MétaCan
Menu
Back to cohort

Awake Prone Positioning in Adults With COVID-19

2025· review· en· W4408290089 on OpenAlexaff
Jian Luo, Ivan Petrovitch Pavlov, Elsa Tavernier, Yonatan Perez, Aileen Kharat, Bairbre McNicholas, Oriol Roca, David Vines, Miguel Ibarra‐Estrada, Waleed Alhazzani, Kimberley Lewis, Steven Q. Simpson, Garrett Rampon, Ling Liu, Qin Sun, Haibo Qiu, Yi Yang, Giuseppe Lapadula, Edward T. Qian, Cheryl L. Gatto, Todd W. Rice, Ken Kuljit S. Parhar, Jason Weatherald, Allan J. Walkey, Nicholas A. Bosch, Mai-Anh Nay, Thierry Boulain, Guillaume Fossat, Tim R.E. Harris, Louise Thwaites, Nguyen Thanh Phong, Paolo Bonfanti, Sajad Yarahmadi, Seyed Mohammadreza Hashemian, Devachandran Jayakumar, Stephanie Parks Taylor, Stacy A. Johnson, Claude Guérin, John G. Laffey, Stéphan Ehrmann, Jie Li, Sheryl Ann Abdukahil, Dan Adler, Ritwick Agrawal, Guadalupe Aguirre-Ávalos, Ali Ait Hssain, Zainab Al Duhailib, Abdulrahman Al‐Fares, Fahad Al-Hameed, Nijat Aliyev, Mohammed Alshahrani, Olga Amusina, James Anibal, Laura Antolini, Yaseen M. Arabi, Nicholas Arnold, Luu Hoai Bao Tran, Abi Beane, Shashi Bellam, Emilie P. Belley‐Côté, Gordon R. Bernard, Zain A. Bhutta, Ho Bich Hai, Adrien Bigot, Frederic T. Billings, Luca Bisi, Nicolas Bizien, Jonathan Boltax, Sarah Buabbas, Reagan Buie, Henry Bundy, Jessica G. Burke, Cao Thi Cam Van, Chloé Cantero, Amy Hajari Case, Jamal Chalabi, Jefferson Chambers, Wei Chang, Yali Chao, Tao Chen, Tayebeh Cheraghian, Sujith V. Cherian, Jérémy Clément, David A. Clifton, L. Colombain, Paola Columpsi, Grégory Corvaisier, David Cosgrave, Sarah Culgin, Ashwin D’Silva, Mary Lynn Dear, Jean Dellamonica, Gheorghe Doros, Sylvie Druelle, Erick Duan, Nguyễn Thị Phương Dung, Nguyen Thanh Dung, Elise Dupuis‐Lozeron, Farzad Ebrahimzadeh, Mahtab Eskini, Eddy Fan, Miriam Fezzi, Kirsten M. Fiest, Ernest A. Fischer, Sergio Foresti, Robert E. Freundlich, Matthew Fuller, Yue Gao, Michael A. Garcia, Roxana García-Salcido, Ronald B. Geskus, Kari R. Gillmeyer, Guy Glover, Ignacio Miguel Gomez Macineira, Wu Gong, Nicholas G. Griffiths, Jillann Grooms, Olivier Grosgurin, Jibin Han, Frank E. Harrell, Cassandra Hennessy, Victor Ramon Garcia Hernandez, Raphaël Hindre, William Hiser, Vo Tan Hoang, Du Hong Duc, Devin Horton, Francesca Iannuzzi, Nikhil Jagan, Hamidreza Jamaati, Simon Jamard, Badr Jandali, Jean–Paul Janssens, Dev Jayaraman, Joseph Dahine, Shijing Jia, Jun Jin, Evelyne Kestelyn, Le Thuy Thuy Khanh, Nadir Kharma, Mohamad Khatib, Tran Dang Khoa, Batoul Khoundabi, Marc Kowalkowski, Sunil Kripalani, Frédéric Lador, Jean-Baptiste Lainé, Michael J. Lanspa, François Lauzier, Yang Li, Rachel Lim, Silvia Limonta, Christopher J. Lindsell, Linh Nguyen Thi My, Weili Liu, Yu Liu, Sanaz Lolachi, Vo Trieu Ly, J. Jeffrey Malatack, Majid Malekmohammad, Christophe Marti, Alejandro Martín‐Quirós, Joan Ramón Masclans, Megan Startzell, Maureen O. Meade, Guglielmo Marco Migliorino, Kristin S. Miller, Sara Mirza, Katherine L. Modzelewski, Idrees Mogri, Fatemeh Mohamadipour, Mohamed Gafar Hussein Mohamedali, Morten Hylander Møller, Marine Morrier, Laveena Munshi, Katlynne Nelson, Nguyễn Thanh Ngọc, Nguyen Thanh Nguyen, Daniel J. Niven, Saad Nseir, Elsa Nyamankolly, Sameer A. Pathan, Ankush Pathare, Dan Perri, Christophe Perrin, Dang Phuong Thao, Benjamin Planquette, Laurent Plantier, Jérôme Plojoux, Ester Pollastri, Xavier Pouget-Abadie, Xuehua Pu, Jill M. Pulley, Isma Qureshi, Ebenezer Rabindrarajan, Amera A. Rahmatullah, Pratheema Ramachandran, Nagarajan Ramakrishnan, Tasleem Raza, Bram Rochwerg, Jorge Rosales García, Craig S. Ross, Marianna Rossi, Justin M. Rucci, Alban Rugova, Francesca Sabbatini, Amen Sergew, Aymeric Sève, Navid Shafigh, Sara Skavroneck, Arthur S. Slutsky, William Smith, Paola M. Soccal, Kevin Solverson, Alessandro Soria, Nicola Squillace, Henry T. Stelfox, Payam Tabarsi, Hani Tamim, Le Van Tan, Maged Tanios, Brice Taylor, Lehana Thabane, Stephen H. Thomas, Guy Thwaites, Pham Tieu Kieu, Haytham Tlayjeh, Nguyen Thi Diem Trinh, Matthew W Trump, Nguyen Thanh Truong, Jennifer Tsang, Nguyen Le Nhu Tung, Maria Grazia Valsecchi, Le Dinh Van Khoa, Eduard E. Vasilevskis, Ramesh Venkataraman, Tran Thi Dong Vien, Bharath Kumar Tirupakuzhi Vijayaraghavan, Sicong Wang, Bin Wu, Jianfeng Xie, Jane Yee, Lam Minh Yen, Jiangquan Yu, Arwa Zakaria, Hongsheng Zhao, Ying Zhu

