Long-term opioid prescribing and the incidence of opioid-related hospitalizations or emergency department visits among patients with metastatic cancer.
Notice bibliographique
Résumé
200 Background: Many patients with metastatic cancer experience cancer-related pain which is commonly managed using opioids. Although opioids are an effective tool for cancer pain management, their use can result in adverse effects which may be related to long-term use and are understudied in this population. Therefore, we aimed to describe long-term opioid prescribing (LTOP) practices among patients with metastatic cancer and investigate the incidence of opioid-related hospitalizations and emergency department (ED) visits among recipients of long-term prescribing. Methods: This retrospective cohort study used population-based data from Alberta, Canada to identify patients diagnosed with stage IV cancers between 2004-2017 who had at least 1-year of follow-up and were opioid naïve at diagnosis. LTOP was defined as receipt of a ≥90-day supply of opioids with less than a 30-day gap in supply within a 180-day period. Prescribing practices were characterized according to timing (early vs. end-of-life [EoL] onset), morphine equivalent dose, duration, and concurrent medication use. The EoL phase of disease was defined as the year preceding death. The incidence rate of opioid-related encounters was compared between different characteristics of LTOP. Results: The study included a total of 10927 patients, 2521 (23%) of whom received long-term opioid prescribing after diagnosis. LTOP became more common as patients approached EoL, with most patients (53%) having LTOP initiated only within their last year of life. 85 patients (3.4%) experienced an opioid-related hospitalization or ED visit after initiation of LTOP, with an incidence rate of 2.36 (95% CI 1.92, 2.86) encounters per 100 person-years. Higher opioid dosage and concurrent prescribing of anxiolytics, benzodiazepines, antidepressants, and neuroleptic medications were significantly associated with a higher incidence of opioid-related encounters. Conclusions: Long-term opioid prescribing is commonly experienced by patients living with metastatic cancer as a chronic disease. The concurrent use of psychoactive drugs during LTOP was associated with experiencing opioid-related hospitalizations/ED visits.
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 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 | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,000 |
| 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, 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 ».