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A nomogram with Ki-67 in the prediction of postoperative recurrence and death for glioma
by
Wu, Linlin
, Yu, Bo
, Wang, Dongyuan
, Li, Fengfeng
, Wang, Nana
in
631/378/1689
/ 631/67
/ 692/308/1426
/ Adult
/ Aged
/ Brain Neoplasms - metabolism
/ Brain Neoplasms - mortality
/ Brain Neoplasms - pathology
/ Brain Neoplasms - surgery
/ Death
/ Disease-Free Survival
/ Female
/ Glioma
/ Glioma - metabolism
/ Glioma - mortality
/ Glioma - pathology
/ Glioma - surgery
/ Humanities and Social Sciences
/ Humans
/ Ki-67
/ Ki-67 Antigen - metabolism
/ Male
/ Medical records
/ Middle Aged
/ multidisciplinary
/ Neoplasm Recurrence, Local
/ Nomogram
/ Nomograms
/ Pathology
/ Patients
/ Prognosis
/ Proportional Hazards Models
/ Recurrence
/ Regression analysis
/ Retrospective Studies
/ Risk factors
/ Science
/ Science (multidisciplinary)
/ Survival
2024
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A nomogram with Ki-67 in the prediction of postoperative recurrence and death for glioma
by
Wu, Linlin
, Yu, Bo
, Wang, Dongyuan
, Li, Fengfeng
, Wang, Nana
in
631/378/1689
/ 631/67
/ 692/308/1426
/ Adult
/ Aged
/ Brain Neoplasms - metabolism
/ Brain Neoplasms - mortality
/ Brain Neoplasms - pathology
/ Brain Neoplasms - surgery
/ Death
/ Disease-Free Survival
/ Female
/ Glioma
/ Glioma - metabolism
/ Glioma - mortality
/ Glioma - pathology
/ Glioma - surgery
/ Humanities and Social Sciences
/ Humans
/ Ki-67
/ Ki-67 Antigen - metabolism
/ Male
/ Medical records
/ Middle Aged
/ multidisciplinary
/ Neoplasm Recurrence, Local
/ Nomogram
/ Nomograms
/ Pathology
/ Patients
/ Prognosis
/ Proportional Hazards Models
/ Recurrence
/ Regression analysis
/ Retrospective Studies
/ Risk factors
/ Science
/ Science (multidisciplinary)
/ Survival
2024
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A nomogram with Ki-67 in the prediction of postoperative recurrence and death for glioma
by
Wu, Linlin
, Yu, Bo
, Wang, Dongyuan
, Li, Fengfeng
, Wang, Nana
in
631/378/1689
/ 631/67
/ 692/308/1426
/ Adult
/ Aged
/ Brain Neoplasms - metabolism
/ Brain Neoplasms - mortality
/ Brain Neoplasms - pathology
/ Brain Neoplasms - surgery
/ Death
/ Disease-Free Survival
/ Female
/ Glioma
/ Glioma - metabolism
/ Glioma - mortality
/ Glioma - pathology
/ Glioma - surgery
/ Humanities and Social Sciences
/ Humans
/ Ki-67
/ Ki-67 Antigen - metabolism
/ Male
/ Medical records
/ Middle Aged
/ multidisciplinary
/ Neoplasm Recurrence, Local
/ Nomogram
/ Nomograms
/ Pathology
/ Patients
/ Prognosis
/ Proportional Hazards Models
/ Recurrence
/ Regression analysis
/ Retrospective Studies
/ Risk factors
/ Science
/ Science (multidisciplinary)
/ Survival
2024
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A nomogram with Ki-67 in the prediction of postoperative recurrence and death for glioma
Journal Article
A nomogram with Ki-67 in the prediction of postoperative recurrence and death for glioma
2024
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Overview
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
2
= 16.101, P < 0.001 and x
2
= 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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