Evidence map›Paper›PMID 35999524›Full record

ArticleBMC cancer2022

A tool for predicting overall survival in patients with Ewing sarcoma: a multicenter retrospective study.

Wenle Li, Shengtao Dong, Yuewei Lin, Huitao Wu, Mengfei Chen, Chuan Qin, Kelin Li, JunYan Zhang, Zhi-Ri Tang, Haosheng Wang and 5 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 16 citations in OpenAlex.

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  13. Ewing sarcoma from molecular biology to the clinic.Frontiers in cell and developmental biology · 2023
    Review
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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

15 authors at 10 institutions in 2 countries.

Wenle Li *Department of Orthopedic Surgery II, The Second Affiliated Hospital of Xi'an Jiao Tong University, Xi'an, 710004, China.
Shengtao Dong *Department of Spine Surgery, Second Affiliated Hospital of Dalian Medical University, Dalian, 116000, China.
Yuewei Lin *The Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, 510000, China.
Huitao Wu *Intelligent Healthcare Team, Baidu Inc, Beijing, 100089, China.
Mengfei ChenEmergency Department, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, 750000, China.
Chuan QinDepartment of Spine Surgery, Liuzhou People's Hospital, Liuzhou, 545000, China.
Kelin LiDepartment of Spine Surgery, Liuzhou People's Hospital, Liuzhou, 545000, China.
JunYan ZhangMedical Big Data Research Center, PLA General Hospital, Beijing, 100853, China.
Zhi-Ri TangSchool of Physics and Technology, Wuhan University, Wuhan, 430072, China.
Haosheng WangOrthopaedic Medical Center, The Second Hospital of Jilin University, Changchun, 130000, China.
Kang HuoNeurology department, Xi'an jiaotong university 1st affiliated hospital, Xian, 71000, China.
Xiangtao XieDepartment of Spine Surgery, Liuzhou People's Hospital, Liuzhou, 545000, China.
Zhaohui HuDepartment of Spine Surgery, Liuzhou People's Hospital, Liuzhou, 545000, China. 329870376@qq.com.
Sirui KuangFaculty of Medicine, Macau University of Science and Technology, Macau, 999078, China. 651438367@qq.com.
Chengliang YinFaculty of Medicine, Macau University of Science and Technology, Macau, 999078, China. chengliangyin@163.com.
Liuzhou General Hospital · CNMacau University of Science and Technology · MOBaidu (China) · CNChinese PLA General Hospital · CNDalian Medical University · CNGuangzhou University of Chinese Medicine · CNSecond Affiliated Hospital of Jilin University · CNThe Fourth People's Hospital of Ningxia Hui Autonomous Region · CNWuhan University · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to establish and validate a clinical prediction model for assessing the risk of metastasis and patient survival in Ewing's sarcoma (ES).

methodsPatients diagnosed with ES from the Surveillance, Epidemiology and End Results (SEER) database for the period 2010-2016 were extracted, and the data after exclusion of vacant terms was used as the training set (n=767). Prediction models predicting patients' overall survival (OS) at 1 and 3 years were created by cox regression analysis and visualized using Nomogram and web calculator. Multicenter data from four medical institutions were used as the validation set (n=51), and the model consistency was verified using calibration plots, and receiver operating characteristic (ROC) verified the predictive ability of the model. Finally, a clinical decision curve was used to demonstrate the clinical utility of the model.

resultsThe results of multivariate cox regression showed that age, , bone metastasis, tumor size, and chemotherapy were independent prognostic factors of ES patients. Internal and external validation results: calibration plots showed that the model had a good agreement for patient survival at 1 and 3 years; ROC showed that it possessed a good predictive ability and clinical decision curve proved that it possessed good clinical utility.

conclusionsThe tool built in this paper to predict 1- and 3-year survival in ES patients ( https://drwenleli0910.shinyapps.io/EwingApp/ ) has a good identification and predictive power.

Indexed as

Sarcoma, EwingHumansModels, StatisticalNomogramsPrognosisProportional Hazards ModelsRetrospective StudiesSEER ProgramEwing sarcomaMulticenterNomogramSEER databaseWeb calculator

Identifiers

PMID35999524
PMCPMC9400324
OpenAlexW4292801040

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.