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Enregistrement W4297983178 · doi:10.1016/s1474-4422(22)00309-x

Traumatic brain injury: progress and challenges in prevention, clinical care, and research

2022· review· en· W4297983178 sur OpenAlexfundno aff
Andrew I.R. Maas, David Menon, Geoffrey T. Manley, Mathew Abrams, Cecilia Åkerlund, Nada Anđelić, Marcel Aries, Tom Bashford, Michael J. Bell, Yelena G. Bodien, Benjamin L. Brett, András Büki, Randall M. Chesnut, Giuseppe Citerio, David Clark, Betony Clasby, D. James Cooper, Endre Czeiter, Marek Czosnyka, Kristen Dams-O’Connor, Véronique De Keyser, Ramon Diaz‐Arrastia, Ari Ercole, Thomas A. van Essen, Éanna Falvey, Adam R. Ferguson, Anthony Figaji, Melinda Fitzgerald, Brandon Foreman, Dashiell Gantner, Guoyi Gao, Joseph T. Giacino, Benjamin Gravesteijn, Fabián Güiza, Deepak Gupta, Mark Gurnell, Juanita A. Haagsma, Flora M. Hammond, Gregory W. J. Hawryluk, Peter J. Hutchinson, Mathieu van der Jagt, Sonia Jain, Swati Jain, Jiyao Jiang, Hope Kent, Angelos G. Kolias, Erwin J. O. Kompanje, Fiona Lecky, Hester F. Lingsma, Marc Maegele, Marek Majdán, Amy J. Markowitz, Michael McCrea, Geert Meyfroidt, Ana Mikolić, Stefania Mondello, Pratik Mukherjee, David Nelson, Lindsay D. Nelson, Virginia Newcombe, David O. Okonkwo, Matej Orešič, Wilco C. Peul, Dana Pisică, Suzanne Polinder, Jennie Ponsford, Louis Puybasset, Rahul Raj, Chiara Robba, Cecilie Røe, Jonathan Rosand, Peter Schueler, David Sharp, Peter Smielewski, Murray B. Stein, Nicole von Steinbüchel, William Stewart, Ewout W. Steyerberg, Nino Stocchetti, Nancy Temkin, Olli Tenovuo, Alice Theadom, Ilias Thomas, Abel Torres‐Espín, Alexis F. Turgeon, Andreas Unterberg, Dominique Van Praag, Ernest van Veen, Jan Verheyden, Thijs Vande Vyvere, Kevin Wang, Eveline Wiegers, W. Huw Williams, Lindsay Wilson, Stephen R. Wisniewski, Alexander Younsi, John K. Yue, Esther L. Yuh, Frederick A. Zeiler, Marina Zeldovich, Roger Zemek

Notice bibliographique

RevueThe Lancet Neurology · 2022
Typereview
Langueen
DomaineMedicine
ThématiqueTraumatic Brain Injury and Neurovascular Disturbances
Établissements canadiensnon disponible
Organismes subventionnairesSchool of Medicine, University of California, San DiegoDepartment of Radiology and Biomedical Imaging, University of California, San FranciscoNational Institute of Neurological Disorders and StrokeFaculty of Medicine and Health, University of SydneyUCLH Biomedical Research CentreCanadian Institutes of Health ResearchNational Institutes of HealthDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins MedicineUniversiteit AntwerpenSorbonne UniversitéTurun Yliopistollinen KeskussairaalaMonash UniversityUniversità degli Studi di MessinaMassachusetts General HospitalUniversity of Cape TownLeids Universitair Medisch CentrumKarolinska InstitutetTurun YliopistoSchool of Medicine, Indiana UniversityUniversity of PittsburghKU LeuvenGraduate School of Public Health, University of PittsburghEisaiÖrebro UniversitetZNS - Hannelore Kohl StiftungUniversity of WashingtonCurtin University of TechnologyPerelman School of Medicine, University of PennsylvaniaUniversity of GlasgowUniversiteit LeidenUniversity of ExeterCurtin Health Innovation Research Institute, Curtin UniversityAcademy of Medical SciencesOne MindACADIA PharmaceuticalsJazz PharmaceuticalsBrain Injury Research CenterUniversity of California, San DiegoHelsingin YliopistoUniversité LavalUniversity of StirlingUniversity of PennsylvaniaU.S. Department of Veterans AffairsGlaxoSmithKlineImperial College LondonNIHR Cambridge Biomedical Research CentreIntegra LifeSciencesUniversity of OttawaAuckland University of Technology, New ZealandRenji HospitalUniversity of CincinnatiUniversitätsklinikum HeidelbergCentre Hospitalier Universitaire de QuébecUniversity College CorkUniversità degli Studi di GenovaEuropean CommissionNational Institute for Health and Care ResearchAssistance publique-Hôpitaux de ParisU.S. Department of Defense
Mots-clésTraumatic brain injuryMedicinePublic healthSocietal impact of nanotechnologyHealth careGlobal healthPsychiatryMedical emergencyPolitical scienceNursing

