Prognostic Nomograms for Primary High‐Grade Glioma Patients in Adult: A Retrospective Study Based on the SEER Database

Yang, Yi; Yao, Maojin; Long, Shengrong; Xu, Cheng‐Ran; Li, Lun; Li, Yinghui; Li, Guangyu

doi:10.1155/2020/1346340

Cited by 17 publications

(25 citation statements)

References 54 publications

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“…Pignatti [41] de ned high-risk patients with low-grade glioma as the largest diameter of the tumour ≥ 6 cm, and Gorlia [42] suggested that the numerical value was accurate to 5cm. Then the value was rapidly lowered to 2.6cm in patients with high-grade gliomas [43]. Taken together, it is more reasonable than the value was determined to be 4.9cm by our research and the value would make the parameter more suitable to serve as a prognostic and/or predictive factor for LGGs.…”

Section: According To Our Nomograms Age At Diagnosis Was Con Rmed Asmentioning

confidence: 60%

“…Many previous studies have shown the accurate predictive ability of nomograms for predicting overall survival in patients with low-grade endometrial stromal sarcoma [10], adrenocortical carcinoma [15], hepatoblastoma [16], and many other system cancers. So far, only a few sporadic studies have investigated the straightforward application of nomograms in glioma based on the SEER database [17][18][19][20]. WHO grade II/III glioma is a relatively rare tumour, with no individualized prognostic predictive tool to manage follow-up and aid accurate prognostic assessment.…”

Section: Discussionmentioning

confidence: 99%

“…Compared to glioblastoma, LGGs were known to have a better prognosis and more prolonged survival and shared some similar molecular alterations [21,22], clinical and pathological features [21], or even treatment modalities [22,23]. Therefore, LGGs could not be clustered in the group of low-grade gliomas or high-grade glioma simply, and both the research of Zhao et al [17] and the study of Yang et al [20] were not well applicable for LGGs. Furthermore, the OS and CSS nomograms in the current research t well with our observation of survival for LGGs, and the inclusion of each covariable in the models may improve the accuracy of prognosis prediction.…”

Section: Discussionmentioning

confidence: 99%

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Nomograms individually predict the overall survival and cancer-specific survival of adult patients with hemispheres lower-grade gliomas: A SEER-Based Study

Che

Lyu

et al. 2021

Preprint

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(1) Background: The 2016 WHO classification of Tumors of the Central Nervous System brought an escalating research interest in lower-grade gliomas (LGGs). This study aims to establish individualized prognostic nomograms to predict the overall survival (OS) and cancer-specific survival (CSS) of patients with LGGs;(2) Methods: We searched the Surveillance, Epidemiology, and End Results (SEER) database for adult patients diagnosed with LGGs from 1998 to 2016. The patient data set selected from SEER was randomly divided into training and validation data sets at a ratio of 7:3. The significant prognostic factors were identified by using multivariate regression models in the training dataset. Then OS and CSS nomograms were developed and internally validated;(3) Results: After the inclusion and exclusion criteria set, a total of 12,630 patients were enrolled in our research. The prognosticators for OS contained age, sex, race, marital status, surgery, radiotherapy, chemotherapy, tumor size/site, laterality, WHO grade, while only chemotherapy among the 11 indicators mentioned above was not related to CSS. The c-indexes of OS and CSS of the validation cohort were 0.749 and 0.761, respectively. The calibration curve plots showed that the predicted probability of 3-, 5-, and 8-years survival rates corresponded well with the actual observed OS and CSS rates;(4) Conclusion: The present study using the SEER database constructed and internally validated prognostic nomograms to predict the OS and CSS of patients with LGGs. The nomograms showed perfect predictive abilities and may be useful clinical tools for decision aids and better supporting patient counselling.

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Section: According To Our Nomograms Age At Diagnosis Was Con Rmed Asmentioning

confidence: 60%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Nomograms individually predict the overall survival and cancer-specific survival of adult patients with hemispheres lower-grade gliomas: A SEER-Based Study

Che

Lyu

et al. 2021

Preprint

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“…In the case of glioma, pediatric and adult patients exhibited apparent epidemiological and biological characteristics distinctions between and within different WHO grades (Shaw and Wisoff, 2003;Diwanji and Engelman et al, 2017;Zapotocky and Ramaswamy et al, 2018;Jiang and Yang et al, 2019). Tools for predicting the prognosis of adult low-grade and high-grade glioma have been well developed (Zhao and Chen et al, 2019;Yang and Yao et al, 2020), but there was inadequate clinical evidence on the prognosis of pediatric LGGs. Therefore, we developed a prognostic nomogram in the current study to predict pediatric patients' prognosis with LGGs using the data derived from the SEER database.…”

Section: Discussionmentioning

confidence: 99%

A Prognostic Nomogram and Risk Stratification in Pediatric With Hemisphere Lower-Grade Gliomas: a SEER-Based Study 1998-2016

