Evidence map›Paper›PMID 30323674›Full record

ArticleCancer management and research2018

Prognostic factors for postoperative survival among patients with rhabdomyosarcoma of the limbs.

Shihong Ren, Zhan Wang, Xin Huang, Lingling Sun, Jinxiang Shao, Zhaoming Ye

Abstract read
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Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

Who cites it

8 citing papers in PubMed.

  1. A comparison of upper versus lower extremity rhabdomyosarcoma survival: A SEER database analysis.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2025
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shihong RenDepartment of Orthopedics, The First People's Hospital of Wenling, Wenling 317500, China, sjx660226@126.com.
Zhan WangDepartment of Orthopedics, Centre for Orthopedic Research, Orthopedics Research Institute of Zhejiang University, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China, yezhaoming@zju.edu.cn.
Xin HuangDepartment of Orthopedics, Centre for Orthopedic Research, Orthopedics Research Institute of Zhejiang University, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China, yezhaoming@zju.edu.cn.
Lingling SunDepartment of Orthopedics, Centre for Orthopedic Research, Orthopedics Research Institute of Zhejiang University, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China, yezhaoming@zju.edu.cn.
Jinxiang ShaoDepartment of Orthopedics, The First People's Hospital of Wenling, Wenling 317500, China, sjx660226@126.com.
Zhaoming YeDepartment of Orthopedics, Centre for Orthopedic Research, Orthopedics Research Institute of Zhejiang University, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China, yezhaoming@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRhabdomyosarcoma (RMS) is a rare malignant soft tissue sarcoma with a poor outcome and unclear prognostic factors. The purpose of this study was to analyze the prognostic postoperative survival factors among patients with RMS of the limbs.

methodsPostoperative data on patients with RMS of the limbs from 1983 to 2013 were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database of the US National Cancer Institute. Both overall survival (OS) and cancer-specific survival (CSS) were assessed using the Kaplan-Meier method (to obtain OS and CSS curves) and a Cox proportional hazards regression model.

resultsIn total, 385 cases were obtained from the SEER database. The 5- and 10-year OS rates of the entire group were 51.5% and 42.2%, respectively. The 5- and 10-year CSS rates were 56.7% and 50.7%, respectively. Univariate analysis revealed that age, location, tumor stage, tumor size, and radiation therapy (RT) were associated with OS. Age, tumor stage, tumor size, and RT were associated with CSS. Age, tumor stage, tumor size, and RT were also independent predictors of both OS and CSS.

conclusionYoung age, no metastasis at presentation, smaller tumor size, and RT are favorable factors for prolonging survival among patients with RMS of the limbs after surgery.

Indexed as

prognosisrhabdomyosarcomaSEERsurvival

Identifiers

PMID30323674
PMCPMC6175543

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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.