Evidence map›Paper›PMID 41593540›Full record

ArticleBMC nephrology2026

An online dynamic nomogram for predicting acute kidney injury after endovascular therapy in acute ischemic stroke.

Kaiwei Cai, Hongyu Qiao, Ka Lung Chan, Qihuan Liu, Li'an Huang, Yusheng Zhang, Min Guan, Bing Yang, Anding Xu, Jun Lyu and 1 more

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Kaiwei Cai *Department of Neurology & Stroke Center, Key Lab of Basic and Translational Research of Pan-vascular Diseases, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Hongyu Qiao *Department of Neurology & Stroke Center, Key Lab of Basic and Translational Research of Pan-vascular Diseases, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Ka Lung Chan *Department of Neurology, Neuromedicine Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Qihuan Liu *Department of Neurology & Stroke Center, Key Lab of Basic and Translational Research of Pan-vascular Diseases, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Li'an HuangDepartment of Neurology & Stroke Center, Key Lab of Basic and Translational Research of Pan-vascular Diseases, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Yusheng ZhangDepartment of Neurology & Stroke Center, Key Lab of Basic and Translational Research of Pan-vascular Diseases, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Min GuanDepartment of Neurology & Stroke Center, Key Lab of Basic and Translational Research of Pan-vascular Diseases, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Bing YangDepartment of Neurology & Stroke Center, Key Lab of Basic and Translational Research of Pan-vascular Diseases, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
Anding Xu *Department of Neurology & Stroke Center, Key Lab of Basic and Translational Research of Pan-vascular Diseases, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China. tlil@jnu.edu.cn.
Jun Lyu *Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China. lyujun2020@jnu.edu.cn.
Dan Lu *Department of Neurology & Stroke Center, Key Lab of Basic and Translational Research of Pan-vascular Diseases, The First Affiliated Hospital of Jinan University, Guangzhou, 510632, China. ludan@jnu.edu.cn.

Funding

Science and Technology Program of Guangzhou 202201020042the Outstanding Innovative Talents Cultivation Funded Programs for Doctoral Students of Jinan University 2024CXB028
6 · The paper itself

Abstract

objectiveThere is still a lack of effective means for comprehensively and accurately evaluating the risk of acute kidney injury (AKI) after endovascular therapy (EVT) in patients with acute ischemic stroke (AIS). Therefore, this study aimed to develop and validate a nomogram for accurately predicting the risk of AKI after EVT in patients with AIS.

methods673 patients were included in our study, comprising 324 in the training cohort, 140 in the internal validation cohort, and 209 in the external validation cohort. The nomogram was developed based on the variables screened using the least absolute shrinkage and selection operator regression and multivariate logistic regression. The predictive efficiency of the nomogram was validated using both internal and external validation cohorts. Furthermore, the association between AKI and 90-day functional outcomes and mortality was analyzed based on propensity-score matching.

resultsFive risk factors for AKI were identified and used to construct a nomogram: baseline National Institutes of Health Stroke Scale score, preoperative creatinine level, pneumonia, acute heart failure, and hypotension. The nomogram exhibited good predictive performance as assessed by the area under the curve, calibration plots, and decision-curve analysis. In the propensity-score matched cohorts, AKI remained significantly associated with 90-day worse neurological outcomes.

conclusionsWe developed and validated an online dynamic nomogram with high predictive accuracy for predicting the risk of AKI in patients with AIS undergoing EVT, which is beneficial for clinical decision-making. Furthermore, our analysis showed that AKI was associated with poorer functional outcomes after EVT.

Indexed as

Acute Kidney InjuryEndovascular ProceduresIschemic StrokeNomogramsAgedAged, 80 and overFemaleHumansMaleMiddle AgedPredictive Value of TestsRisk AssessmentRisk FactorsAcute ischemic strokeAcute kidney injuryEndovascular therapyNomogramPrognosis

Identifiers

PMID41593540
PMCPMC12918098

What Socratic 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 Socratic graph.