Evidence map›Paper›PMID 31202257›Full record

ArticleBosnian journal of basic medical sciences2019

Characteristics and prognostic factors of age-stratified high-grade intracranial glioma patients: A population-based analysis.

Yun Sun, Zhi-Yong Xiong, Peng-Fei Yan, Liang-Lei Jiang, Chuan-Sheng Nie, Xuan Wang

Open access · goldAbstract read
In one paragraph

Article in Bosnian journal of basic medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Review
  6. Article
  7. Journal of clinical medicine · 2022
    Article
  8. Article
  9. Article
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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

6 authors at 2 institutions in 1 country.

Yun SunDepartment of Neurosurgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. sunyunsy06@163.com.
Zhi-Yong Xiong
Peng-Fei Yan
Liang-Lei Jiang
Chuan-Sheng Nie
Xuan Wang
Huazhong University of Science and Technology · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated characteristics and different prognostic factors for survival in age-stratified high-grade glioma in a U.S. cohort. Eligible patients were identified in the Surveillance, Epidemiology, and End Results (SEER) registries and stratified into 3 age groups: 20-39 years old (1,043 patients), 40-59 years old (4,503 patients), and >60 years old (5,045 patients). Overall and cancer-related survival data were obtained. Cox models were built to analyze the outcomes and risk factors. It showed that race was a prognostic factor for survival in patients 40 to 59 years old and in patients ≥60 years old. Partial resection was associated with lower overall survival and cause-specific survival in all age groups (overall survival: 20-39 yr: HR = 6.41; 40-59 yr: HR = 4.84; >60 yr: HR = 5.06; cause-specific survival: 20-39 yr: HR = 5.87; 40-59 yr: HR = 4.01; >60 yr: HR = 3.36). The study highlights that, while some prognostic factors are universal, others are age-dependent. The effectiveness of treatment approaches differs for patients in different age groups. Results of this study may help to develop personalized treatment protocols for glioma patients of different ages.

Indexed as

AdultAgedAge FactorsBrain NeoplasmsFemaleGeographyGliomaHumansIncidenceMaleMiddle AgedPrognosisProportional Hazards ModelsRegistriesRetrospective StudiesRisk Factors

Identifiers

PMID31202257
PMCPMC6868482
OpenAlexW2947262397

What OpenQuestion holds

Textmetadata
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.