Evidence map›Paper›PMID 33305494›Full record

ArticleOrthopaedic surgery2021

Homogenous and Heterogenous Prognostic Factors for Patients with Bone Sarcoma.

Guijun Xu, Haixiao Wu, Yao Xu, Yanting Zhang, Feng Lin, Vladimir P Baklaushev, Vladimir P Chekhonin, Karl Peltzer, Xin Wang, Min Mao and 3 more

Abstract read
In one paragraph

Article in Orthopaedic surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. A deep learning model for accurately predicting cancer-specific survival in patients with primary bone sarcoma of the extremity: a population-based study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
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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

13 authors.

Guijun Xu *Department of Orthopaedics, Tianjin Hospital, Tianjin, China.
Haixiao Wu *Department of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Yao Xu *Department of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Yanting ZhangDepartment of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Feng LinDepartment of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Vladimir P BaklaushevFederal Research and Clinical Center of Specialized Medical Care and Medical Technologies, Federal Biomedical Agency of the Russian Federation, Moscow, Russian Federation.
Vladimir P ChekhoninDepartment of Basic and Applied Neurobiology, Federal Medical Research Center for Psychiatry and Narcology, Moscow, Russian Federation.
Karl PeltzerDepartment of Research and Innovation, University of Limpopo, Turfloop, South Africa.
Xin WangDepartment of Epidemiology and Biostatistics, First Affiliated Hospital, Army Medical University, Chongqing, China.
Min MaoDepartment of Pathology, First Affiliated Hospital, Army Medical University, Chongqing, China.
Guowen WangDepartment of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
Ping CuiDepartment of Public Health, Jining Medical University, Jining, China.
Chao ZhangDepartment of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.ORCID https://orcid.org/0000-0001-7096-8488

Funding

Chongqing Natural Science Foundation Program cstc2019jcyj-msxmX0466National Natural Science Foundation of China 81702161National Natural Science Foundation of China 81802508National Natural Science Foundation of China 81903398National Natural Science Foundation of China 8191101553NSFC cultivation project of Jining Medical University JYP2019KJ08Scientific Research Staring Foundation for the Doctors of Jining Medical University 6001/6007890010Top talent training program of the first affiliated hospital of PLA Army Medical University SWH2018BJKJ-12
6 · The paper itself

Abstract

objectiveThe aim of this study was to examine the survival rate of patients with different bone sarcomas and to investigate homogenous and heterogenous prognostic factors for different types of bone sarcomas.

methodsThis is a retrospective analysis of records from the Surveillance, Epidemiology, and End Result (SEER) database. Clear information on the distant metastasis of cancer is provided in the SEER database for patients diagnosed between January 2010 and December 2016. Data for the four types of malignant bone sarcomas were extracted, including osteosarcoma, chondrosarcoma, Ewing sarcoma, and chordoma. Patients with bone sarcomas originated from other sites, diagnosed at autopsy, or indicated in death certification were excluded. The overall survival was calculated for the entire cohort and across different bone sarcomas using the Kaplan-Meier method. A subgroup analysis of the different survival rates of four types of bone sarcomas in various levels of each variable was conducted and the differences were tested with the log-rank test. Cox proportional hazard regression analysis was performed to determine the prognostic factors. Variables with P < 0.05 in the univariate Cox regression analysis were further analyzed using a multivariate Cox regression analysis. The prognostic factors in four groups of bone sarcomas were compared to determine the homogenous and heterogenous factors.

resultsA total of 4732 patients were included with a follow up of 25 (0-83) months. The mean age of patients was 39.7 ± 24.1 years. The 1-year, 3-year, and 5-year overall survival rate for the entire cohort was 86.2% (95% confidence interval [CI]: 85.2%-87.2%), 70.5% (95% CI: 68.9%-72.1%), and 63.0% (95% CI: 61.2%-64.8%), respectively. Factors including age older than 40 years, higher grade, regional and distant stage, tumor in the extremities, T2 stage, bone and lung metastases, and non-surgery were significantly associated with the poor survival of the entire cohort. The mean overall survival duration of patients with chordoma, chondrosarcoma, Ewing sarcoma, and osteosarcoma was 66.86 (95% CI: 64.06-69.66), 63.53 (95% CI: 61.81-65.25), 58.06 (95% CI: 55.49-60.62) and 54.91 (95% CI: 53.14-56.69) months, respectively. Compared with chordoma, the hazard ratio (HR) and 95% CI for patients with chondrosarcoma, Ewing sarcoma, and osteosarcoma were 1.30 (95% CI: 1.04-1.62; P = 0.023), 1.69 (95% CI: 1.33-2.14; P < 0.001), and 2.00 (95% CI: 1.61-2.48; P <0.001), respectively. Different bone sarcomas showed homogenous and heterogenous prognostic factors.

conclusionDifferent clinicopathological characteristics and prognoses were revealed in patients with osteosarcoma, chondrosarcoma, Ewing sarcoma, and chordoma. The risk factors can potentially guide prognostic prediction and sarcoma-specific treatment.

Indexed as

AdolescentAdultBone NeoplasmsChondrosarcomaFemaleHumansKaplan-Meier EstimateMaleMiddle AgedOsteosarcomaPrognosisRetrospective StudiesSEER ProgramSurvival RateYoung AdultChondrosarcomaChordomaEwing sarcomaOsteosarcomaPrognosis

Identifiers

PMID33305494
PMCPMC7862145

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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.