Is opioid therapy for chronic non‐cancer pain associated with a greater risk of all‐cause mortality compared to non‐opioid analgesics? A systematic review of propensity score matched observational studies
Notice bibliographique
Résumé
BACKGROUND: The many risks associated with opioid therapy for chronic non-cancer pain (CNCP) have led to questions about use. This is particularly relevant for risk of increased mortality. However, underlying medical conditions of those using opioids may influence mortality findings due to confounding by indication. Similarly, non-opioid analgesics are also associated with an increased risk of mortality, too. METHODS: We have conducted a systematic review of propensity score matched observational studies comparing mortality associated with opioid use compared to non-opioid analgesics. Clinicaltrials.gov, Google Scholar, MEDLINE and Scopus were searched from inception to July 2020. Propensity score matched observational studies comparing opioids to non-opioid analgesics in real-world settings were analysed. Primary outcome was pooled adjusted hazard ratio (aHR) of all-cause death. Effects were summarized by a random effects model. RESULTS: Four studies with seven study arms and 120,186 patients were analysed. Pooled aHR for all-cause death was 1.69 (95% confidence interval [CI] 1.47, 1.95). When mortality risk was confined to out-of-hospital deaths, the pooled aHR was 2.12 (95% CI 1.46, 3.09). The most frequent cause of death was cardiovascular death. Before matching, patients with opioids were older and had more somatic diseases than patients with non-opioids. Despite extensive propensity score matchings and sensitivity analyses, all studies could not fully exclude confounding by indication. CONCLUSIONS: Possibly, opioids are associated with an increased all-cause mortality risk compared to non-opioid analgesics. When considering treatment options for patients with CNCP, the possible risk of increased all-cause mortality with opioids should be discussed. SIGNIFICANCE: An increased all-cause mortality associated with opioid use compared to non-opioid analgesics for CNCP was identified by a systematic review of four propensity score matched cohort studies in real-world settings. The number needed to harm for an additional excess death per 10,000 person-years was 116. Despite extensive propensity score matchings and sensitivity analyses, all studies could not fully exclude confounding by indication. The potential risk of increased all-cause mortality with opioids should be discussed with patients when considering opioid treatment.
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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 | 0,023 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,007 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 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 ».