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. 2024 Apr 4;19(4):e0301443.
doi: 10.1371/journal.pone.0301443. eCollection 2024.

Prevalence and risk factors of early postoperative seizures in patients with glioma: A protocol for meta-analysis and systematic review

Bo Sun  1 , Wenpeng Lu  1 , Wangyang Yu  1 , Ye Tian  1 , Peng Wang  2   1
Affiliations

Prevalence and risk factors of early postoperative seizures in patients with glioma: A protocol for meta-analysis and systematic review

Bo Sun et al. PLoS One. .

Abstract

Introduction: Early postoperative seizures has been the most common clinical expression in gliomas; however, the incidence and risk factors for early postoperative seizures in gliomas are more controversial. This protocol describes a systematic review and meta-analysis to clarify the prevalence and risk factors of early postoperative seizures in patients with glioma.

Methods and analysis: Searches will be conducted on CNKI, WanFang, VIP, PubMed, Embase, Cochrane Library databases and Web of Science for the period from database inception to December 31st, 2023. Case-control and cohort studies of the incidence and risk factors for early postoperative seizures in all gliomas will be included. The primary outcome will be incidence, risk factors. Newcastle-Ottawa Scale was used for quality evaluation. Review of article screening, extracting data and risk of bias assessment will be repeated by two independent reviewers.

Result: This study will provide evidence for the risk factors and incidence of early postoperative seizures in patients with glioma.

Conclusion: Our study will provide evidence for the prevention of early postoperative seizures in glioma patients.

Trail registration: This protocol was registered in PROSPERO and registration number is CRD42023415658.

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Conflict of interest statement

I have read the journal’s policy and the authors of this manuscript have the following competing interests: [The authors have declared that no competing interests exist.]

Figures

Fig 1
Fig 1. Flow diagram of the study design.
*Consider, if feasible to do so, reporting the number of records identified from each database or register searched (rather than the total number across all databases/registers). **If automation tools were used, indicate how many records were excluded by a human and how many were excluded by automation tools [36].
See this image and copyright information in PMC

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