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Enregistrement W3164799226 · doi:10.1093/neuros/nyab191

In Reply: A Scoping Review of Registered Clinical Studies on Mild Traumatic Brain Injury and Concussion (2000-2019)

2021· review· en· W3164799226 sur OpenAlexaff
Julio C. Furlan, Charles H. Tator

Notice bibliographique

RevueNeurosurgery · 2021
Typereview
Langueen
DomaineMedicine
ThématiqueTraumatic Brain Injury Research
Établissements canadiensToronto Western HospitalToronto Rehabilitation InstituteUniversity of TorontoUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésConcussionTraumatic brain injuryMedicinePsychologyClinical trialPsychiatryInjury preventionPoison controlMedical emergency

Résumé

récupéré en direct d'OpenAlex

To the Editor: We thank the authors1 for commenting on our manuscript entitled “A scoping review of registered clinical studies on concussion and mild traumatic brain injury (2000-2019).”2 We are pleased to be given the opportunity to respond to their comments, criticisms, and their mini-review of additional small databases not included in our paper, which by design was confined to clinicaltrials.gov, the world's largest clinical trial database to which trial authors in any country can contribute. We will herein deal with their criticisms of a “gap” in our review and that their mini-review represents an improvement. The commentators1 begin by agreeing with us about the importance of a clear definition of mild traumatic brain injury (mTBI) and concussion in future research studies and clinical practice. Our review stressed the importance of clear definitions to aid those who care for patients with mTBI/concussion and seek updated evidence-based medical information to maximize the patients’ neurological and functional recovery, and quality of life. In the field of brain trauma, the terms “mild traumatic brain injury” and “concussion” are often used interchangeably in the medical literature and clinical practice even though the perceptions and stigma associated with each term may have distinct implications for consumers, as we indicated in our review paper.2-4 We acknowledge that there is still a debate in the literature between those who claim concussion is the constellation of symptoms that can arise from any TBI and those who argue that concussion is “a distinct pathophysiological entity with its own diagnostic and management implications.”5 As we stated, concussion describes a more homogenous group of patients than mTBI does, and we endorse that researchers should agree to use the definition of concussion that excludes all lesions identified by routine structural imaging, including computed tomography (CT) or magnetic resonance imaging (MRI). The commentators1 included their own review of 6 other databases in other countries comprising 57 additional studies in mTBI/concussion to add to the 320 studies we reported. This added some valuable information within the focus of our scoping review that reinforces our conclusions, and perhaps expands the global perspective. It was interesting to note that there was a higher overall presence of a definition of mTBI/concussion than we found (61.4% vs 34.1%, respectively). Their mini-review reinforces the need for the use of a common definition, and for reasons already stated, concussion is the preferred term. Unfortunately, they did not provide searchable references to the databases in their mini-review so it was not possible to check them. We were also unable to verify how many different definitions were used in the studies included in their mini-review. Of note, we reported that a definition of mTBI/concussion was eventually obtained from 109 of the 320 studies in our scoping review, which is different from what the commentators labeled “109 different definitions.” Lastly, the commentators outlined possible reasons for the paucity of papers dealing with the prevention of concussions. In our view, the reasons given do not constitute insurmountable obstacles, and researchers should be able to easily overcome these obstacles. There are numerous available study designs that can address key research questions related to the prevention of injuries such as mTBI/concussion that are ethical, lawful, and practical. Notably, Bonnie et al6 led the Committee on Injury Prevention and Control (Division of Health Promotion and Disease Prevention, Institute of Medicine, USA) and wrote the landmark book entitled “Reducing the Burden of Injury: Advancing Prevention and Treatment,” where they included a chapter on the methodological approaches and accomplishments of prevention research. In the context of injury prevention targeting the reduction of frequency or severity of injuries, Bonnie et al6 adapted the seminal work by Haddon et al7 and grouped the prevention interventions into (1) “interventions for changing individual behavior”; (2) “interventions for modifying products or agents of injury”; (3) “interventions for modifying the physical environment”; and (4) “interventions for modifying the sociocultural and economic environment.” As in other fields of research, prevention interventions can be feasibly and satisfactorily evaluated with respect to their efficacy, effectiveness, and cost-effectiveness if the necessary resources are allocated. We are grateful for the commentators’ positive remarks1 about our paper.2 Although the number of trials in mTBI/concussion has steadily risen over the past few years as we have shown, there is much additional work to be done in the prevention, treatment, and prognosis of mTBI/concussion. Funding This study did not receive any funding or financial support. Disclosures The authors have no personal, financial, or institutional interest in any of the drugs, materials, or devices described in this article. Dr Furlan receives salary support from the Wings for Life Spinal Cord Research Foundation.

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)0,050
score de la tête « metaresearch » (Gemma)0,280
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: Méthodes · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,950
Score d'incertitude au seuil0,266

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0500,280
Méta-épidémiologie (sens strict)0,0020,002
Méta-épidémiologie (sens large)0,0040,004
Bibliométrie0,0050,006
Études des sciences et des technologies0,0040,005
Communication savante0,0060,011
Science ouverte0,0060,005
Intégrité de la recherche0,0360,034
Charge utile insuffisante (le modèle a refusé de juger)0,0070,004

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 Opus0,506
Tête enseignante GPT0,553
Écart entre enseignants0,047 · 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.

Devis d'étudeSans objet
DomaineMéthodes
GenreCommentaire

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

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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