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Effect of physiotherapy on clinical outcomes in patients with acute brain injury: A post–hoc analysis of the ENIO study
D Battaglini, Irene Schiavetti, Alessio Signori, Raphael Cinotti, Karim Asehnoune, Francesca Gualdi, Loui Al-Husinat, Luca Montagnani, Patricia R.M. Rocco, Nicolò Patroniti, Chiara Robba, Paër-Sélim Abback, Anaïs Codorniu, Giuseppe Citerio, V. Sala, Marinella Astuto, Eleonora Tringali, Daniela Alampi, Monica Rocco, Jessica Giuseppina Maugeri, Agrippino Bellissima, M. Filippini, Nicoletta Lazzeri, Andrea Cortegiani, Mariachiara Ippolito, Pasquale Anania, Gianluigi Zona, Patrick Biston, Mohamed Fathi Al-Gharyani, Russell Chabanne, Léo Astier, Benjamin Soyer, Samuel Gaugain, Alice Zimmerli, Urs Pietsch, Miodrag Filipovic, Giovanna Brandi, Giulio Bicciato, B. Monleón, Peter van Vliet, Benjamin Marcel Gerretsen, Iris Xóchitl Ortiz-Macías, Jun Oto, Noriya Enomoto, Tomomichi Matsuda, Nobutaka Masui, Pierre Garçon, Jonathan Zarka, Wytze J. Vermeijden, Alexander D. Cornet, Sergio Reyes Inurrigarro, Rafael Cirino Domínguez, Maria Mercedes Bellini, Maria Gomez Haedo, Laura Lamot, Jose Orquera, Matthieu Biais, Delphine Georges, Arvind Baronia, Roberto Carlos Miranda-Ackerman, Francisco J Barbosa-Camacho, John Porter, Miguel Lopez-Morales, Thomas Geeraerts, Baptiste Compagnon, David Pérez-Torres, Estefanía Prol-Silva, Hana Basheer Yahya, Ala Khaled, Mohamed Ghula, Cracchiolo Neville Andrea, Palma Maria Daniela, Cristian Deana, Luigi Vetrugno, Manuel J. Rivera Chavez, Rocio Mendoza Trujillo, Vincent Legros, Benjamin Brochet, Olivier Huet, Marie Geslain, Mathieu Van der Jagt, Job van Steenkiste, Hazem Ahmed, Alexander Edward Coombs, Jessie Welbourne, Ana Velarde pineda, Víctor Nubert castillo, Mohammed A. Azab, A. B. S. Azzam, David van Meenen, Gilberto Adrian Gasca, Alfredo Arellano, Forttino Galicia-Espinosa, José Carlos García-Ramos, Ghanshyam Yadav, Amarendra Kumar Jha, Vincent Robert-Edan, Pierre-André Rodie-Talbere, G. Jain, Sagarika Panda, Sonika Agarwal, Yashbir Deewan, Syed Tariq Reza, Mozaffer Hossain, Christos Papadas, Vasiliki Chantziara, Chrysanthi Sklavou, Yannick Hourmant, Nicolas Grillot, Romain Pirracchio, Abdelraouf Akkari, Mohamed Abdelaty, Ahmed Hashim, Yoann Launey, Élodie Masseret, S. Lasocki, Soizic Gergaud, Nicolas Mouclier, Sulekha Saxena, Avinash Agrawal, Shakti Bedanta Mishra, Samir Samal, Julio Mijangos, Mattias Haënggi, Mohan Gurjar, Callum Kaye, Daniela Agustin Godoy, Pablo Alvarez, Aikaterini Ioakeimidou, Yoshitoyo Ueno, Rafael Badenes, Abdurrahmaan Suei Elbuzidi, Michaël Piagnerelli, Muhammed Elhadi, Jean Digitale, Nicholas Fong, Ricardo Campos Cerda, Norma Peredo
Bibliographic record
VenueRespiratory Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsHotel Dieu Hospital
Fundersnot available
KeywordsProspective cohort studyRehabilitationMEDLINESeverity of illnessRespiratory disease
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.838
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.013
GPT teacher head0.402
Teacher spread0.389 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical
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
Citations0
Published2025
Admission routes1
Has abstractno