Evidence map›Paper›PMID 36030357›Full record

ArticleInternational urology and nephrology2022

Clinical study of centrality index in predicting the postoperative pathological nuclear grade of clear cell renal cell carcinoma.

Haoxin Jiang, Xiaochen Zhou, Xiangpeng Zhan, Yu Li, Yunqiang Xiong, Jiahui Long, Sheng Li, Xiaoqiang Liu, Bin Fu

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In one paragraph

Article in International urology and nephrology, 2022. 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
0.2field-weighted citation impact, top 49% of its field
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

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1 citing paper in PubMed, 1 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Haoxin Jiang *Department of Urology, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang, 330006, Jiangxi, People's Republic of China.
Xiaochen ZhouDepartment of Urology, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang, 330006, Jiangxi, People's Republic of China.
Xiangpeng Zhan *Department of Urology, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang, 330006, Jiangxi, People's Republic of China.
Yu LiDepartment of Urology, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang, 330006, Jiangxi, People's Republic of China.
Yunqiang XiongDepartment of Urology, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang, 330006, Jiangxi, People's Republic of China.
Jiahui LongDepartment of Urology, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang, 330006, Jiangxi, People's Republic of China.
Sheng LiDepartment of Urology, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang, 330006, Jiangxi, People's Republic of China.
Xiaoqiang LiuDepartment of Urology, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang, 330006, Jiangxi, People's Republic of China. shaw177@163.com.
Bin FuDepartment of Urology, The First Affiliated Hospital of Nanchang University, 17 Yongwaizheng Street, Nanchang, 330006, Jiangxi, People's Republic of China. urofbin@163.com.ORCID http://orcid.org/0000-0001-6686-7561
Nanchang University · CN

Funding

National Natural Science Foundation of P.R. China 81560419
6 · The paper itself

Abstract

objectiveThis study aimed to investigate whether the centrality index score (C index) can be used to predict the histological nuclear grade of clear cell renal cell carcinoma (ccRCC) and guide the clinical treatment of this disease.

methodsThis study included 194 patients with ccRCC who underwent renal surgery at our center between 2016 and 2020 and had complete computed tomography or computed tomography angiography (CT/CTA) data and C index. The relationship between the pathological grade of renal masses and the C index was evaluated.

resultsIn univariate analysis, the gender, body mass index (BMI), tumor size, or height from the center of the renal hilum to the maximum diameter of the tumor along the 90° vertical axis (in cm) is y. The horizontal distance from the reference point of the central axis of the renal hilum to the tumor center is x. The distance from the center of the kidney to the center of the tumor is c and the C index was significantly correlated with postoperative tumor grade (p < 0.05). Multivariate analysis showed that tumor size and C index were independent prognostic factors for the preoperative prediction of the pathological grade factor of ccRCC. The receiver operating characteristic curves of the multi-parameter regression model [0.9471, 95% confidence interval (95% CI) 0.9138-0.9803], C index (0.9324, 95% CI 0.8899-0.9748), and tumor size (0.9307, 95% CI 0.8951-0.9663) were compared.

conclusionTumor size and C index were independent prognostic factors for high-grade pathology, and large tumors and small C index were associated with high-grade pathology. Therefore, the C index can help urologists make treatment decisions.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsHumansKidneyRetrospective StudiesROC CurveTomography, X-Ray ComputedccRCCC indexHistological nuclear grade

Identifiers

PMID36030357
OpenAlexW4293335173

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