0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessThe CANMAT and ISBD groups hope these guidelines provide valuable support for clinicians providing care to patients experiencing mixed presentations, as well as further influence investment in research to improve diagnosis and treatment of this common and complex clinical state.
Lakshmi N. Yatham, Trisha Chakrabarty, David J. Bond, Ayal Schaffer, Serge Beaulieu, Sagar V. Parikh, Roger S. McIntyre, Roumen Milev, Martin Alda, Gustavo Vázquez, Arun Ravindran, Benício N. Frey, Verinder Sharma, Benjamin I. Goldstein, Soham Rej, Claire O’Donovan, Valérie Tourjman, Jan‐Marie Kozicky, Márcia Kauer-Sant’Anna, Gin S. Malhi, Trisha Suppes, Eduard Vieta, Flávio Kapczinski, Shigenobu Kanba, Raymond W. Lam, Sidney H. Kennedy, Joseph R. Calabrese, Michael Berk, Robert M. Post (2021). Canadian Network for Mood and Anxiety Treatments (CANMAT) and International Society for Bipolar Disorders (ISBD) recommendations for the management of patients with bipolar disorder with mixed presentations. , 23(8), DOI: https://doi.org/10.1111/bdi.13135.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2021
Authors
29
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1111/bdi.13135
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access
