Age and surgical outcome of low-grade glioma in Sweden-Reference-Cited by-同舟云学术

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Age and surgical outcome of low-grade glioma in Sweden

Published:2018-06-13 Issue:4 Volume:138 Page:359-368
ISSN:0001-6314
Container-title:Acta Neurologica Scandinavica
language:en
Short-container-title:Acta Neurol Scand

Author:

Corell A.¹²^ORCID,Carstam L.¹²,Smits A.²³,Henriksson R.⁴⁵,Jakola A. S.¹²⁶

Affiliation:

1. Department of Neurosurgery; Sahlgrenska University Hospital; Gothenburg Sweden

2. Institute of Neuroscience and Physiology; University of Gothenburg; Sahlgrenska Academy; Gothenburg Sweden

3. Department of Neuroscience, Neurology; Uppsala University; Uppsala Sweden

4. Regional Cancer Centre Stockholm; Gotland Sweden

5. Department of Radiation Science and Oncology; University hospital; Umeå Sweden

6. Department of Neurosurgery; St. Olavs University Hospital; Trondheim Norway

Funder

Gothenburg Foundation for Neurological Research

Agreement concerning research and education of doctors

Vetenskapsrådet

Publisher

Wiley

Subject

Neurology (clinical),Neurology,General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/ane.12973/fullpdf

Reference49 articles.

1. Surgical resection versus watchful waiting in low-grade gliomas;Jakola;Ann Oncol,2017

2. Spontaneous and therapeutic prognostic factors in adult hemispheric World Health Organization Grade II gliomas: a series of 1097 cases: clinical article;Capelle;J Neurosurg,2013

3. Preoperative prognostic classification system for hemispheric low-grade gliomas in adults;Chang;J Neurosurg,2008

4. “Prognostic factors for survival in adult patients with cerebral low-grade glioma”, (in eng);Pignatti;J Clin Oncol,2002

5. Patterns of care and treatment outcomes in older adults with low grade glioma: a 50-year experience;Youland;J Neurooncol,2017

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2. Risk prediction and treatment assessment in glioma patients using SEER database: a prospective observational study;BMJ Open;2023-12

3. Prognosis Individualized: Survival predictions for WHO grade II and III gliomas with a machine learning-based web application;npj Digital Medicine;2023-10-26

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