External validation of the diffuse intrinsic pontine glioma survival prediction model: a collaborative report from the International DIPG Registry and the SIOPE DIPG Registry
We aimed to perform external validation of the recently developed survival prediction model for diffuse intrinsic pontine glioma (DIPG), and discuss its utility. The DIPG survival prediction model was developed in a cohort of patients from the Netherlands, United Kingdom and Germany, registered in t...
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| Vydáno v: | Journal of neuro-oncology Ročník 134; číslo 1; s. 231 - 240 |
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| Hlavní autoři: | , , , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
Springer US
01.08.2017
Springer Nature B.V |
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| ISSN: | 0167-594X, 1573-7373, 1573-7373 |
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| Abstract | We aimed to perform external validation of the recently developed survival prediction model for diffuse intrinsic pontine glioma (DIPG), and discuss its utility. The DIPG survival prediction model was developed in a cohort of patients from the Netherlands, United Kingdom and Germany, registered in the SIOPE DIPG Registry, and includes age <3 years, longer symptom duration and receipt of chemotherapy as favorable predictors, and presence of ring-enhancement on MRI as unfavorable predictor. Model performance was evaluated by analyzing the discrimination and calibration abilities. External validation was performed using an unselected cohort from the International DIPG Registry, including patients from United States, Canada, Australia and New Zealand. Basic comparison with the results of the original study was performed using descriptive statistics, and univariate- and multivariable regression analyses in the validation cohort. External validation was assessed following a variety of analyses described previously. Baseline patient characteristics and results from the regression analyses were largely comparable. Kaplan–Meier curves of the validation cohort reproduced separated groups of standard (n = 39), intermediate (n = 125), and high-risk (n = 78) patients. This discriminative ability was confirmed by similar values for the hazard ratios across these risk groups. The calibration curve in the validation cohort showed a symmetric underestimation of the predicted survival probabilities. In this external validation study, we demonstrate that the DIPG survival prediction model has acceptable cross-cohort calibration and is able to discriminate patients with short, average, and increased survival. We discuss how this clinico-radiological model may serve a useful role in current clinical practice. |
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| AbstractList | We aimed to perform external validation of the recently developed survival prediction model for diffuse intrinsic pontine glioma (DIPG), and discuss its utility. The DIPG survival prediction model was developed in a cohort of patients from the Netherlands, United Kingdom and Germany, registered in the SIOPE DIPG Registry, and includes age <3 years, longer symptom duration and receipt of chemotherapy as favorable predictors, and presence of ring-enhancement on MRI as unfavorable predictor. Model performance was evaluated by analyzing the discrimination and calibration abilities. External validation was performed using an unselected cohort from the International DIPG Registry, including patients from United States, Canada, Australia and New Zealand. Basic comparison with the results of the original study was performed using descriptive statistics, and univariate- and multivariable regression analyses in the validation cohort. External validation was assessed following a variety of analyses described previously. Baseline patient characteristics and results from the regression analyses were largely comparable. Kaplan-Meier curves of the validation cohort reproduced separated groups of standard (n = 39), intermediate (n = 125), and high-risk (n = 78) patients. This discriminative ability was confirmed by similar values for the hazard ratios across these risk groups. The calibration curve in the validation cohort showed a symmetric underestimation of the predicted survival probabilities. In this external validation study, we demonstrate that the DIPG survival prediction model has acceptable cross-cohort calibration and is able to discriminate patients with short, average, and increased survival. We discuss how this clinico-radiological model may serve a useful role in current clinical practice.We aimed to perform external validation of the recently developed survival prediction model for diffuse intrinsic pontine glioma (DIPG), and discuss its utility. The DIPG survival prediction model was developed in a cohort of patients from the Netherlands, United Kingdom and Germany, registered in the SIOPE DIPG Registry, and includes age <3 years, longer symptom duration and receipt of chemotherapy as favorable predictors, and presence of ring-enhancement on MRI as unfavorable predictor. Model performance was evaluated by analyzing the discrimination and calibration abilities. External validation was performed using an unselected cohort from the International DIPG Registry, including patients from United States, Canada, Australia and New Zealand. Basic comparison with the results of the original study was performed using descriptive statistics, and univariate- and multivariable regression analyses in the validation cohort. External validation was assessed following a variety of analyses described previously. Baseline patient characteristics and results from the regression analyses were largely comparable. Kaplan-Meier curves of the validation cohort reproduced separated groups of standard (n = 39), intermediate (n = 125), and high-risk (n = 78) patients. This discriminative