Evidence map›Paper›PMID 31528536›Full record

ArticleJournal of bone oncology2019

Application of nomograms to predict overall and cancer-specific survival in patients with chordoma.

Weipeng Zheng, Yuanping Huang, Tianwang Guan, Songfang Lu, Liquan Yao, Senrui Wu, Haoyi Chen, Ning Wang, YingJie Liang, Wende Xiao and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of bone oncology, 2019. 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
1.3field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Weipeng ZhengDepartment of Orthopedics, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510180, People's Republic of China.
Yuanping HuangDepartment of Orthopedics, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510180, People's Republic of China.
Tianwang GuanGuangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510180, People's Republic of China.
Songfang LuDepartment of Nephrology, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510180, People's Republic of China.
Liquan YaoDepartment of Orthopedics, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong 510180, People's Republic of China.
Senrui WuThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, Guangdong 510180, People's Republic of China.
Haoyi ChenDepartment of Orthopedics, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510180, People's Republic of China.
Ning WangDepartment of Orthopedics, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510180, People's Republic of China.
YingJie LiangDepartment of Orthopedics, Guangzhou First People's Hospital, Guangzhou Medical University, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510180, People's Republic of China.
Wende XiaoDepartment of Orthopedics, Guangzhou First People's Hospital, Guangzhou Medical University, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510180, People's Republic of China.
Xin JiangDepartment of Orthopedics, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510180, People's Republic of China.
Shifeng WenDepartment of Orthopedics, Guangzhou First People's Hospital, Guangzhou Medical University, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510180, People's Republic of China.
Guangzhou Medical University · CNGuangzhou First People's Hospital · CNFirst Affiliated Hospital of Guangzhou Medical University · CNSouth China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe survival prediction of patients with chordoma is difficult to make due to the rarity of this oncologic disease. Our objective was to apply a nomogram to predict survival outcomes in individuals with chordoma of the skull base, vertebral column, and pelvis.

methodsA total of 558 patients with chordoma between 1973 and 2014 were collected from the Surveillance, Epidemiology, and End Results (SEER) database. Independent prognostic factors in patients with chordoma were identified via univariate and multivariate Cox analysis. Then these prognostic factors were incorporated into a nomogram to predict 3- and 5-year overall survival and cancer-specific survival rates. Internal and external data were used to validate the nomograms. Concordance indices (C-indices) were used to estimate the accuracy of this nomogram system.

resultsA total of 558 patients were randomly assigned into a training cohort (

conclusionNomograms were constructed to predict overall survival and cancer-specific survival for patients with chordoma of the skull base, vertebral column, and pelvis. The nomogram could help surgeons to identify high risk of mortality and evaluate prognosis in patients with chordoma.

Indexed as

Cancer-specific survivalChordomaNomogramOverall survivalSEER database

Identifiers

PMID31528536
PMCPMC6742804
OpenAlexW2954115005

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.