Résumé

récupéré en direct d'OpenAlex

This Commission covers a range of topics that need to be addressed to confront the global burden of TBI and reduce its effects on individuals and society: epidemiology (section 1); health economics (section 2); prevention (section 3); systems of care (section 4); clinical management (section 5); characterisation of TBI (section 6); outcome assessment (section 7); prognosis (section 8); and new directions for acquiring and implementing evidence (section 9).Table 1 summarises key messages from the Commission and provides recommendations to advance clinical care and research in TBI.We must increase awareness of the scale of the challenge posed by TBI.If we are to tackle the individual and societal burden of TBI, these efforts need to go beyond a clinical and research audience and address the public, politicians, and other stakeholders.We need to develop and implement policies for better prevention and systems of care in order to improve outcomes for individuals with TBI.We also need a commitment to substantial long-term investment in TBI research across a range of disciplines to determine best practice and facilitate individualised management strategies.A combination of innovative research methods and global collaboration, and ways to effectively translate progress in basic and clinical research into clinical practice and public health policy, will be vital for progress in the field. Key messages Assess responses in three domainsEye (score range 1-4) Motor (score range 1-6) Verbal (score range 1-5) Add scores from the three components to give a sum score (3-15) GCS 13-15: mild TBI GCS 9-12: moderate TBI GCS 3-8: severe TBI Panel 2: Definitions of traumatic brain injuryWorld Health Organization definition 39 "...an acute brain injury resulting from mechanical energy to the head from external physical forces", excluding manifestations relating to "drugs, alcohol, medications, caused by other injuries or treatment for other injuries (eg, systemic injuries, facial injuries or intubation), caused by other problems (eg, psychological trauma, language barrier or coexisting medical conditions) or caused by penetrating craniocerebral injury."This broad definition of traumatic brain injury (TBI) is widely used, but some ambiguity exists as to what constitutes "an acute brain injury".Furthermore, the definition focuses on mild TBI, and therefore excludes patients with penetrating craniocerebral injury.American Congress of Rehabilitation Medicine definition 40 "A patient with mild traumatic brain injury is a person who has had a traumatically induced physiological disruption of brain function, as manifested by at least one of the following:(1) any period of loss of consciousness; (2) any loss of memory for events immediately before or after the accident; (3) any alteration in mental state at the time of the accident (eg, feeling dazed, disoriented, or confused); and (4) focal neurological deficit(s) that may or may not be transient; but where the severity of the injury does not exceed the following: loss of consciousness of approximately 30 minutes or less; after 30 minutes, an initial Glasgow Coma Scale score of 13-15; and posttraumatic amnesia (PTA) not greater than 24 hours."This definition is specific to mild TBI and excludes patients with more severe TBI, which conflicts with the concept that the severity of TBI lies along a continuum.Note that the term "concussion" is often used synonymously with "mild TBI".41 See figure 2 for classification of clinical severity with the Glasgow Coma Scale. National Institute of Neurological Disorders and Stroke definition1 "TBI is defined as an alteration in brain function, or other evidence of brain pathology, caused by an external force."This statement acknowledges potential confounders to TBI diagnosis, and suggests that symptomatology, imaging findings, details of the incident, and wider context should all be taken into account to inform diagnosis.1

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,018

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,004
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0040,001
Bibliométrie0,0030,005
Études des sciences et des technologies0,0000,001
Communication savante0,0030,003
Science ouverte0,0020,002
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0060,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,504
Tête enseignante GPT0,510
Écart entre enseignants0,006 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1 353
Publié2022
Routes d'admission1
Résumé présentnon

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