Evidence map›Paper›PMID 33680971›Full record

ArticleFrontiers in oncology2021

Sex Differences in Time to Treat and Outcomes for Gliomas.

Nickolas Stabellini, Halle Krebs, Nirav Patil, Kristin Waite, Jill S Barnholtz-Sloan

Abstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–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

21 citing papers in PubMed.

  1. Review
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  3. Multimodal Explainable Artificial Intelligence for Prognostic Stratification of Patients With Glioblastoma.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025
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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

5 authors.

Nickolas StabelliniDepartment of Population Health and Quantitative Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, United States.
Halle KrebsThe Ohio State University, Department of Biology, Columbus, OH, United States.
Nirav PatilDepartment of Population Health and Quantitative Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, United States.
Kristin WaiteDepartment of Population Health and Quantitative Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, United States.
Jill S Barnholtz-SloanDepartment of Population Health and Quantitative Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGliomas are the most common type of primary malignant brain tumor in adults, representing one third of all primary and central nervous system (CNS) tumors and 80% of malignant tumors diagnosed in the Western world. Epidemiological data indicate that the overall incidence and mortality of cancer is higher in males, while females have a better prognosis. The goal of this study is to determine whether there are sex differences in the time to treat and clinical outcomes in patients with glioma.

methodsGlioblastoma (GB) and Lower Grade Glioma (LGG) patients were defined per the Central Brain Tumor Registry of the United States (CBTRUS) from the National Cancer Database (NCDB) for diagnosis years 2004 to 2016. Associations between sex and time to treatment variables as well as associations between sex and multiple clinical outcomes were assessed using univariable and multivariable models.

resultsA total of 176,100 patients were used for analysis (124,502 GBM and 51,598 LGG). Males had a statistically significant association with >7 days to surgery (OR = 1.09, CI 1.05-1.13, p < 0.001) but this association was not observed in the multivariable model (OR = 1.05, CI 0.96-1.16, p = 0.25). After adjustment for key variables including time to treat variables, males with GB and LGG had a higher risk of death (HR = 1.11, CI 1.09-1.13, p < 0.001, HR = 1.09, CI 1.03-1.15, p < 0.001; respectfully). Sex differences in 90-day mortality for GBM were not found after adjustment (OR for males = 0.99, CI 0.91-1.08, p = 0.93). For LGG, both the univariable and multivariable logistic regression models showed no sex differences in 90-day mortality (OR for males = 1.03, CI 0.94-1.12, p = 0.45; multivariable OR for males = 0.81, CI 0.62-1.06, p = 0.13).

conclusionsBased on NCDB data, there were no statistically significant differences in time to treatment between males and females, however males had a higher proportion of GB and LGG as well as a higher risk of death compared to females.

Indexed as

glioblastomagliomasNational Cancer Databaseoutcomessex differencestreatment

Identifiers

PMID33680971
PMCPMC7933512

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