PAEDIATRIC RESEARCH IN EMERGENCY DEPARTMENTS INTERNATIONAL COLLABORATIVE (PREDICT)
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
15 May 2005 Dear Editor, Paediatric emergency medicine has made great strides since the inception of the subspecialty. However, many practices and guidelines in paediatric emergency medicine are still not sufficiently evidence based, practices of common paediatric conditions vary and compliance with evidence-based guidelines can be poor.1–5 Paediatric emergency research is hampered by a number of factors:6 serious outcomes and adverse events are rare; data collected at tertiary institutions are not necessarily generalizable to other settings; informed consent is difficult to obtain; data quality in the emergency setting can be poor; and funding for research is limited. Emergency care for children and adolescents can be improved and many of these obstacles can be overcome through rigorous multicentre research as shown in overseas paediatric emergency research networks, such as Pediatric Emergency Research Canada (PERC)7 and the Pediatric Emergency Care Applied Research Network (PECARN) in the USA.6 Given the lack of research infrastructure for multicentre emergency care research in Australia and New Zealand representatives from all seven Australian tertiary children's hospital emergency departments (ED), one general adult/paediatric ED in Australia and one tertiary children's hospital ED in New Zealand formed a research network, the Paediatric Research in Emergency Departments International Collaborative (PREDICT). The vision of PREDICT is to improve emergency care for children and adolescents through rigorous multicentre research. The goals are to improve the power of paediatric research activities by combining the efforts of individual institutions, to coordinate research activities, to create a research infrastructure and to mentor new investigators. Any physician, nurse, paramedic or researcher in Australia and New Zealand involved in the delivery or research of emergency care for children and adolescents can become a member of PREDICT. The structure and the decision-making process within PREDICT is centred on representatives of the participating institutions. The first two PREDICT projects have been initiated. The Basic Epidemiology Project will assess the epidemiology of the patients seen across the network. The initial disease-specific research project selected will assess differences in the management of status epilepticus across PREDICT sites. A recent study at an Australian tertiary paediatric ED has found that a minority of children arriving in status epilepticus at their institution responded to standard first- and second-line anticonvulsive therapy. 8 The PREDICT will develop a research agenda and roadmap to set priorities and to guide the in-depth evaluation of particular research areas. We aim for PREDICT to include more non-children's hospital EDs to ensure the applicability of research findings in a broad range of settings. Clinicians and institutions interested in participating in the PREDICT network or seeking more information are encouraged to contact one of the authors. We acknowledge the financial support of Murdoch Children's Research Institute, Parkville, Victoria, which provides ongoing funding for network infrastructure.
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.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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