Evidence map›Paper›PMID 38565733›Full record

ArticleWorld journal of urology2024

Renal anatomical classification systems cannot predict the occurrence of vascular complications after partial nephrectomy.

Peirong Xu, Guanwen Yang, Liang Pan, Yanjun Zhu, Sihong Zhang, Yaohui Li, Minke He, Jiaqi Huang, Shuai Jiang, Xiaoyi Hu and 3 more

Abstract read
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In one paragraph

Article in World journal of urology, 2024. 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
0.8field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

13 authors at 2 institutions in 1 country.

Peirong Xu *Department of Urology, Zhongshan Hospital, Fudan University, 180th Fengling Rd, Xuhui District, Shanghai, 200032, China.
Guanwen Yang *Department of Urology, Zhongshan Hospital, Fudan University, 180th Fengling Rd, Xuhui District, Shanghai, 200032, China.
Liang PanDepartment of Urology, Xuhui Hospital, Fudan University, 966th Huaihai Middle Rd, Xuhui District, Shanghai, 200031, China.
Yanjun ZhuDepartment of Urology, Zhongshan Hospital, Fudan University, 180th Fengling Rd, Xuhui District, Shanghai, 200032, China.
Sihong ZhangDepartment of Urology, Zhongshan Hospital, Fudan University, 180th Fengling Rd, Xuhui District, Shanghai, 200032, China.
Yaohui LiDepartment of Urology, Zhongshan Hospital, Fudan University, 180th Fengling Rd, Xuhui District, Shanghai, 200032, China.
Minke HeDepartment of Urology, Minhang Hospital, Fudan University, Shanghai, 201199, China.
Jiaqi HuangDepartment of Urology, Minhang Hospital, Fudan University, Shanghai, 201199, China.
Shuai JiangDepartment of Urology, Zhongshan Hospital, Fudan University, 180th Fengling Rd, Xuhui District, Shanghai, 200032, China.
Xiaoyi HuDepartment of Urology, Zhongshan Hospital, Fudan University, 180th Fengling Rd, Xuhui District, Shanghai, 200032, China.
Jianming GuoDepartment of Urology, Zhongshan Hospital, Fudan University, 180th Fengling Rd, Xuhui District, Shanghai, 200032, China.
Jie ChengDepartment of Urology, Xuhui Hospital, Fudan University, 966th Huaihai Middle Rd, Xuhui District, Shanghai, 200031, China. 13818908753@163.com.
Hang WangDepartment of Urology, Zhongshan Hospital, Fudan University, 180th Fengling Rd, Xuhui District, Shanghai, 200032, China. wang.hang@zs-hospital.sh.cn.ORCID http://orcid.org/0000-0002-0849-1196
Sun Yat-sen University · CNFudan University · CN

Funding

National Natural Science Foundation of China 62273099Natural Science Foundation of Shanghai 22ZR1458000Shanghai Science and Technology Commission 22Y11905300Special Fund for Clinical Research of Zhongshan Hospital Fudan University 2020ZSLC16State Key Laboratory of Medical Neurobiology 2020ZHZS20the Medical Research Project of Xuhui District SHXH202228
6 · The paper itself

Abstract

objectivesTo determine the relationship between renal tumor complexity and vascular complications after partial nephrectomy using PADUA, RENAL, and ZS scores.

methodsBetween January 2007 and December 2018, a total of 1917 patients with available cross-sectional imaging were enrolled in the study. Logistic regressions were used to identify independent predictors of vascular complications.

resultsOf 1917 patients, 31 (1.6%) developed vascular complications, including 10 females and 21 males. The high-complexity category was significantly associated with a decreased risk of vascular complication in PADUA (OR = 0.256; 95%CI = 0.086-0.762; P = 0.014) and ZS score (OR = 0.279; 95%CI = 0.083-0.946; P = 0.040). Laparoscopic partial nephrectomy and robot-assisted laparoscopic partial nephrectomy were independent risk factors for vascular complications. Meanwhile, the incidence was significantly reduced in the recent 4 years in the high score tumor group alone in PADUA (0.2% [1/474] vs. 2.2% [3/139], P = 0.038) and ZS score (0.2% [1/469] vs. 2.7% [3/112], P = 0.024). In the first 8 years, laparoscopic partial nephrectomy and robot-assisted laparoscopic partial nephrectomy were the only two independent risk factors for vascular complications. In the recent 4 years, only the high-complexity category was significantly associated with a decreased risk of vascular complication in the PADUA score (OR = 0.110; 95%CI = 0.013-0.938; P = 0.044).

conclusionThe renal anatomic classification system cannot predict the occurrence of vascular complications after partial nephrectomy.

Indexed as

Kidney NeoplasmsLaparoscopyRobotic Surgical ProceduresFemaleHumansKidneyMaleNephrectomyPostoperative ComplicationsRetrospective StudiesTreatment OutcomeAnatomyClassificationHemorrhageNephrectomyPostoperative complications

Identifiers

PMID38565733
OpenAlexW4393542302

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.