Bibliographic record

VenueJAMA Internal Medicine · 2025
Typereview
Languageen
FieldMedicine
TopicRespiratory Support and Mechanisms
Canadian institutionsUniversity of AlbertaUniversity of CalgaryMcMaster UniversityImpact
FundersNational Heart, Lung, and Blood InstituteU.S. Department of Veterans Affairs
KeywordsMedicineIntubationIntensive care unitOdds ratioMechanical ventilationLogistic regressionRandomized controlled trialCochrane LibraryInternal medicineAnesthesia

Abstract

fetched live from OpenAlex

Importance: The impact of awake prone positioning (APP) on clinical outcomes in patients with COVID-19 and acute hypoxemic respiratory failure (AHRF) remains uncertain. Objective: To assess the association of APP with improved clinical outcomes among patients with COVID-19 and AHRF, and to identify potential effect modifiers. Data Sources: PubMed, Embase, the Cochrane Library, and ClinicalTrials.gov were searched through August 1, 2024. Study Selection: Randomized clinical trials (RCTs) examining APP in adults with COVID-19 and AHRF that reported intubation rate or mortality were included. Data Extraction and Synthesis: Individual participant data (IPD) were extracted according to PRISMA-IPD guidelines. For binary outcomes, logistic regression was used and odds ratio (OR) and 95% CIs were reported, while for continuous outcomes, linear regression was used and mean difference (MD) and 95% CIs were reported. Main Outcomes and Measures: The primary outcome was survival without intubation. Secondary outcomes included intubation, mortality, death without intubation, death after intubation, escalation of respiratory support, intensive care unit (ICU) admission, time from enrollment to intubation and death, duration of invasive mechanical ventilation, and hospital and ICU lengths of stay. Results: A total of 14 RCTs involving 3019 patients were included; 1542 patients in the APP group (mean [SD] age, 59.3 [14.1] years; 1048 male [68.0%]) and 1477 in the control group (mean [SD] age, 59.9 [14.1] years; 979 male [66.3%]). APP improved survival without intubation (OR, 1.42; 95% CI, 1.20-1.68), and it reduced the risk of intubation (OR, 0.70; 95% CI, 0.59-0.84) and hospital mortality (OR, 0.77; 95% CI, 0.63-0.95). APP also extended the time from enrollment to intubation (MD, 0.93 days; 95% CI, 0.43 to 1.42 days). In exploratory subgroup analyses, improved survival without intubation was observed in patients younger than age 68 years, as well as in patients with a body mass index of 26 to 30, early implementation of APP (ie, less than 1 day from hospitalization), a pulse saturation to inhaled oxygen fraction ratio of 155 to 232, respiratory rate of 20 to 26 breaths per minute (bpm), and those receiving advanced respiratory support at enrollment. However, none of the subgroups had significant interaction with APP treatment. APP duration 10 or more hours/d within the first 3 days was associated with increased survival without intubation (OR, 1.85; 95% CI, 1.37-2.49). Conclusions and Relevance: This IPD meta-analysis found that in adults with COVID-19 and AHRF, APP was associated with increased survival without intubation and with reduced risks of intubation and mortality, including death after intubation. Prolonged APP duration (10 or more hours/d) was associated with better outcomes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.036
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.369
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJAMA Internal MedicineSame topicRespiratory Support and MechanismsFrench-language works237,207