Promising Use of Big Data to Increase the Efficiency and Comprehensiveness of Stroke Outcomes Research

David Ung¹, Joosup Kim^{1

2}, Amanda G Thrift¹, Dominique A Cadilhac^{1

2}, Nadine E Andrew^{1

3}, Vijaya Sundararajan^{4

5}, Moira K Kapral⁶, Mathew Reeves⁷, Monique F Kilkenny^{1

2}

Affiliations

¹ From the Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (D.U., J.K., A.G.T., D.A.C., N.E.A., M.F.K.).
² Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia (J.K., D.A.C., M.F.K.).
³ Peninsula Clinical School, Central Clinical School, Monash University, Frankston, VIC, Australia (N.E.A.).
⁴ La Trobe University, Melbourne, VIC, Australia (V.S.).
⁵ Department of Public Health, School of Psychology and Public Health, College of Science Health and Engineering, La Trobe University, Bundoora, VIC, Australia (V.S.).
⁶ Division of General Internal Medicine, Department of Medicine, University of Toronto, ON, Canada (M.K.K.).
⁷ Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI (M.R.).

PMID: 31009352
DOI: 10.1161/STROKEAHA.118.020372

Review

Promising Use of Big Data to Increase the Efficiency and Comprehensiveness of Stroke Outcomes Research

David Ung et al. Stroke. 2019 May.

. 2019 May;50(5):1302-1309.

doi: 10.1161/STROKEAHA.118.020372.

Authors

David Ung¹, Joosup Kim^{1

2}, Amanda G Thrift¹, Dominique A Cadilhac^{1

2}, Nadine E Andrew^{1

3}, Vijaya Sundararajan^{4

5}, Moira K Kapral⁶, Mathew Reeves⁷, Monique F Kilkenny^{1

2}

Affiliations

¹ From the Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia (D.U., J.K., A.G.T., D.A.C., N.E.A., M.F.K.).
² Stroke Division, The Florey Institute of Neuroscience and Mental Health, Heidelberg, VIC, Australia (J.K., D.A.C., M.F.K.).
³ Peninsula Clinical School, Central Clinical School, Monash University, Frankston, VIC, Australia (N.E.A.).
⁴ La Trobe University, Melbourne, VIC, Australia (V.S.).
⁵ Department of Public Health, School of Psychology and Public Health, College of Science Health and Engineering, La Trobe University, Bundoora, VIC, Australia (V.S.).
⁶ Division of General Internal Medicine, Department of Medicine, University of Toronto, ON, Canada (M.K.K.).
⁷ Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI (M.R.).

PMID: 31009352
DOI: 10.1161/STROKEAHA.118.020372

No abstract available

Keywords: big data; cohort studies; data collection; data linkage; mortality; registries; stroke.

PubMed Disclaimer

Cited by

Home-Time as a Surrogate Measure for Functional Outcome After Stroke: A Validation Study.
Sung SF, Su CC, Hsieh CY, Cheng CL, Chen CH, Lin HJ, Chen YW, Kao Yang YH. Sung SF, et al. Clin Epidemiol. 2020 Jun 16;12:617-624. doi: 10.2147/CLEP.S245817. eCollection 2020. Clin Epidemiol. 2020. PMID: 32606987 Free PMC article.
Data Sharing Under the General Data Protection Regulation: Time to Harmonize Law and Research Ethics?
Vlahou A, Hallinan D, Apweiler R, Argiles A, Beige J, Benigni A, Bischoff R, Black PC, Boehm F, Céraline J, Chrousos GP, Delles C, Evenepoel P, Fridolin I, Glorieux G, van Gool AJ, Heidegger I, Ioannidis JPA, Jankowski J, Jankowski V, Jeronimo C, Kamat AM, Masereeuw R, Mayer G, Mischak H, Ortiz A, Remuzzi G, Rossing P, Schanstra JP, Schmitz-Dräger BJ, Spasovski G, Staessen JA, Stamatialis D, Stenvinkel P, Wanner C, Williams SB, Zannad F, Zoccali C, Vanholder R. Vlahou A, et al. Hypertension. 2021 Apr;77(4):1029-1035. doi: 10.1161/HYPERTENSIONAHA.120.16340. Epub 2021 Feb 15. Hypertension. 2021. PMID: 33583200 Free PMC article. Review.
Maximising the Quality of Stroke Care: Reporting of Data Collection Methods and Resourcing in National Stroke Registries: A Systematic Review.
Jonsson A, Cosgrave N, Healy A, Mellon L, Williams DJ, Hickey A. Jonsson A, et al. J Med Syst. 2024 Oct 28;48(1):100. doi: 10.1007/s10916-024-02119-2. J Med Syst. 2024. PMID: 39466451
The Allure of Big Data to Improve Stroke Outcomes: Review of Current Literature.
Olaiya MT, Sodhi-Berry N, Dalli LL, Bam K, Thrift AG, Katzenellenbogen JM, Nedkoff L, Kim J, Kilkenny MF. Olaiya MT, et al. Curr Neurol Neurosci Rep. 2022 Mar;22(3):151-160. doi: 10.1007/s11910-022-01180-z. Epub 2022 Mar 11. Curr Neurol Neurosci Rep. 2022. PMID: 35274192 Free PMC article. Review.
Towards better reporting of the proportion of days covered method in cardiovascular medication adherence: A scoping review and new tool TEN-SPIDERS.
Dalli LL, Kilkenny MF, Arnet I, Sanfilippo FM, Cummings DM, Kapral MK, Kim J, Cameron J, Yap KY, Greenland M, Cadilhac DA. Dalli LL, et al. Br J Clin Pharmacol. 2022 Oct;88(10):4427-4442. doi: 10.1111/bcp.15391. Epub 2022 May 22. Br J Clin Pharmacol. 2022. PMID: 35524398 Free PMC article.

See all "Cited by" articles

Publication types

Actions

MeSH terms

Actions
Actions
Actions
Actions
Actions
Actions
Actions
Actions
Actions
Actions

Grants and funding

P50 NS044227/NS/NINDS NIH HHS/United States

LinkOut - more resources

Full Text Sources
Medical
- MedlinePlus Health Information

Save citation to file

Email citation

Add to Collections

Add to My Bibliography

Your saved search

Create a file for external citation management software

Your RSS Feed

Promising Use of Big Data to Increase the Efficiency and Comprehensiveness of Stroke Outcomes Research

Affiliations

Promising Use of Big Data to Increase the Efficiency and Comprehensiveness of Stroke Outcomes Research

Authors

Affiliations

Similar articles

Cited by

Publication types

MeSH terms

Grants and funding

LinkOut - more resources

Full Text Sources

Medical