Che¹,

Xu²,

Xu³

et al. 2021

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BackgroundPediatric lower-grade gliomas (pLGGs) are a rare intracranial tumor that lacks a prognostic prediction model for clinical application. The present study aimed to construct a novel nomogram to predict overall survival for pLGGs.MethodsBased on data from the Surveillance, Epidemiology, and End Results (SEER) database, 746 pediatrics diagnosed with cerebral hemispheres lower-grade gliomas from 1998 to 2016 were enrolled for the research. All patients were randomly divided into training and validation datasets at a ratio of 7:3. The Cox and stepwise regression analysis was used to screen the independent prognosticators for developing the nomogram. The discriminating abilities and calibration of the nomogram were assessed by concordance index (C-index), receiver operating characteristic curves (ROCs), area under the ROCs (AUCs), and calibration curves. The accuracy and net benefits of the nomogram were evaluated by comparing it to the traditional prediction method by the net reclassification improvement (NRI), the integrated discrimination improvement (IDI), and the decision curve analysis (DCA). Finally, we employed risk stratifications for pLGGs. ResultsFive independent predicted indicators were associated with OS rates. The constructed nomogram showed reliable discrimination by the C-indexes of the novel nomogram for OS, which were 0.830 and 0.871, much higher than that in the traditional prediction method (0.749 and 0.728, respectively). The plotted calibration curves showed good consistency between the prediction survival rates and actual observed survival rates in both the training and validation dataset. IDI, NRI, and DCA showed the nomogram had a comparable clinical application to the traditional prediction method. Kaplan-Meier survival curves showed a significant difference among the three risk classifications.ConclusionIn conclusion, we developed a novel prognostic nomogram with improved accuracy, better clinical utility, and a more precise prediction of OS rates for hemisphere pLGGs than the traditional prediction method.

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“…Recognized risk factor for GBM is exposure to ionizing radiation, and it can be potentially altered [7]. Additionally, several studies have explored the factors that affect the overall survival and prognosis of GBM, including age at diagnosis, sex, surgery, radiotherapy and chemotherapy, etc [8][9][10][11]. Prognostic factors to predict diseases-speci c survival (DSS) of patients are generally less studied.…”

Section: Introductionmentioning

confidence: 99%

Prognostic Factors and Diseases-Specific Survival Outcome in Patients with Glioblastoma: A Population-Based Study

Song

Zhang

et al. 2020

Preprint

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ObjectiveThis study aimed to determine the prognostic factors for disease-specific survival (DSS) of glioblastoma (GBM) and establish a corresponding effective nomogram for clinical prediction.Methods This study was based on Surveillance, Epidemiology, and End Results database between 2004 and 2015. Kaplan-Meier survival analysis was used to evaluate the effect of various prognostic factors on DSS. Lasso regression was used to determine the independent prognostic factors of DSS and multivariate cox regression analysis was performed correspondingly. Additional restricted cubic spline cox regression was used to analyze the trend of the risk effect (hazard ratio) of continuous variables on DSS. Based on the multivariate cox regression model, a nomogram was established to predict DSS. ResultsThe average age at diagnosis of all enrolled patients was 59.8±12.2 years, of which 40.5% were women and 59.5% were men. Lasso regression analysis showed that age at diagnosis, sex, marital status, race, tumor size, primary site, laterality, surgery, radiotherapy and chemotherapy, radiotherapy sequence with surgery, and year of diagnosis were independent prognostic factors for DSS. Multivariate cox regression analysis showed that elderly, males, unmarried status, larger tumors were all risk factors for DSS. Restricted cubic spline cox regression showed that the risk of death from GBM was significantly increased for the elderly, especially older than 75 years. When the tumor was smaller than 75mm, an increasing risk linearly was associated with DSS, but the risk effect remained constant after 75mm. Constructing the nomogram to predict the DSS probability of 1-, 3- and 5-year respectively, and its good predictive performance was proved by the calibration curve.ConclusionThe advanced age was one of the significant risk factors for GBM. How the change of tumor size affected DSS needed further study and discussion. The established nomogram was robust in predicting 1-, 3-, and 5- year DSS.

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Prognostic Nomograms for Primary High‐Grade Glioma Patients in Adult: A Retrospective Study Based on the SEER Database

Cited by 17 publications

References 54 publications

Nomograms individually predict the overall survival and cancer-specific survival of adult patients with hemispheres lower-grade gliomas: A SEER-Based Study

Nomograms individually predict the overall survival and cancer-specific survival of adult patients with hemispheres lower-grade gliomas: A SEER-Based Study

A Prognostic Nomogram and Risk Stratification in Pediatric With Hemisphere Lower-Grade Gliomas: a SEER-Based Study 1998-2016

Prognostic Factors and Diseases-Specific Survival Outcome in Patients with Glioblastoma: A Population-Based Study

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