High Positive End-expiratory Pressure (PEEP) with Recruitment Maneuvers versus Low PEEP during General Anesthesia for Surgery: A Bayesian Individual Patient Data Meta-analysis of Three Randomized Clinical Trials
- DOI
- 10.1097/aln.0000000000005170
- Published
- 2024-07-22
- Container
- Anesthesiology
- Publisher
- Ovid Technologies (Wolters Kluwer Health)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1097/aln.0000000000005170,
title = {High Positive End-expiratory Pressure (PEEP) with Recruitment Maneuvers versus Low PEEP during General Anesthesia for Surgery: A Bayesian Individual Patient Data Meta-analysis of Three Randomized Clinical Trials},
author = {Guido Mazzinari and Fernando G. Zampieri and Lorenzo Ball and Niklas S. Campos and Thomas Bluth and Sabrine N. T. Hemmes and Carlos Ferrando and Julian Librero and Marina Soro and Paolo Pelosi and Marcelo Gama de Abreu and Marcus J. Schultz and Ary Serpa Neto and Unknown},
year = {2024},
journal = {Anesthesiology},
doi = {10.1097/aln.0000000000005170},
url = {https://doi.org/10.1097/aln.0000000000005170}
}RIS
TY - JOUR TI - High Positive End-expiratory Pressure (PEEP) with Recruitment Maneuvers versus Low PEEP during General Anesthesia for Surgery: A Bayesian Individual Patient Data Meta-analysis of Three Randomized Clinical Trials AU - Guido Mazzinari AU - Fernando G. Zampieri AU - Lorenzo Ball AU - Niklas S. Campos AU - Thomas Bluth AU - Sabrine N. T. Hemmes AU - Carlos Ferrando AU - Julian Librero AU - Marina Soro AU - Paolo Pelosi AU - Marcelo Gama de Abreu AU - Marcus J. Schultz AU - Ary Serpa Neto AU - Unknown PY - 2024 JO - Anesthesiology DO - 10.1097/aln.0000000000005170 UR - https://doi.org/10.1097/aln.0000000000005170 ER -
APA
Mazzinari, G., Zampieri, F. G., Ball, L., Campos, N. S., Bluth, T., Hemmes, S. N. T., Ferrando, C., Librero, J., Soro, M., Pelosi, P., Abreu, M. G. D., Schultz, M. J., Neto, A. S., & Unknown (2024). High Positive End-expiratory Pressure (PEEP) with Recruitment Maneuvers versus Low PEEP during General Anesthesia for Surgery: A Bayesian Individual Patient Data Meta-analysis of Three Randomized Clinical Trials. Anesthesiology. https://doi.org/10.1097/aln.0000000000005170
Source records
- crossref · retrieved 2026-11-10T19:55:50.260Z