Evidence map›Paper›PMID 31341246›Full record

ArticleScientific reports2019

Clinical characteristics and disease-specific prognostic nomogram for primary gliosarcoma: a SEER population-based analysis.

Song-Shan Feng, Huang-Bao Li, Fan Fan, Jing Li, Hui Cao, Zhi-Wei Xia, Kui Yang, Xiao-San Zhu, Ting-Ting Cheng, Quan Cheng

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  8. Metastatic secondary gliosarcoma: patient series.Journal of neurosurgery. Case lessons · 2023
    Article
  9. Prognostic Factors of Gliosarcoma in the Real World: A Retrospective Cohort Study.Computational and mathematical methods in medicine · 2023
    Article
  10. Article
  11. Chasing a rarity: a retrospective single-center evaluation of prognostic factors in primary gliosarcoma.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2022
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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

10 authors at 5 institutions in 1 country.

Song-Shan FengDepartment of Neurosurgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410078, P.R. China.
Huang-Bao LiDepartment of Hepatobiliary and Pancreatic Surgery, First Hospital of Jiaxing, First Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, P.R. China.
Fan FanDepartment of Neurosurgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410078, P.R. China.
Jing LiDepartment of Rehabilitation, the Second Xiangya Hospital, Central South University, 139 People Road, Changsha, Hunan, P.R. China.
Hui CaoDepartment of Psychiatry, the Second People's Hospital of Hunan Province, the Hospital of Hunan University of Chinese Medicine, Changsha, 410008, Hunan, P.R. China.
Zhi-Wei XiaDepartment of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410078, P.R. China.
Kui YangDepartment of Neurosurgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410078, P.R. China.
Xiao-San ZhuDepartment of Digestive, the 174th Hospital of the PLA, Xiamen, Fujian, P.R. China.
Ting-Ting ChengDepartment of Preventive Health Care, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410078, P.R. China.
Quan ChengDepartment of Neurosurgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410078, P.R. China. chengquan@csu.edu.cn.
Central South University · CNXiangya Hospital Central South University · CN174th hospital of the People's Liberation Army · CNFirst Hospital of Jiaxing · CNSecond Affiliated Hospital of Hunan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because the study population with gliosarcoma (GSM) is limited, the understanding of this disease is insufficient. In this study, the authors aimed to determine the clinical characteristics and independent prognostic factors influencing the prognosis of GSM patients and to develop a nomogram to predict the prognosis of GSM patients after craniotomy. A total of 498 patients diagnosed with primary GSM between 2004 and 2015 were extracted from the 18 Registries Research Data of the Surveillance, Epidemiology, and End Results (SEER) database. The median disease-specific survival (DSS) was 12.0 months, and the postoperative 0.5-, 1-, and 3-year DSS rates were 71.4%, 46.4% and 9.8%, respectively. We applied both the Cox proportional hazards model and the decision tree model to determine the prognostic factors of primary GSM. The Cox proportional hazards model demonstrated that age at presentation, tumour size, metastasis state and adjuvant chemotherapy (CT) were independent prognostic factors for DSS. The decision tree model suggested that age <71 years and adjuvant CT were associated with a better prognosis for GSM patients. The nomogram generated via the Cox proportional hazards model was developed by applying the rms package in R version 3.5.0. The C-index of internal validation for DSS prediction was 0.67 (95% confidence interval (CI), 0.63 to 0.70). The calibration curve at one year suggested that there was good consistency between the predicted DSS and the actual DSS probability. This study was the first to develop a disease-specific nomogram for predicting the prognosis of primary GSM patients after craniotomy, which can help clinicians immediately and accurately predict patient prognosis and conduct further treatment.

Indexed as

NomogramsAgedAge FactorsBrain NeoplasmsCraniotomyFemaleGliosarcomaHumansMaleMiddle AgedPrognosisProportional Hazards ModelsRegistriesSEER ProgramSurvival Analysis

Identifiers

PMID31341246
PMCPMC6656887
OpenAlexW2963051601

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.