Evidence map›Paper›PMID 34811459›Full record

ArticleScientific reports2021

A SEER-based nomogram accurately predicts prognosis in Ewing's sarcoma.

Haibo Zhan, Fengbo Mo, Meisong Zhu, Xiaoyu Xu, Bin Zhang, Hucheng Liu, Min Dai

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. MFNG is an independent prognostic marker for osteosarcoma.European journal of medical research · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Challenges of Systemic Therapy Investigations for Bone Sarcomas.International journal of molecular sciences · 2022
    Review
  12. Article
  13. Immunoliposome for Ewing Sarcoma.Cancer genomics & proteomics
    Article
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

7 authors at 2 institutions in 1 country.

Haibo Zhan *Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China.
Fengbo Mo *Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China.
Meisong ZhuDepartment of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China.
Xiaoyu XuDepartment of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China.
Bin ZhangDepartment of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China.
Hucheng LiuDepartment of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China. lliuhucheng@163.com.
Min DaiDepartment of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China. daimin@medmail.com.cn.
Nanchang University · CNFirst Affiliated Hospital of Nanchang University · CN

Funding

Jiangxi Provincial Department of Science and Technology 20202BABL206105National Natural Science Foundation of China No.8206110457
6 · The paper itself

Abstract

Ewing's sarcoma is a high-grade malignancy bone and soft tissue tumor that most commonly occurs in children and adolescents. Although the overall prognosis of Ewing's sarcoma has improved, the 5-year survival rate has not improved significantly. The study aimed to determine the risk factors independently associated with the prognosis of Ewing's sarcoma and to construct a nomogram to predict patient survival. Patients diagnosed with Ewing's sarcoma were collected from the Surveillance, Epidemiology, and End Results program database between 2004 and 2015 and further divided into training and validation cohort. Univariate and multivariate Cox regression analyses were used to identify meaningful independent prognostic factors. The nomogram was used to predict 3- and 5-year overall survival (OS) and cancer-specific survival (CSS). Finally, the nomogram was verified internally and externally through the training and validation cohorts, and the predictive capability was evaluated using the receiver operating characteristic (ROC) curve, C-index, and calibration curve and compared with that of the 7th TNM stage. A total of 1120 patients were divided into training (n = 713) and validation (n = 407) cohorts. Based on the multivariate analysis of the training cohort, a nomogram that integrated age, tumor size, primary site, N stage, and M stage was constructed (P < 0.05). The predicted C-indexes of OS and CSS of the training cohort were 0.744 (95% CI 0.717-0.771) and 0.743 (95% CI 0.715-0.770), respectively. However, the TNM stage had a C-index of 0.695 (95% CI 0.666-0.724) and 0.698 (95% CI 0.669-0.727) for predicting OS and CSS, respectively. The nomogram showed higher C-indexes than those in the TNM stage. Furthermore, the internal and external calibration curves showed good consistency between the predicted and observed values. Age, tumor size, primary site, N stage, and M stage are independent risk factors affecting the OS and CSS in Ewing's sarcoma patients. Compared with the 7th TNM staging, the nomogram consisting of these factors was more accurate for risk assessment and survival prediction in patients with Ewing's sarcoma, thus providing a novel reliable tool for risk assessment and survival prediction in Ewing's sarcoma patients.

Indexed as

Decision Support TechniquesNomogramsAdolescentAdultAge FactorsBone NeoplasmsChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMiddle AgedNeoplasm StagingPredictive Value of Tests

Identifiers

PMID34811459
PMCPMC8608824
OpenAlexW3217365231

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.