ability was confirmed by similar values for the hazard ratios across these risk groups. The calibration curve in the validation cohort showed a symmetric underestimation of the predicted survival probabilities. In this external validation study, we demonstrate that the DIPG survival prediction model has acceptable cross-cohort calibration and is able to discriminate patients with short, average, and increased survival. We discuss how this clinico-radiological model may serve a useful role in current clinical practice. We aimed to perform external validation of the recently developed survival prediction model for diffuse intrinsic pontine glioma (DIPG), and discuss its utility. The DIPG survival prediction model was developed in a cohort of patients from the Netherlands, United Kingdom and Germany, registered in the SIOPE DIPG Registry, and includes age <3 years, longer symptom duration and receipt of chemotherapy as favorable predictors, and presence of ring-enhancement on MRI as unfavorable predictor. Model performance was evaluated by analyzing the discrimination and calibration abilities. External validation was performed using an unselected cohort from the International DIPG Registry, including patients from United States, Canada, Australia and New Zealand. Basic comparison with the results of the original study was performed using descriptive statistics, and univariate- and multivariable regression analyses in the validation cohort. External validation was assessed following a variety of analyses described previously. Baseline patient characteristics and results from the regression analyses were largely comparable. Kaplan–Meier curves of the validation cohort reproduced separated groups of standard (n = 39), intermediate (n = 125), and high-risk (n = 78) patients. This discriminative ability was confirmed by similar values for the hazard ratios across these risk groups. The calibration curve in the validation cohort showed a symmetric underestimation of the predicted survival probabilities. In this external validation study, we demonstrate that the DIPG survival prediction model has acceptable cross-cohort calibration and is able to discriminate patients with short, average, and increased survival. We discuss how this clinico-radiological model may serve a useful role in current clinical practice. |
| Author | Kaspers, Gertjan J. L. van Vuurden, Dannis G. Lane, Adam Jansen, Marc H. A. Leach, James Jones, Blaise V. Sanchez, Esther Chaney, Brooklyn Fouladi, Maryam Doughman, Renee Vandertop, William P. Heymans, Martijn W. Veldhuijzen van Zanten, Sophie E. M. Hoffman, Lindsey M. Baugh, Joshua |
| Author_xml | – sequence: 1 givenname: Sophie E. M. orcidid: 0000-0002-3888-0977 surname: Veldhuijzen van Zanten fullname: Veldhuijzen van Zanten, Sophie E. M. email: s.veldhuijzen@vumc.nl organization: Department of Paediatrics, Division of Oncology/Haematology, VU University Medical Center (VUmc), Department of Paediatric Oncology/Haematology, VU University Medical Center – sequence: 2 givenname: Adam surname: Lane fullname: Lane, Adam organization: Department of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Department of Pediatrics, Cancer and Blood Diseases Institute, Cincinnati Children’s Hospital Medical Center – sequence: 3 givenname: Martijn W. surname: Heymans fullname: Heymans, Martijn W. organization: Department of Epidemiology and Biostatistics, VU University Medical Center (VUmc) – sequence: 4 givenname: Joshua surname: Baugh fullname: Baugh, Joshua organization: Department of Pediatrics, Cancer and Blood Diseases Institute, Cincinnati Children’s Hospital Medical Center – sequence: 5 givenname: Brooklyn surname: Chaney fullname: Chaney, Brooklyn organization: Department of Pediatrics, Cancer and Blood Diseases Institute, Cincinnati Children’s Hospital Medical Center – sequence: 6 givenname: Lindsey M. surname: Hoffman fullname: Hoffman, Lindsey M. organization: Department of Pediatrics, Cancer and Blood Diseases Institute, Cincinnati Children’s Hospital Medical Center – sequence: 7 givenname: Renee surname: Doughman fullname: Doughman, Renee organization: Department of Pediatrics, Cancer and Blood Diseases Institute, Cincinnati Children’s Hospital Medical Center – sequence: 8 givenname: Marc H. A. surname: Jansen fullname: Jansen, Marc H. A. organization: Department of Paediatrics, Division of Oncology/Haematology, VU University Medical Center (VUmc) – sequence: 9 givenname: Esther surname: Sanchez fullname: Sanchez, Esther organization: Department of Radiology & Nuclear Medicine, VU University Medical Center (VUmc) – sequence: 10 givenname: William P. surname: Vandertop fullname: Vandertop, William P. organization: Department of Neurosurgery, Neurosurgical Center Amsterdam – sequence: 11 givenname: Gertjan J. L. surname: Kaspers fullname: Kaspers, Gertjan J. L. organization: Department of Paediatrics, Division of Oncology/Haematology, VU University Medical Center (VUmc), Academy of Princess Máxima Center for Pediatric Oncology – sequence: 12 givenname: Dannis G. surname: van Vuurden fullname: van Vuurden, Dannis G. organization: Department of Paediatrics, Division of Oncology/Haematology, VU University Medical Center (VUmc) – sequence: 13 givenname: Maryam surname: Fouladi fullname: Fouladi, Maryam organization: Department of Epidemiology and Biostatistics, VU University Medical Center (VUmc) – sequence: 14 givenname: Blaise V. surname: Jones fullname: Jones, Blaise V. organization: Department of Radiology, Cincinnati Children’s Hospital Medical Center – sequence: 15 givenname: James surname: Leach fullname: Leach, James organization: Department of Radiology, Cincinnati Children’s Hospital Medical Center |
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| Keywords | Cox proportional hazards modeling Discrimination Calibration External validation Prognostic modeling |
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