Consensus core clinical data elements for meningiomas (v2021.1)

Author:

Nassiri Farshad123,Wang Justin Z123ORCID,Au Karolyn4,Barnholtz-Sloan Jill5,Jenkinson Michael D6,Drummond Kate7,Zhou Yueren8,Snyder James M9,Brastianos Priscilla10,Santarius Thomas11,Suppiah Suganth123,Poisson Laila8,Gaillard Francesco12,Rosenthal Mark13,Kaufmann Timothy14,Tsang Derek S3,Aldape Kenneth15,Zadeh Gelareh123

Affiliation:

1. MacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, Ontario, Canada

2. Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada

3. Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada

4. Division of Neurosurgery, Department of Surgery, University of Alberta, Edmonton, Alberta, Canada

5. Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, Ohio, USA

6. Department of Neurosurgery, University of Liverpool, Liverpool, UK

7. Department of Neurosurgery, The Royal Melbourne Hospital, Melbourne, Victoria, Australia

8. Department of Biostatistics, Henry Ford Health System, Detroit, Michigan, USA

9. Department of Neurology, Henry Ford Health System, Detroit, Michigan, USA

10. Dana Farber/Harvard Cancer Center, Massachusetts General Hospital, Boston, Massachusetts, USA

11. Department of Neurosurgery, Cambridge University Hospitals, Cambridge, UK

12. Department of Radiology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia

13. Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia

14. Department of Radiology, The Mayo Clinic, Rochester, Minnesota, USA

15. National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA

Abstract

Abstract Background With increasing molecular analyses of meningiomas, there is a need to harmonize language used to capture clinical data across centers to ensure that molecular alterations are appropriately linked to clinical variables of interest. Here the International Consortium on Meningiomas presents a set of core and supplemental meningioma-specific common data elements (CDEs) to facilitate comparative and pooled analyses. Methods The generation of CDEs followed the 4-phase process similar to other National Institute of Neurological Disorders and Stroke (NINDS) CDE projects: discovery, internal validation, external validation, and distribution. Results The CDEs were organized into patient- and tumor-level modules. In total, 17 core CDEs (10 patient level and 7 tumor level) as well as 14 supplemental CDEs (7 patient level and 7 tumor level) were defined and described. These CDEs are now made publicly available for dissemination and adoption. Conclusions CDEs provide a framework for discussion in the neuro-oncology community that will facilitate data-sharing for collaborative research projects and aid in developing a common language for comparative and pooled analyses. The meningioma-specific CDEs presented here are intended to be dynamic parameters that evolve with time and The Consortium welcomes international feedback for further refinement and implementation of these CDEs.

Funder

Canadian Institutes of Health Research

Brain Tumour Charity

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Neurology (clinical),Oncology

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