Imperial College London

DrMatthewWilliams

Faculty of MedicineDepartment of Surgery & Cancer

Honorary Senior Research Fellow
 
 
 
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Contact

 

+44 (0)20 3311 0733matthew.williams Website CV

 
 
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Location

 

Charing Cross HospitalCharing Cross Campus

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Summary

 

Publications

Citation

BibTex format

@article{Kelly:2017:10.1007/s11060-017-2619-1,
author = {Kelly, C and Majewska, P and Ioannidis, S and Raza, MH and Williams, M},
doi = {10.1007/s11060-017-2619-1},
journal = {Journal of Neuro-Oncology},
pages = {621--627},
title = {Estimating progression-free survival in patients with glioblastoma using routinely collected data},
url = {http://dx.doi.org/10.1007/s11060-017-2619-1},
volume = {135},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Glioblastoma (GBM) represents 80% of all primarymalignant brain tumours in adults. Prognosis is poor,and there is a clear correlation between disease progressionand deterioration in functional status. In this pilot study weassess whether we can estimate disease progression andprogression free survival (PFS) from routinely collectedelectronic healthcare data. We identified fifty patients withglioblastoma who had chemo-radiotherapy. For each patientwe manually collected a reference data set recording demographics,surgery, radiotherapy, chemotherapy, follow-up anddeath. We also obtained an electronic routine data set for eachpatient by combining local data on chemotherapy/radiotherapyand hospital admissions. We calculated overall survival(OS) and PFS using the reference data set, and estimatedthem using the routine data sets using two different methods,and compared the estimated measures with the referencemeasures. Overall survival was 68% at 1 year and medianOS was 12.8 months. The routine data correctly identifiedprogressive disease in 37 of 40 patients and stable disease in 7 of 10 patients. PFS was 7.4 months and the estimated PFSusing routine data was 9.1 and 7.8 months with methods 1and 2 respectively. There was acceptable agreement betweenreference and routine data in 49 of 50 patients for OS and 35of 50 patients for PFS. The event of progression, subsequenttreatment and OS are well estimated using our approach, butPFS estimation is less accurate. Our approach could refineour understanding of the disease course and allow us to reportPFS, OS and treatment nationally.
AU - Kelly,C
AU - Majewska,P
AU - Ioannidis,S
AU - Raza,MH
AU - Williams,M
DO - 10.1007/s11060-017-2619-1
EP - 627
PY - 2017///
SN - 0167-594X
SP - 621
TI - Estimating progression-free survival in patients with glioblastoma using routinely collected data
T2 - Journal of Neuro-Oncology
UR - http://dx.doi.org/10.1007/s11060-017-2619-1
UR - http://hdl.handle.net/10044/1/56791
VL - 135
ER -