A nomogram with Ki-67 in the prediction of postoperative recurrence and death for glioma

This study examined to evaluate the predictive value of a nomogram with Ki-67 in overall and disease-free survival in glioma patients, a total of 76 patients diagnosed with glioma by pathology in Tengzhou Central People's Hospital were enrolled. The baseline data and follow ups were retrospectively collected from medical records. The associations between Ki-67 and survival status were examined using log-rank test, univariate and multivariate Cox proportional hazard regression models. Calibrations were performed to validate the established nomograms. Ki-67 negative group showed of a longer OS survival time and a longer PFS survival time with log-rank test (x<sup>2</sup> = 16.101, P < 0.001 and x<sup>2</sup> = 16.961, P < 0.001). Age older than 50 years (HR = 2.074, 95% CI 1.097-3.923), abnormal treatment (HR = 2.932, 95% CI 1.343-6.403) and Ki-67 positive (HR = 2.722, 95% CI 1.097-6.755) were the independent predictive factors of death. High grade pathology (HR = 2.453, 95% CI 1.010-5.956) and Ki-67 positive (HR = 2.200, 95% CI 1.043-4.639) were the independent predictive factors of recurrence. The C-index for the nomogram of OS and PFS were 0.745 and 0.723, respectively. The calibration results showed that the nomogram could predict the overall and disease-free 1-year survival of glioma patients. In conclusion, the nomograms with Ki-67 as independent risk factor for OS and PFS could provide clinical consultation in the treatment and follow-up of malignant glioma.

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Publication Details

Journal
Scientific Reports
Published
2024-09-02
DOI
https://doi.org/10.1038/s41598-024-71275-9
Citations
6
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
2.63

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article

A nomogram with Ki-67 in the prediction of postoperative recurrence and death for glioma

Bo Yu, Nana Wang, Linlin Wu, Dongyuan Wang et al.
6 citations
Scientific Reports
Glioma Diagnosis and Treatment
2.63
article

A nomogram with Ki-67 in the prediction of postoperative recurrence and death for glioma

Bo Yu, Nana Wang, Linlin Wu, Dongyuan Wang, Fengfeng Li
article en
6 citations

Abstract

This study examined to evaluate the predictive value of a nomogram with Ki-67 in overall and disease-free survival in glioma patients, a total of 76 patients diagnosed with glioma by pathology in Tengzhou Central People's Hospital were enrolled. The baseline data and follow ups were retrospectively collected from medical records. The associations between Ki-67 and survival status were examined using log-rank test, univariate and multivariate Cox proportional hazard regression models. Calibrations were performed to validate the established nomograms. Ki-67 negative group showed of a longer OS survival time and a longer PFS survival time with log-rank test (x<sup>2</sup> = 16.101, P < 0.001 and x<sup>2</sup> = 16.961, P < 0.001). Age older than 50 years (HR = 2.074, 95% CI 1.097-3.923), abnormal treatment (HR = 2.932, 95% CI 1.343-6.403) and Ki-67 positive (HR = 2.722, 95% CI 1.097-6.755) were the independent predictive factors of death. High grade pathology (HR = 2.453, 95% CI 1.010-5.956) and Ki-67 positive (HR = 2.200, 95% CI 1.043-4.639) were the independent predictive factors of recurrence. The C-index for the nomogram of OS and PFS were 0.745 and 0.723, respectively. The calibration results showed that the nomogram could predict the overall and disease-free 1-year survival of glioma patients. In conclusion, the nomograms with Ki-67 as independent risk factor for OS and PFS could provide clinical consultation in the treatment and follow-up of malignant glioma.

Scientific ReportsVol. 14(1)
Xuzhou Medical College (CN), Tengzhou Central People's Hospital (CN)
Xuzhou Medical University
Openalex Percentile: Top 10%
Glioma Diagnosis and Treatment
2.63
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A nomogram with Ki-67 in the prediction of postoperative recurrence and death for glioma — Bo Yu, Nana Wang, et al. · Scientific Reports (2024) | TGRS Research Map | TGRS