TY - JOUR
T1 - The Subarachnoid Hemorrhage International Trialists (SAHIT) Repository
T2 - Advancing Clinical Research in Subarachnoid Hemorrhage
AU - Jaja, Blessing N R
AU - Attalla, Daniel
AU - Macdonald, R. Loch
AU - Schweizer, Tom A.
AU - Cusimano, Michael D.
AU - Etminan, Nima
AU - Hanggi, Daniel
AU - Hasan, David
AU - Johnston, S. Claiborne
AU - Le Roux, Peter
AU - Lo, Benjamin
AU - Louffat-Olivares, Ada
AU - Mayer, Stephan
AU - Molyneux, Andrew
AU - Noble, Adam
AU - Quinn, Audrey
AU - Schenk, Thomas
AU - Spears, Julian
AU - Singh, Jeffrey
AU - Todd, Michael
AU - Torner, James
AU - Tseng, Ming
AU - van den Bergh, William
AU - Vergouwen, Mervyn D I
AU - Wong, George K C
N1 - Funding Information:
Acknowledgments Funded by a grant from the Canadian Institutes for Health Research.
Publisher Copyright:
© 2014, Springer Science+Business Media New York.
PY - 2014/12
Y1 - 2014/12
N2 - Researchers and other stakeholders continue to express concern about the failure of randomized clinical trials (RCT) in subarachnoid hemorrhage (SAH) to show efficacy of new treatments. Pooled data may be particularly useful to generate hypotheses about causes of poor outcomes and reasons for failure of RCT in SAH, and strategies to improve them. Investigators conducting SAH research collaborated to share data with the intent to develop a large repository of pooled individual patient data for exploratory analysis and testing of new hypotheses relevant to improved trial design and analysis in SAH. This repository currently contains information on 11,443 SAH patients from 14 clinical databases, of which 9 are datasets of recent RCTs and 5 are datasets of prospective observational studies and hospital registries. Most patients were managed in the last 15 years. Data validation and quality checks have been conducted and are satisfactory. Data is available on demographic, clinical, neuroimaging, and laboratory results and various outcome measures. We have compiled the largest known dataset of patients with SAH. The SAHIT repository may be an important resource for advancing clinical research in SAH and will benefit from contributions of additional datasets.
AB - Researchers and other stakeholders continue to express concern about the failure of randomized clinical trials (RCT) in subarachnoid hemorrhage (SAH) to show efficacy of new treatments. Pooled data may be particularly useful to generate hypotheses about causes of poor outcomes and reasons for failure of RCT in SAH, and strategies to improve them. Investigators conducting SAH research collaborated to share data with the intent to develop a large repository of pooled individual patient data for exploratory analysis and testing of new hypotheses relevant to improved trial design and analysis in SAH. This repository currently contains information on 11,443 SAH patients from 14 clinical databases, of which 9 are datasets of recent RCTs and 5 are datasets of prospective observational studies and hospital registries. Most patients were managed in the last 15 years. Data validation and quality checks have been conducted and are satisfactory. Data is available on demographic, clinical, neuroimaging, and laboratory results and various outcome measures. We have compiled the largest known dataset of patients with SAH. The SAHIT repository may be an important resource for advancing clinical research in SAH and will benefit from contributions of additional datasets.
KW - Cerebrovascular disease
KW - Clinical trials
KW - Database
KW - Intracranial aneurysm
KW - Stroke
KW - Subarachnoid hemorrhage
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U2 - 10.1007/s12028-014-9990-y
DO - 10.1007/s12028-014-9990-y
M3 - Article
C2 - 24865271
AN - SCOPUS:84936748050
SN - 1541-6933
VL - 21
SP - 551
EP - 559
JO - Neurocritical Care
JF - Neurocritical Care
IS - 3
ER -