- Title
- Assessing delivery of mechanical ventilation: risks and benefits of large databases
- Creators
- May Hua - Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USAHayley B Gershengorn - Albert Einstein College of Medicine, Division of Critical Care, Bronx, NY, USAHannah Wunsch - Department of Anesthesia and Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada. hannah.wunsch@sunnybrook.ca
- Publication Details
- Intensive care medicine, Vol.46(12), pp.2297-2300
- Grant note
- K08AG051184 / NIA NIH HHS L30 AG053861 / NIA NIH HHS K08 AG051184 / NIA NIH HHS
- Academic Unit
- Miller School of Medicine; UMMG Dept of Medicine - Pulmonary, Critical Care & Sleep Medicine
- Language
- English
- Resource Type
- Journal article
- PMID
- 32845351
- Record Identifier
- 991031597655202976
Journal article
Assessing delivery of mechanical ventilation: risks and benefits of large databases
Intensive care medicine, Vol.46(12), pp.2297-2300
2020-12
PMID: 32845351
Metrics
9 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.154 Assisted Ventilation
- 1.154.1088 Intensive Care
- Web Of Science research areas
- Critical Care Medicine
- ESI research areas
- Clinical Medicine
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites