Evidence map›Paper›PMID 38254091›Full record

ArticleWorld journal of surgical oncology2024

Patients with high nuclear grade pT1-ccRCC are more suitable for radical nephrectomy than partial nephrectomy: a multicenter retrospective study using propensity score.

Haozhe Xu, Zhuo Xing, Kai Ai, Jie Wang, Zhengtong Lv, Haitao Deng, Ke Li, Yang Wang, Yuan Li

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in World journal of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

9 authors at 5 institutions in 1 country.

Haozhe XuDepartment of Urology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Zhuo XingDepartment of Urology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Kai AiDepartment of Urology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Jie WangDepartment of Oncology, Hunan Cancer Hospital, Changsha, Hunan, China.
Zhengtong LvDepartment of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Haitao DengDepartment of Urology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
Ke LiDepartment of Urology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yang WangDepartment of Pathology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China. wangyangxyeyy@163.com.
Yuan LiDepartment of Urology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China. yuanlixy@csu.edu.cn.
Second Xiangya Hospital of Central South University · CNCentral South University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNHunan Cancer Hospital · CNXiangya Hospital Central South University · CN

Funding

National Natural Science Foundation of China 82373435 and 82172878
6 · The paper itself

Abstract

backgroundPartial nephrectomy (PN) is usually recommended for T1 stage clear cell renal cell carcinoma (ccRCC) regardless of the nuclear grades. However, the question remains unresolved as to whether PN is non-inferior to RN in patients with T1-ccRCC at higher risk of recurrence. In fact, we found that patients with high nuclear grades treated with PN had poorer prognosis compared with those treated with radical nephrectomy (RN). Therefore, this study was designed to evaluate the associations of PN and RN in the four nuclear grade subsets with oncologic outcomes.

methodsA retrospective study was conducted in three Chinese urological centers that included 1,714 patients who underwent PN or RN for sporadic, unilateral, pT1, N0, and M0 ccRCC without positive surgical margins and neoadjuvant therapy between 2010 and 2019. Associations of nephrectomy type with local ipsilateral recurrence, distant metastases, and all-cause mortality (ACM) were evaluated using the Kaplan-Meier method and multivariable Cox proportional hazards regression models after overlap weighting (OW).

resultsA total of 1675 patients entered the OW cohort. After OW, in comparison to PN, RN associated with a reduced risk of local ipsilateral recurrence in the G2 subset (HR = 0.148, 95% CI 0.046-0.474; p < 0.05), G3 subset (HR = 0.097, 95% CI 0.021-0.455; p < 0.05), and G4 subset (HR = 0.091, 95% CI 0.011-0.736; p < 0.05), and resulting in increased five-year local recurrence-free survival rates of 7.0%, 17.9%, and 36.2%, respectively. An association between RN and a reduced risk of distant metastases in the G4 subset (HR = 0.071, 95% CI 0.016-0.325; p < 0.05), with the five-year distant metastases-free survival rate increasing by 33.1% was also observed. No significant difference in ACM between PN and RN was identified.

conclusionsOur findings substantiate that opting for RN, as opposed to PN, is more advantageous for local recurrence-free survival and distant metastases-free survival in patients with high nuclear grade (especially G4) pT1-ccRCC. We recommend placing a heightened emphasis on enhancing preoperative nuclear grade assessment, as it can significantly influence the choice of surgical plan.

trial registrationThis study was registered at Chinese Clinical Trial Registry (ID: ChiCTR2200063333).

Indexed as

CarcinomaCarcinoma, Renal CellKidney NeoplasmsHumansNephrectomyPropensity ScoreRetrospective StudiesClear cell renal cell carcinomaNuclear gradeOverlap weightingPartial nephrectomy

Identifiers

PMID38254091
PMCPMC10804783
OpenAlexW4391116255

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.