Evidence map›Paper›PMID 40563058›Full record

ArticleWorld journal of urology2025

Prediction model for postoperative acute kidney injury and chronic kidney disease in patients with renal cell carcinoma and venous tumor thrombus.

Qilong Jiao, Cheng Peng, Ben Cao, Jianwen Chen, Shuoyu Wang, Chenfeng Wang, Liangyou Gu, Haiyi Wang, Haixing Mai, Xu Zhang and 2 more

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Article in World journal of urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Qilong Jiao *School of Medicine, Nankai University, Tianjin, 300071, China.ORCID http://orcid.org/0000-0003-0588-7408
Cheng Peng *Department of Urology, The Third Medical Center, Chinese PLA General Hospital, Yongding Road 69, Haidian District, Beijing, 100039, China.
Ben CaoSchool of Medicine, Nankai University, Tianjin, 300071, China.
Jianwen ChenDepartment of Nephrology, The First Medical Center, Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, National Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, 100853, China.
Shuoyu WangSchool of Medicine, Nankai University, Tianjin, 300071, China.
Chenfeng WangDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Yongding Road 69, Haidian District, Beijing, 100039, China.
Liangyou GuDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Yongding Road 69, Haidian District, Beijing, 100039, China.
Haiyi WangDepartment of Radiology, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
Haixing MaiDepartment of Urology, The Third Medical Center, Chinese PLA General Hospital, Yongding Road 69, Haidian District, Beijing, 100039, China.
Xu ZhangSchool of Medicine, Nankai University, Tianjin, 300071, China. xzhang301@163.com.
Xin MaSchool of Medicine, Nankai University, Tianjin, 300071, China. mxin301@126.com.
Qingbo HuangSchool of Medicine, Nankai University, Tianjin, 300071, China. gdhuangqingbo@163.com.ORCID http://orcid.org/0000-0003-2894-0187

Funding

Beijing Municipal Science and Technology Commission Z221100007422123Beijing Natural Science Foundation 7222232Beijing Natural Science Foundation L248017National Natural Science Foundation of China 82173259National Natural Science Foundation of China 82273412
6 · The paper itself

Abstract

purposeTo develop nomograms to predict the risks for postoperative acute kidney injury (PO-AKI) and chronic kidney disease (CKD) in patients with renal cell carcinoma and venous tumor thrombus (RCC-VTT).

methodsConsecutive postoperative patients with RCC-VTT (n = 353) were enrolled between January 2006 and June 2023. Clinicopathological, operative, and functional outcome data were analyzed. Logistic regression was used to develop predictive models incorporating risk factors. Model performance was assessed using the area under the curve (AUC), calibration, and decision curve analyses.

resultsAmong the 353 patients, the incidence of PO-AKI was 61.5%, with Stage 2-3 PO-AKI in 15.0% overall, 4.0% of cases with RCC and renal venous tumor thrombus, and 21.1% of RCC with inferior vena cava (IVC) tumor thrombus. Independent risk factors for PO-AKI included age > 60 years, male sex, contralateral renal artery and IVC clamping times > 20 min, BMI, and preoperative estimated glomerular filtration rate (eGFR). Tumor size was the only independent protective factor against PO-AKI. Of 297 patients, 83 (27.9%) developed CKD, with BMI > 24 kg/m

conclusionThe developed nomograms effectively predicted PO-AKI and CKD risks in patients with RCC-VTT, aiding in clinical decision-making and optimizing patient management to improve functional outcomes.

Indexed as

Acute Kidney InjuryCarcinoma, Renal CellKidney NeoplasmsNomogramsPostoperative ComplicationsRenal Insufficiency, ChronicVenous ThrombosisAgedFemaleHumansMaleMiddle AgedNephrectomyPredictive Value of TestsRetrospective StudiesRisk AssessmentAcute kidney injuryChronic kidney diseaseCongestive kidney injuryPrediction modelRenal tumorTumor thrombus

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