Evidence map›Paper›PMID 34387331›Full record

ArticleNeuro-oncology2022

Importance of the intersection of age and sex to understand variation in incidence and survival for primary malignant gliomas.

Gi-Ming Wang, Gino Cioffi, Nirav Patil, Kristin A Waite, Robert Lanese, Quinn T Ostrom, Carol Kruchko, Michael E Berens, James R Connor, Justin D Lathia and 2 more

Abstract read
In one paragraph

Article in Neuro-oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

58 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Childhood cancer risk in offspring of mothers occupationally exposed to hydrocarbon solvents.European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) · 2026
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  10. Serum response factor as a prognostic indicator of angiogenesis and early recurrence in Glioblastoma: a retrospective immunohistochemical study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Gi-Ming WangDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
Gino CioffiDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
Nirav PatilCentral Brain Tumor Registry of the United States (CBTRUS), Hinsdale, Illinois, USA.ORCID 0000-0001-8593-423X
Kristin A WaiteDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
Robert LaneseDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.
Quinn T OstromCentral Brain Tumor Registry of the United States (CBTRUS), Hinsdale, Illinois, USA.
Carol KruchkoCentral Brain Tumor Registry of the United States (CBTRUS), Hinsdale, Illinois, USA.ORCID 0000-0001-7212-035X
Michael E BerensCancer and Cell Biology Division, Translational Genomics Research Institute (TGEN), Phoenix, Arizona, USA.
James R ConnorDepartment of Neurosurgery, Penn State College of Medicine, Hershey, Pennsylvania, USA.
Justin D LathiaDepartment of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Joshua B RubinDepartments of Pediatrics and Neuroscience, Washington University School of Medicine, St. Louis, Missouri, USA.
Jill S Barnholtz-SloanDepartment of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.ORCID 0000-0001-6190-9304

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI JOHN N. NORTON · 1985 to 2026
$174.8M
CDC HHSNCI NIH HHS P30 CA014236
6 · The paper itself

Abstract

backgroundGliomas are the most common type of malignant brain and other CNS tumors, accounting for 80.8% of malignant primary brain and CNS tumors. They cause significant morbidity and mortality. This study investigates the intersection between age and sex to better understand variation of incidence and survival for glioma in the United States.

methodsIncidence data from 2000 to 2017 were obtained from CBTRUS, which obtains data from the NPCR and SEER, and survival data from the CDC's NPCR. Age-adjusted incidence rate ratios (IRR) per 100 000 were generated to compare male-to-female incidence by age group. Cox proportional hazard models were performed by age group, generating hazard ratios to assess male-to-female survival differences.

resultsOverall, glioma incidence was higher in males. Male-to-female incidence was lowest in ages 0-9 years (IRR: 1.04, 95% CI: 1.01-1.07, P = .003), increasing with age, peaking at 50-59 years (IRR: 1.56, 95% CI: 1.53-1.59, P < .001). Females had worse survival for ages 0-9 (HR: 0.93, 95% CI: 0.87-0.99), though male survival was worse for all other age groups, with the difference highest in those 20-29 years (HR: 1.36, 95% CI: 1.28-1.44). Incidence and survival differences by age and sex also varied by histological subtype of glioma.

conclusionsTo better understand the variation in glioma incidence and survival, investigating the intersection of age and sex is key. The current work shows that the combined impact of these variables is dependent on glioma subtype. These results contribute to the growing understanding of sex and age differences that impact cancer incidence and survival.

Indexed as

Central Nervous System NeoplasmsGliomaAdultBrainChildChild, PreschoolFemaleHumansIncidenceInfantInfant, NewbornMaleMiddle AgedProportional Hazards ModelsSEER ProgramUnited StatesageCBTRUSgliomaincidencesex differencessurvival

Identifiers

PMID34387331
PMCPMC8804884

What OpenQuestion holds

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LicenceCC BY-NC
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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.