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Enregistrement W6906297442 · doi:10.17605/osf.io/z9nuj

Pediatric Hemorrhagic Shock Consensus Conference

2022· other· en· W6906297442 sur OpenAlexaboutno aff

Notice bibliographique

RevueOpen Science Framework · 2022
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésResuscitationDelphi methodHemorrhagic shockObservational studyConsensus conferenceStandardizationTranexamic acidPediatric traumaShock (circulatory)MEDLINE

Résumé

récupéré en direct d'OpenAlex

Trauma is the leading cause of pediatric mortality, potential years of life lost, and a significant medical cost in the developed world. (1,2) In addition, children have a higher incidence of mortality compared with adults. Mortality in children with traumatic hemorrhagic shock is 50% compared to 20-25% reported in adults. (3,4) Estimates indicate that there are 1,000 preventable traumatic deaths after injury in children per year in the US due to inadequate or delayed care. Recent retrospective and prospective observational studies indicate that resuscitation practices (appropriate blood product ratios and tranexamic acid (TXA) use) can dramatically reduce mortality in children with traumatic hemorrhagic shock. (5,6) Due to these alarming statistics, resuscitation and hemostatic strategies are a key target for standardization and subsequent investigation. However, clinical trial design surrounding this topic would be very difficult due to not only the lack of standardization in resuscitation approaches, transfusion strategies, utilization of hemostatic monitoring and adjuncts, but also the lack of agreed upon critical definitions and common data elements for study. To address these challenges, we organized a multidisciplinary team of highly engaged international experts and key stakeholders to develop consensus statements on best practice based on the current literature, consensus statements on research priorities, and methods of dissemination and implementation of the conference proceedings. Consensus statements will be developed via a highly structured process to include using the Delphi Method. A panel of 21 international experts (USA, Canada, Europe, Israel) that represent trauma surgery, transfusion medicine/hematology, anesthesia, critical care, and emergency medicine will form the consensus committee. The conference will also lead to the generation of a multidisciplinary research network focused on improving outcomes for children with traumatic hemorrhagic shock. Aim 1: Review the current state of the art for the management of pediatric traumatic hemorrhagic shock. To achieve this aim, one full day of lectures will be used to review and discuss in detail current knowledge in the biology of traumatic hemorrhagic shock, methods to monitor shock and its consequences, hemorrhage control methods, and resuscitation practice patterns and outcomes in this population. Lectures will also include the importance of collecting common data elements, structure of a pediatric trauma resuscitation research network, and the Delphi Method for consensus statement generation. Aim 2: Develop evidence-based informed consensus statements for the management of pediatric traumatic hemorrhagic shock. To achieve this aim, we will use the Delphi Method process to create consensus recommendations for best practices for the management of pediatric traumatic hemorrhagic shock. Specific topics for discussion will include the use of tourniquets, prehospital blood use, transfusion and hemostatic adjunct strategies, hemostasis monitoring, airway and blood pressure management. Aim 3: Develop a consensus statement on research priorities. To achieve this aim, consensus statements will be developed that describe the mission and goals for a pediatric trauma resuscitation research network. Consensus statements will also be generated on specific research topics that need to be prioritized for the development of clinical trials. Recognizing the paucity of literature on many important topics in pediatric traumatic shock resuscitation, current knowledge gaps and research priorities in this population will be identified that will be critical to improving patient care. Aim 4: Develop a robust dissemination and implementation methods for consensus statements generated and for the results of future trials. To achieve this aim, we will collaborate with experts in the field of dissemination and implementation to develop methods that are optimal for the pediatric trauma community. Methods will include publishing a supplement in Pediatric Critical Care that summarizes the conference proceedings. Other methods such as the development of decision support tools, and the use of video conferencing and social media venues will be explored. The use of the dissemination and implementation tools established during the conference will be incorporated by the newly formed pediatric trauma resuscitation research network to change practice based on the evidence it generates. This network will begin multi-institutional collaboration to study generated research questions and maintain its framework and momentum with regular conference calls and yearly meetings. Consensus Methods: A “medical consensus” is a public statement on a particular aspect of medical knowledge that is generally agreed upon as an evidence-based, state-of-the art knowledge by a representative group of experts in that area. (20) A specific method to commonly used to establish consensus is the Delphi Method. To begin the process of developing consensus, the planning committee has agreed upon important topics (listed in agenda) that the consensus committee will discuss with the goal of generating consensus statements. Lectures during day 1 of the conference will cover these topics in detail to inform the discussion within the consensus committee. In addition, the planning committee will collect the current literature on consensus topics in a systematic approach and share as a pre-meeting packet to the consensus committee for review at least one month prior to this meeting. Members of the planning committee will perform scoping and systematic reviews with formal guidance from library science experts (UAB Library Services). Searches for all literature pertinent to the consensus statements, will use a Boolean approach that will take into account the keywords in the PICOS domains (21, 22): P (population), I (intervention), C (comparator), O (outcome), S (study design). In each instance, the librarian will search at least in PubMed, Medline and the Cochrane Library. Thereafter, two members of the consensus committee will independently select relevant papers through Covidence software. Retained papers will be used to write the first draft of one or multiple summaries and a first draft of recommendation(s) for the topics by the primary lecturer on the topic, using the GRADE methodology. (23-27) Although we will not be publishing formal systematic reviews, identical search methods and methodology to select the relevant literature will be carried out to provide the most relevant, current literature on which to base our consensus statements and discussion. The consensus statement development will be initially drafted by the faculty lecturer on the topic and will then be voted on by all members of the consensus committee utilizing the RAND/UCLA Appropriateness Methodology, a method developed to combine the best available scientific evidence with the collective judgement of the experts. All experts rate the consensus statement on a Likert scale (1=disagreement, 9=strong agreement). The highest and lowest scores are discarded followed by calculation of the median and range. The median value determines how the recommendation is categorized: agreement (median=7-9), equipoise (median=4-6), or disagreement (median=1-3). The range (remaining lowest and highest values) determines if the recommendation is “strong” or “weak.” (28) If there is not agreement, those not in agreement can aid discussion to amend statement to facilitate agreement until voting can occur on the adjusted statement. If there is not consensus after three votes, the faculty lecturer will moderate discussion to develop changes from audience feedback to attempt to gain consensus. If after 5 total cycles of voting, there is no consensus, we will publish consensus could not be obtained. Two hours will be allotted for each topic.

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)0,027
score de la tête « metaresearch » (Gemma)0,048
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: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,046
Score d'incertitude au seuil0,155

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0270,048
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,004
Bibliométrie0,0040,002
Études des sciences et des technologies0,0030,001
Communication savante0,0050,004
Science ouverte0,0060,006
Intégrité de la recherche0,0120,012
Charge utile insuffisante (le modèle a refusé de juger)0,0460,023

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 Opus0,042
Tête enseignante GPT0,339
Écart entre enseignants0,297 · 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
GenreAutre

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
Publié2022
Routes d'admission1
Résumé présentoui

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