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Tytuł pozycji:

Establishing a novel prognostic tool for Ewing sarcoma patients: Surveillance, Epidemiology, and End Results database analysis.

Tytuł:
Establishing a novel prognostic tool for Ewing sarcoma patients: Surveillance, Epidemiology, and End Results database analysis.
Autorzy:
Gao F; Department of Orthopaedics, The Affiliated Yangming Hospital of Ningbo University, Yuyao People's Hospital of Zhejiang Province, Yuyao.
Zhou Y; Department of Orthopaedics, Health Community Group of Yuhuan Second People's Hospital, Yuhuan.
Zhao R; Department of Orthopaedics, Taizhou Tumor Hospital, Wenling, Zhejiang, China.
Ren Y; Department of Orthopaedics, The Affiliated Yangming Hospital of Ningbo University, Yuyao People's Hospital of Zhejiang Province, Yuyao.
Źródło:
Medicine [Medicine (Baltimore)] 2020 Nov 13; Vol. 99 (46), pp. e23050.
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Original Publication: Hagerstown, Md : Lippincott Williams & Wilkins
MeSH Terms:
Clinical Decision Rules*
Nomograms*
Bone Neoplasms/*diagnosis
Risk Assessment/*methods
Sarcoma, Ewing/*diagnosis
Adolescent ; Adult ; Bone Neoplasms/mortality ; Female ; Humans ; Kaplan-Meier Estimate ; Male ; Multivariate Analysis ; Neoplasm Staging ; Predictive Value of Tests ; Prognosis ; Proportional Hazards Models ; Risk Factors ; SEER Program ; Sarcoma, Ewing/mortality ; Young Adult
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Entry Date(s):
Date Created: 20201112 Date Completed: 20201130 Latest Revision: 20221005
Update Code:
20240105
PubMed Central ID:
PMC7668507
DOI:
10.1097/MD.0000000000023050
PMID:
33181669
Czasopismo naukowe
Patients diagnosed with Ewing sarcoma (ES) usually experience poor outcomes. Accurate prediction of ES patients' prognosis is essential to improve their survival. Given that ES is a relatively rare tumor with a low incidence, we aim at developing a prognostic nomogram of ES patients based on a large sample analysis.We used the Surveillance, Epidemiology, and End Results (SEER) database to screen eligible patients diagnosed ES of bone. This retrospective study presented the clinicopathological characteristics and prognosis of ES. We randomly assigned all ES patients to 2 sets (training set and validation set) with an equal number of patients. In order to identify independent factors of survival, we performed univariate and multivariate Cox analysis in the training set. Then, we constructed novel nomograms to predict survival of ES patients by integrating significant independent variables from the training set. The prognostic performance of constructed nomograms was examined using concordance index (C-index) and calibration curves in both training and validation set.We included a total of 988 eligible cases diagnosed ES of bone between 2000 and 2015. Age >18 years, distant metastasis, tumor size >10 cm, and no surgery were independent risk factors for poorer survival. Our survival prediction nomograms were established based on those 4 independent risk factors. Good calibration plots were achieved in internal and external validation. The internal validation C-indexes of the nomogram for overall survival (OS) and cancer-specific survival (CSS) were 0.733 and 0.737, respectively. Similar good results were also achieved in external validation setting.The established nomograms show good performance and allow for better evaluating the prognosis of ES patients and recommending appropriate instructions.

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