Evidence map›Paper›PMID 33430813›Full record

ArticleBMC cancer2021

Recent incidence trend of elderly patients with glioblastoma in the United States, 2000-2017.

Boran Chen, Chaoyue Chen, Yang Zhang, Jianguo Xu

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 68 citations in OpenAlex.

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  20. The apoptotic effect of garlicTurkish journal of biology = Turk biyoloji dergisi · 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

4 authors at 1 institution in 1 country.

Boran ChenDepartment of Neurosurgery, West China Hospital, Sichuan University, West China Hosptial, No. 37, GuoXue Alley, Chengdu, 610041, People's Republic of China.
Chaoyue ChenDepartment of Neurosurgery, West China Hospital, Sichuan University, West China Hosptial, No. 37, GuoXue Alley, Chengdu, 610041, People's Republic of China.
Yang ZhangDepartment of Neurosurgery, West China Hospital, Sichuan University, West China Hosptial, No. 37, GuoXue Alley, Chengdu, 610041, People's Republic of China.
Jianguo XuDepartment of Neurosurgery, West China Hospital, Sichuan University, West China Hosptial, No. 37, GuoXue Alley, Chengdu, 610041, People's Republic of China. drjianguoxu@gmail.com.ORCID http://orcid.org/0000-0001-6103-021X
Sichuan University · CN

Funding

1.3.5 Project for Disciplines of Excellence, West China Hospital, Sichuan University ZYJC18007
6 · The paper itself

Abstract

backgroundThe incidence of glioblastoma increases significantly with age. With the growing and aging population, there is a lack of comprehensive analysis of recent glioblastoma incidence trend in the United States. This study aims to provide in-depth description of the patterns of incidence trends and to examine the age-period-cohort effects to the trends of glioblastoma specific to elderly patients.

methodsThe incidence rates were age-adjusted and reported per 100,000 population. We calculated the annual percent change (APC) in incidence using the Joinpoint Regression Program and conducted an age-period-cohort analysis of elderly glioblastoma reported between 2000 and 2017 to the Surveillance Epidemiology and End Results (SEER) 18 registry database.

resultsThe overall incidence rate of elderly patients with glioblastoma was 13.16 per 100,000 (95% CI, 12.99-13.32) from 2000 to 2017. Non-Hispanic whites (20,406, 83.6%) made up the majority. The incidence rate of male was about 1.62 times that of female. The trend of incidence remained stable and there was a non-significant increasing tendency for all elderly patients (APC 0.3, 95% CI, - 0.1 to 0.7, p = 0.111). There was a significantly increasing incidence trend for non-Hispanic white (APC 0.6, 95% CI, 0.2 to 1.1, p = 0.013), supratentorial location (APC 0.7, 95% CI, 0.2 to 1.3, p = 0.016), tumor size < 4 cm (APC 2.5, 95% CI, 1.4 to 3.6, p < 0.001), and a significantly decreasing trend for overlapping/NOS location (APC -0.9, 95% CI, - 1.6 to - 0.2, p = 0.012), and unknown tumor size (APC -4.9, 95% CI, - 6.6 to - 3.3, p < 0.001). The age-period-cohort analysis showed the effect of age on incidence trends (p< 0.001, Wald test), while did not indicate the period and cohort effects of the incidence trends of glioblastoma (p = 0.063 and p =0.536, respectively, Wald test).

conclusionThe overall incidence of glioblastoma in the elderly population remained stable between 2000 and 2017. Period and cohort effects were not evident in the trend of glioblastoma incidence. Future population-based studies exploring the difference in the trend of glioblastoma incidence by specific molecular subgroups are warranted to further our understanding of the etiology of glioblastoma.

Indexed as

AgedAged, 80 and overAge FactorsCohort StudiesFemaleFollow-Up StudiesGlioblastomaHumansIncidenceMalePrognosisRegistriesSEER ProgramTime FactorsUnited StatesAge-adjusted incidence rateAge-period-cohort analysisAnnual percentage changeElderlyGlioblastomaJoin-point analysisSEER

Identifiers

PMID33430813
PMCPMC7802341
OpenAlexW3118426931

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.