Association Between Alendronate and All-Cause Mortality and Cardiovascular Mortality Among Hip Fracture: An Alternative Explanation
Notice bibliographique
Résumé
To the Editor: Sing and colleagues1 observed that individuals on alendronate (ALN) treatment had a 67% reduction in the risk of cardiovascular (CVD) mortality and 45% reduction in the risk of myocardial infarction (MI). These remarkable effect sizes deserve more explanations, and here we would like to offer an alternative interpretation relating to bias. In the study, the treated group included patients who had been on more than one anti-osteoporosis medication, and these patients were analyzed as being censored at the time of switching medication. These patients contributed to the time of follow-up in the treated group (ie, the denominator of the mortality rate), but they did not experience any event of interest because they were censored at the switching time (ie, the numerator was 0). It is not possible to examine the magnitude and direction of this bias because of no detail on how many patients had been on multiple medications. However, in the Canadian Multicentre Osteoporosis Study, we found that as many as 40% of treated patients had been given more than one anti-osteoporosis medication during the study period2 and that including these treated patients would substantially inflate the effect size. Thus, we expect that if the censoring data were handled more sensibly, the treatment effect would be lower than reported. We consider that a more sensible question to ask is that given the data at hand, what is the chance that ALN reduces CVD mortality risk at the level of clinical significance? This question can be addressed by a Bayesian analysis,3 which takes into account prior knowledge of the effect size and existing data. Two recent meta-analyses4-6 suggest that bisphosphonates reduced the risk of mortality by 1% to 20% (Table 1). Using results of previous meta-analyses as prior information and given the authors’ data, our analysis suggests that there is a very low probability (almost 0) that ALN reduces all-cause mortality risk or CVD mortality risk by more than 50% (Table 1). Moreover, there is less than one-third chance that ALN reduces all-cause mortality risk or CVD mortality risk by more than 30%. Even with the most optimistic prior information, there is less than 90% chance that ALN is associated with a 15% or greater reduction in CVD mortality and all-cause mortality risks. In summary, our interpretation of Sing and colleagues’ data is that the large observed risk reduction in mortality associated with alendronate could be attributable to the treatment of censoring data. When considered in relation to existing data, Sing and colleagues’ data suggest that in hip fracture patients, alendronate is statistically associated with reduced mortality risk, but the magnitude of association is likely modest.
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 | 0,018 | 0,100 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,003 |
| Communication savante | 0,003 | 0,004 |
| Science ouverte | 0,007 | 0,001 |
| Intégrité de la recherche | 0,011 | 0,017 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,003 |
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 ».