Evidence map›Paper›PMID 36186639›Full record

ArticleFrontiers in pediatrics2022

Overall survival nomogram and relapse-related factors of clear cell sarcoma of the kidney: A study based on published patients.

Yuan Zhang, Qian Chu, Yue Ma, Chunshu Miao, Juan-Juan Diao

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Article in Frontiers in pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yuan ZhangCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Qian ChuDepartment of Preventive Treatment, District Second Hospital of Qingdao Huangdao of Traditional Chinese Medicine, Qingdao, China.
Yue MaGuang'an men Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Chunshu MiaoCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
Juan-Juan DiaoDepartment of Pediatrics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rarity limits the breadth of study on clear cell sarcoma of the kidney (CCSK). There is currently no predictive model that quantifies the overall survival (OS) of CCSK and a few large sample-based analysis of relapse-related factors. Methods: Patients were collected both from the Surveillance, Epidemiology, and End Results (SEER) database and case report articles extracted from the global online document database to form 2 groups. The first was the OS group, which was used to build and verify the nomogram for predicting the OS of CCSK. Independent predictors of OS were screened by Cox regression analysis to develop the nomogram. Nomogram accuracy was assessed by C-index, receiver operating characteristic (ROC), calibration, and decision curve analysis (DCA) curves. In addition, the difference in OS between receiving radiotherapy or not in stage I patients was analyzed by the Chi-square test. The second was the relapse group, which was used to analyze the relapse-related factors by Cox regression analysis and the Kaplan-Meier method with the log-rank test. Result: 256 patients were included in the OS group. The stage, chemotherapy, and radiotherapy were independent OS-related factors of CCSK, and the nomogram for predicting the OS of CCSK was established based on them. The results of the C-index, ROC, calibration, and DCA curves showed that the nomogram has good discrimination, accuracy, and clinical profitability. The Chi-squared test showed no significant difference in OS with receiving radiotherapy or not in stage I patients. The relapse group included 153 patients, of which 60 relapsed. The univariate Cox regression analysis showed no correlation between radiotherapy and relapse. The multivariate Cox regression analysis showed that stage and surgery/chemotherapy sequence were the independent factors for relapse. The log-rank test of seven chemotherapeutic drugs showed that etoposide (E), cyclophosphamide (C), vincristine (V), and doxorubicin (D) (all Conclusion: Our nomogram accurately quantified the OS of CCSK. There was no significant difference in OS between receiving radiotherapy or not in stage I patients. Stage, surgery/chemotherapy sequence, and the use of ECVD were relapse-related factors. Radiotherapy had no significant contribution to preventing relapse.

Indexed as

clear cell sarcoma of the kidneynomogrampredictorprognosisrelapse

Identifiers

PMID36186639
PMCPMC9523514

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