Evidence map›Paper›PMID 39440248›Full record

ArticleFrontiers in neurology2024

The prognostic significance of synchronous metastasis in glioblastoma multiforme patients: a propensity score-matched analysis using SEER data.

Hui Shen, Qing Mei, Xubin Chai, Yuanfeng Jiang, Aihua Liu, Jiachun Liu

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Article in Frontiers in neurology, 2024. 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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1 · What the graph read from it

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5 · Who and what money

Authors and funding

6 authors.

Hui Shen *Department of Interventional Neuroradiology, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Qing Mei *Department of Neurology, Beijing Pinggu Hospital, Beijing, China.
Xubin Chai *Department of Interventional Neuroradiology, Beijing Tiantan Hospital, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Yuanfeng JiangDepartment of Interventional Neuroradiology, Sanbo Brain Hospital, Capital Medical University, Beijing, China.
Aihua LiuDepartment of Interventional Neuroradiology, Beijing Tiantan Hospital, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Jiachun LiuDepartment of Interventional Neuroradiology, Sanbo Brain Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Glioblastoma multiforme (GBM) with synchronous metastasis(SM) is a rare occurrence. We extracted the data of GBM patients from the SEER database to look into the incidence of SM in GBM, determine the prognostic significance of SM in GBM, and assess therapeutic options for patients presenting with SM. Methods: From 2004 to 2015, information on GBM patients was obtained from the Surveillance, Epidemiology, and End Results (SEER) database. The propensity score matching (PSM) method was employed to mitigate confounding factors between SM and non-SM groups, subsequently investigating the prognostic significance of SM in patients with GBM. Multivariate Cox proportional hazards regression analyses were employed to identify independent prognostic variables for GBM patients with SM. A forest plot was used to visualize the results. Results: A cohort of 19,708 patients was obtained from the database, among which 272 (1.4%) had SM at the time of diagnosis. Following PSM at a 3:1 ratio, in both univariate and multivariate cox regression analysis, SM (HR = 1.27, 95% CI: 1.09-1.46) was found to be an independent predictive predictor for GBM patients. Furthermore, the Cox proportional hazard forest plot demonstrated that independent risk variables for GBM patients with SM included age (Old vs. Young, HR = 1.44, 95% CI: 1.11-1.88), surgery (biopsy vs. no surgery, HR = 0.67, 95% CI: 0.46-0.96;Subtotal resection vs. no surgery, HR = 0.47, 95% CI: 0.32-0.68;Gross total resection vs. no surgery, HR = 0.44, 95% CI: 0.31-0.62), radiotherapy (HR = 0.58, 95% CI: 0.41-0.83), and chemotherapy (HR = 0.51, 95% CI: 0.36-0.72). Conclusion: The predictive value of SM in GBM was determined by this propensity-matched analysis using data from the SEER database. Radiotherapy, chemotherapy, and surgery constitute an effective treatment regimen for patients with SM. A more positive approach toward the use of aggressive treatment for GBM patients with SM may be warranted.

Indexed as

cancer-specific survivalglioblastoma multiformepropensity score matchingSEERsynchronous metastasis

Identifiers

PMID39440248
PMCPMC11493671

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