

A comparison of RIFLE, AKIN, KDIGO, and Cys-C criteria for the definition of acute kidney injury in critically ill patients.

Jiaojiao Zhou, Yun Liu, Yi Tang, Fang Liu, Ling Zhang, Xiaoxi Zeng, Yuying Feng, Ye Tao, Lichuan Yang, Ping Fu

Abstract readComparative StudyMulticenter Study
PubMed Publisher
In one paragraph

Article in International urology and nephrology, 2016. 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
–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

10 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.

Jiaojiao ZhouDivision of Nephrology, Kidney Research Institute, West China Biostatistics and Cost-Benefit Analysis Center, West China Hospital of Sichuan University, Chengdu, 610041, People's Republic of China.
Yun LiuDivision of Nephrology, Chengdu Integrated TCM and Western Medicine Hospital, Chengdu First People's Hospital, Chengdu, Sichuan, China.
Yi TangDivision of Nephrology, Kidney Research Institute, West China Biostatistics and Cost-Benefit Analysis Center, West China Hospital of Sichuan University, Chengdu, 610041, People's Republic of China.
Fang LiuDivision of Nephrology, Kidney Research Institute, West China Biostatistics and Cost-Benefit Analysis Center, West China Hospital of Sichuan University, Chengdu, 610041, People's Republic of China.
Ling ZhangDivision of Nephrology, Kidney Research Institute, West China Biostatistics and Cost-Benefit Analysis Center, West China Hospital of Sichuan University, Chengdu, 610041, People's Republic of China.
Xiaoxi ZengDivision of Nephrology, Kidney Research Institute, West China Biostatistics and Cost-Benefit Analysis Center, West China Hospital of Sichuan University, Chengdu, 610041, People's Republic of China.
Yuying FengDivision of Nephrology, Kidney Research Institute, West China Biostatistics and Cost-Benefit Analysis Center, West China Hospital of Sichuan University, Chengdu, 610041, People's Republic of China.
Ye TaoDivision of Nephrology, Kidney Research Institute, West China Biostatistics and Cost-Benefit Analysis Center, West China Hospital of Sichuan University, Chengdu, 610041, People's Republic of China.
Lichuan YangDivision of Nephrology, Kidney Research Institute, West China Biostatistics and Cost-Benefit Analysis Center, West China Hospital of Sichuan University, Chengdu, 610041, People's Republic of China. ylcgh@163.com.
Ping FuDivision of Nephrology, Kidney Research Institute, West China Biostatistics and Cost-Benefit Analysis Center, West China Hospital of Sichuan University, Chengdu, 610041, People's Republic of China. fupinghx@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAKI is a major clinical problem and predictor of prognosis in critically ill patients. The aim of our study was to determine whether the new Cys-C criteria for identification and prognosis of AKI were superior to the RIFLE, AKIN, and KDIGO criteria.

methodsIn the retrospective and multicenter study, the incidence of AKI was identified by the four criteria. Receiver operating characteristic (ROC) curve was applied to compare the predictive ability for 28-day mortality, and logistic regression analysis was used for the calculation of odds ratios and 95 % confidence intervals.

resultsIn the 1036 patients enrolled, the incidences of AKI were 26.4, 34.1, 37.8, and 36.1 %, respectively, under the four criteria. Patients with AKI had higher mortality and longer length of stay than those without in all definitions. Concordance in AKI diagnosis between Cys-C and KDIGO criteria was 95.9 %, higher than AKIN and RIFLE criteria (p < 0.0001). The area under ROC curves was 0.7023 for Cys-C criteria, which was a significantly greater discrimination (p < 0.05).

conclusionKDIGO criteria identified significantly more AKI and AKI patients had significantly higher 28-day mortality than patients without AKI. The Cys-C criteria were more predictive for short-term outcomes than other three criteria among critically ill patients.

Indexed as

Acute Kidney InjuryCritical IllnessEarly DiagnosisFemaleHospital MortalityHumansIncidenceMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesAcute kidney injuryCystatin CIntensive care unit

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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.