Evidence map›Paper›PMID 30107786›Full record

ArticleBMC cardiovascular disorders2018

Role of elevated red cell distribution width on acute kidney injury patients after cardiac surgery.

Zhouping Zou, Yamin Zhuang, Lan Liu, Bo Shen, Jiarui Xu, Wuhua Jiang, Zhe Luo, Jie Teng, Chunsheng Wang, Xiaoqiang Ding

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC cardiovascular disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

18 citing papers in PubMed, 23 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 1 institution in 1 country.

Zhouping ZouDepartment of Nephrology, Zhongshan Hospital, Shanghai Medical College, Fudan University, No 180 Fenglin Road, Shanghai, 200032, China.
Yamin ZhuangDepartment of Critical Care Medicine, Zhongshan Hospital, Shanghai Medical College, Fudan University, No 180 Fenglin Road, Shanghai, 200032, China.
Lan LiuDepartment of Critical Care Medicine, Zhongshan Hospital, Shanghai Medical College, Fudan University, No 180 Fenglin Road, Shanghai, 200032, China.
Bo ShenDepartment of Nephrology, Zhongshan Hospital, Shanghai Medical College, Fudan University, No 180 Fenglin Road, Shanghai, 200032, China.
Jiarui XuDepartment of Nephrology, Zhongshan Hospital, Shanghai Medical College, Fudan University, No 180 Fenglin Road, Shanghai, 200032, China.
Wuhua JiangDepartment of Nephrology, Zhongshan Hospital, Shanghai Medical College, Fudan University, No 180 Fenglin Road, Shanghai, 200032, China.
Zhe LuoDepartment of Critical Care Medicine, Zhongshan Hospital, Shanghai Medical College, Fudan University, No 180 Fenglin Road, Shanghai, 200032, China.
Jie TengDepartment of Nephrology, Zhongshan Hospital, Shanghai Medical College, Fudan University, No 180 Fenglin Road, Shanghai, 200032, China. teng.jie@zs-hospital.sh.cn.ORCID 0000-0003-3241-5705
Chunsheng WangDepartment of Cardiovascular Surgery, Zhongshan Hospital, Shanghai Medical College, Fudan University, No 180 Fenglin Road, Shanghai, 200032, China.
Xiaoqiang DingDepartment of Nephrology, Zhongshan Hospital, Shanghai Medical College, Fudan University, No 180 Fenglin Road, Shanghai, 200032, China. ding.xiaoqiang@zs-hospital.sh.cn.
Shanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of the study was to explore associations between elevated red cell distribution width (RDW) and acute kidney injury (AKI) in patients undergoing cardiac surgery (CS-AKI).

methodsPreoperative, intraoperative and postoperative data of 10,274 patients undergoing cardiac surgery, including demographic data, were prospectively collected from January 2009 to December 2014. Propensity score matching was used on the basis of clinical characteristics and preoperative variables. An elevated RDW was defined as the difference between RDW 24 h after cardiac surgery and the latest RDW before cardiac surgery.

resultsA total of 10,274 patients were included in the unmatched cohort, and 3146 patients in the propensity-matched cohort. In the unmatched cohort, the overall CS-AKI incidence was 32.8% (n = 3365) with a hospital mortality of 5.5% (n = 185). In the propensity-matched cohort, the elevated RDW in AKI patients was higher than in patients without AKI (0.3% (0.0%, 0.7%) vs 0.5% (0.1, 1.1%), P <  0.001) and the elevated RDW incidences were 0.4% (0.1%, 0.9%), 0.6% (0.2%, 1.1%) and 1.1% (0.3%, 2.1%) in stage 1, 2 and 3 AKI patients (P <  0.001). Among propensity-matched patients with CS-AKI, the level of elevated RDW in non-survivors was higher than in survivors [1.2% (0.5%, 2.3%) vs 0.5% (0.1%, 1.0%), P <  0.001] and a 0.1% increase in elevated RDW was associated with a 0.24% higher risk of within-hospital mortality in patients with CS-AKI. Estimating the receiver-operating characteristic (ROC) area under the curve (AUC) showed that an elevated RDW had moderate discriminative power for AKI development (AUC = 0.605, 95% CI, 0.586-0.625; P <  0.001) and hospital mortality (AUC = 0.716, 95% CI, 0.640-0.764; P <  0.001) in the propensity-matched cohort.

conclusionsAn elevated RDW might be an independent prognostic factor for the severity and poor prognosis of CS-AKI.

Indexed as

Erythrocyte IndicesAcute Kidney InjuryAdultAgedCardiac Surgical ProceduresChinaFemaleHospital MortalityHumansIncidenceMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentRisk FactorsAcute kidney injuryCardiac surgeryPrognosisRed cell distribution width

Identifiers

PMID30107786
PMCPMC6092813
OpenAlexW2887525813

What OpenQuestion holds

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LicenceCC BY
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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.