Notice bibliographique
Résumé
What Is the Issue? People who experience cardiac arrest need immediate care. Cardiopulmonary resuscitation (CPR), performed manually by a human rescuer, is a first line of treatment. Automated chest compression devices, also known as mechanical CPR devices, are designed to deliver high-quality, consistent compressions and may be of particular interest in settings with limited human rescuers or long travel times in emergency vehicles. However, whether these devices are more clinically or cost-effective than manual chest compressions is unclear. What Did We Do? To inform decisions about the use of automated chest compression devices for chest compressions (described as “automated chest compressions” in this report) compared to manual chest compressions, Canada’s Drug Agency (CDA-AMC) conducted a Rapid Review to identify and summarize the literature about the clinical and cost-effectiveness of automated chest compression devices in people of any age. We also aimed to identify evidence-based recommendations for the use of automated chest compression devices. We searched key resources, including journal citation databases, and conducted a focused internet search for relevant evidence published since 2020. Two reviewers screened articles for inclusion based on predefined criteria, and 1 reviewer critically appraised the included studies and narratively summarized the findings. What Did We Find? We identified 4 systematic reviews (SRs) that examined the clinical effectiveness or safety of automated chest compressions via AutoPulse or Lund University Cardiopulmonary Assist System (LUCAS) devices compared to manual chest compressions, and 2 guidelines with recommendations for the use of automated chest compression devices overall. We did not find information for other devices licensed for sale in Canada. We did not find economic evaluations on the cost-effectiveness of automated chest compression devices. Clinical evidence showed mixed results on survival, neurologic outcomes, and return to spontaneous circulation between automated chest compressions and manual chest compressions, and a potential increase in harms with the use of these devices. However, these findings are based on heterogeneous evidence of variable quality and should be interpreted with caution. Evidence-based guidelines do not recommend the routine use of automated chest compression devices. They indicate that these devices could be applied under specific circumstances, such as when high-quality compressions are impractical or a danger to health care workers, provided professionals are trained and have experience with the device. Evidence was largely based on studies conducted outside of Canada, making the generalizability of the evidence unclear. One primary study found in 3 of the 4 SRs had a population from Canada, and no other clinical evidence was from Canada. No evidence-based guidelines were found from Canadian organizations. Most of the evidence did not include details about study participant demographics or dimensions of diversity or information specifically for rural, remote, territorial hospital, nurse-led hospital, small community, or tertiary care settings. The applicability of the evidence is unknown, including the potential benefits or harms in people with different sexes or genders; different ethnic, religious, educational, socioeconomic, or cultural backgrounds; or with limited access to health care services or in resource-limited settings. What Does This Mean? Health care professionals can consider following the recommendations from evidence-based guidelines, which do not encourage the routine use of automated chest compression devices, except under specific circumstances. This aligns with the heterogeneous clinical evidence identified from the included SR. Because there was no evidence found on cost-effectiveness or information on the clinical effectiveness for people with different sexes or genders; people from different ethnic, religious, educational, socioeconomic, or cultural backgrounds in Canada, or contexts such as rural, remote, or low-staff settings, decision-makers may wish to consider whether the potential benefits and harms from the evidence in this report are applicable to their local context before more high-quality evidence for Canadian settings is available.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,041 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,004 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,004 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 0,002 |
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.
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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».