Medical Cannabis Use in Palliative Care: Review of Clinical Effectiveness and Guidelines – An Update
Notice bibliographique
Résumé
Palliative care is defined by the World Health Organization as “an approach that improves the quality of life of patients and their families facing the problem associated with life-threatening illness…”. The last days and hours of a person’s life can be associated with immense physical as well as emotional suffering. Relief of pain and other distressing symptoms, and enhancement of quality of life, are among the essential elements of good palliative care.Palliative care could benefit an estimated 69% to 82% of dying individuals in Canada. As Canada’s population ages, with increasing prevalence of chronic conditions and treatments resulting in prolonged life, it is expected that there will be an increased need for palliative care services.Approximately 9% of Canadians (or 2.7 million) reported using cannabis for medical purposes in the first half of 2019. Herbal cannabis (cannabis sativa) contains hundreds of pharmacological components, many of which are not well-characterized. Tetrahydrocannabinol (THC) is the most prevalent pharmacologically active compound and is primarily responsible for the psychoactive and physical effects of cannabis. Cannabidiol (also commonly referred to as CBD) is the second most prevalent. It has very little if any psychotropic effects. Quantity and ratio of these and other components can vary considerably between plants and even within the same plant. Two prescription cannabinoids are currently marketed in Canada: Nabiximols (Sativex) which contains THC and cannabidiol, and Nabilone (Cesamet) which is a synthetic cannabinoid. Dronabinol (Marinol), synthetic THC, was withdrawn from the Canadian market however it is available in other jurisdictions. For the purposes of this report, medical cannabis refers to use of the cannabis plant or its extracts or synthetic cannabinoids for medical purposes.Medical cannabis may be of value for a number of conditions, including but not limited to pain, nausea and vomiting, depression, anxiety and appetite stimulation. Adverse effects of cannabis are very common, developing in 80% to 90% of patients. These include but are not limited to psychiatric disturbances, sedation, speech disorders, impaired memory, dizziness, ataxia, addiction, irritability, and driving impairment. Risk of adverse effects is likely lower with cannabidiol alone as compared to THC., The potential for drug interactions is also an important concern., These risks must be considered along with the an apparent lack of evidence surrounding effectiveness of medical cannabis in many conditions for which its use is promoted.This report updates and expands on a previous summary of abstracts report.The objective of the report is to review evidence and guidelines for use of medical cannabis in the palliative care setting.
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 | 0,004 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,003 |
| Bibliométrie | 0,007 | 0,006 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,003 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,001 |
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 ».