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Prognostic importance of red blood cell distribution width in patients with glioma: A meta‑analysis

  • Authors:
    • Yao Chen
    • Feng Chen
    • Ye-Xin Luo
    • Lin Xiong
  • View Affiliations / Copyright

    Affiliations: Radiation Therapy Center, Chongqing University Cancer Hospital, Chongqing 400030, P.R. China, Pre‑Hospital Emergency Department, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing 400014, P.R. China, General Internal Medicine, Chongqing University Cancer Hospital, Chongqing 400030, P.R. China, Medical Department, Chongqing University Cancer Hospital, Chongqing 400030, P.R. China
    Copyright: © Chen et al. This is an open access article distributed under the terms of Creative Commons Attribution License [CC BY_NC 4.0].
  • Article Number: 471
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    Published online on: August 7, 2025
       https://doi.org/10.3892/ol.2025.15217
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Abstract

The present study aimed to investigate whether red blood cell distribution width (RDW) was an independent prognosis factor for patients with glioma after surgery. Potential studies were found in four databases including PubMed, Embase, China National Knowledge Infrastructure and the Cochrane Library on 21st July, 2022. To evaluate the prognosis after surgery, hazard ratios (HRs) and 95% confidence intervals (CIs) were pooled to calculate the overall survival (OS) of patients with glioma. Stata V16.0 software was used for data analysis. A total of 8 studies were included, involving 1,468 patients. After collecting and analyzing the data, RDW was demonstrated to be a prognostic factor for OS of patients with glioma (HR=1.51; I2=0.00%; 95% CI, 1.29‑1.74; P<0.01). Patients with high preoperative RDW levels had a high risk of poor survival after neurosurgery. High preoperative RDW levels may be associated with poor prognosis and warrant further clinical attention.
View Figures

Figure 1

Flowchart of study selection.

Figure 2

Overall survival of high-RDW group
and low-RDW group. RDW, red blood cell distribution width; CI,
confidence interval.

Figure 3

Funnel plot of overall survival. CI,
confidence interval.

Figure 4

Subgroup analysis based on RDW value
of 13.5.

Figure 5

Meta-regression analysis. RDW, red
blood cell distribution width.

Figure 6

Sensitivity analysis. CI, confidence
interval.
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Copy and paste a formatted citation
Spandidos Publications style
Chen Y, Chen F, Luo Y and Xiong L: Prognostic importance of red blood cell distribution width in patients with glioma: A meta‑analysis. Oncol Lett 30: 471, 2025.
APA
Chen, Y., Chen, F., Luo, Y., & Xiong, L. (2025). Prognostic importance of red blood cell distribution width in patients with glioma: A meta‑analysis. Oncology Letters, 30, 471. https://doi.org/10.3892/ol.2025.15217
MLA
Chen, Y., Chen, F., Luo, Y., Xiong, L."Prognostic importance of red blood cell distribution width in patients with glioma: A meta‑analysis". Oncology Letters 30.4 (2025): 471.
Chicago
Chen, Y., Chen, F., Luo, Y., Xiong, L."Prognostic importance of red blood cell distribution width in patients with glioma: A meta‑analysis". Oncology Letters 30, no. 4 (2025): 471. https://doi.org/10.3892/ol.2025.15217
Copy and paste a formatted citation
x
Spandidos Publications style
Chen Y, Chen F, Luo Y and Xiong L: Prognostic importance of red blood cell distribution width in patients with glioma: A meta‑analysis. Oncol Lett 30: 471, 2025.
APA
Chen, Y., Chen, F., Luo, Y., & Xiong, L. (2025). Prognostic importance of red blood cell distribution width in patients with glioma: A meta‑analysis. Oncology Letters, 30, 471. https://doi.org/10.3892/ol.2025.15217
MLA
Chen, Y., Chen, F., Luo, Y., Xiong, L."Prognostic importance of red blood cell distribution width in patients with glioma: A meta‑analysis". Oncology Letters 30.4 (2025): 471.
Chicago
Chen, Y., Chen, F., Luo, Y., Xiong, L."Prognostic importance of red blood cell distribution width in patients with glioma: A meta‑analysis". Oncology Letters 30, no. 4 (2025): 471. https://doi.org/10.3892/ol.2025.15217
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