Evidence map›Paper›PMID 40894022›Full record

ArticleResearch square2025

Survival Outcomes Associated with Antidepressant Use in Glioblastoma: A Cohort Study.

Yifei Sun, Mohammad Hamo, Travis Atchley, James M Markert, Burt Nabors, Dagoberto Estevez-Ordonez

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In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Yifei SunUniversity of Alabama at Birmingham.
Mohammad HamoUniversity of Alabama at Birmingham.
Travis AtchleyEmory University.
James M MarkertUniversity of Alabama at Birmingham.
Burt NaborsUniversity of Alabama at Birmingham.
Dagoberto Estevez-OrdonezUniversity of Miami & Jackson Health System.

Funding

UAB Research Education Program for Residents and Fellows in NeuroscienceR25NS079188 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI STANDAERT, DAVID G. · 2012 to 2022
$1.1M
NINDS NIH HHS R25 NS079188
6 · The paper itself

Abstract

Purpose: Glioblastoma is the most common primary brain malignancy and carries significant mortality. Preclinical studies have highlighted the efficacy of antidepressant therapy in inhibiting glioblastoma progression; however, real-world evidence remains conflicting. We sought to investigate the impact of different commonly utilized antidepressant therapies on survival in patients with glioblastoma. Methods: In total, 1464 consecutive patients with glioblastoma treated at a single institution from 2008 to 2023 were included for analysis. Multivariate cox regression analysis with antidepressant usage modeled as a time varying covariate was used to assess the effect of antidepressants while controlling for a priori selected clinical variables with known relevance to survival. Results: The median age at diagnosis was 62 (IQR 52-70) years with a median overall survival of 13.8 months. Of the cohort, 44% utilized antidepressants after diagnosis, with SSRIs as the most common class utilized (26%). The median duration of any antidepressant therapy was 111 (IQR 9-303) days. In a time varying, multivariate cox regression, usage of SSRIs (HR 1.4, 95%CI 1.21-1.62), SNRIs (HR 1.33, 95%CI 1.03-1.72), serotonin modulators (HR 1.61, 95%CI 1.40-1.86), and atypical antidepressants (HR 1.7, 95%CI 1.28-2.26) were associated with worse survival. Amongst SSRIs, only escitalopram (HR 1.33, 95%CI 1.10-1.60) and citalopram (HR 1.31, 95%CI 1.01-1.70) were associated with worse survival. Conclusions: SSRIs, SNRIs, serotonin modulators, and atypical antidepressants are associated with worse survival in patients with glioblastoma. Careful selection of antidepressant medication in patients with glioblastoma may be necessary to optimize outcomes.

Indexed as

AntidepressantsGlioblastomasurvival

Identifiers

PMID40894022
PMCPMC12393494

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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.