PubMed · 16776181
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
Kouki Mori, Katsumi Yoshida. 2006-05-28. [Subacute thyroiditis].. https://pubmed.ncbi.nlm.nih.gov/16776181/
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
We consider Bayesian sensitivity analysis for unmeasured confounding in observational studies where the association between a binary exposure, binary response, measured confounders and a single binary unmeasured confounder can be formulated using logistic regression models. A model for unmeasured confounding is presented along with a family of prior distributions that model beliefs about a possible unknown unmeasured confounder. Simulation from the posterior distribution is accomplished using Markov chain Monte Carlo. Because the model for unmeasured confounding is not identifiable, standard large-sample theory for Bayesian analysis is not applicable. Consequently, the impact of different choices of prior distributions on the coverage probability of credible intervals is unknown. Using simulations, we investigate the coverage probability when averaged with respect to various distributions over the parameter space. The results indicate that credible intervals will have approximately nominal coverage probability, on average, when the prior distribution used for sensitivity analysis approximates the sampling distribution of model parameters in a hypothetical sequence of observational studies. We motivate the method in a study of the effectiveness of beta blocker therapy for treatment of heart failure.
PURPOSE: International differences in prescribing patterns for chronic heart failure (CHF) have been demonstrated repeatedly. It is not clear whether these differences arise entirely from patient characteristics or factors related to the country itself, such as health care systems or culture. We aim to assess the role of countries in this international variation, aside from the role of patient characteristics. METHODS: In this European primary care practice survey (from 1999/2000) 11062 CHF patients from 14 countries were included. The influence of country (corrected for patient characteristics) on prescribed drug regimes was assessed by multinomial logistical regression. RESULTS: Prescribing of guideline-recommended drug regimes ranged from 28.1% in Turkey to 61.8% in Hungary. Including additional regimes justifiable by patients' co-morbidities, increased overall 'rational' prescribing by 11%, but differences among countries remained similar. Multivariate analysis for one-drug and two-drug regimes explained between 35% and 42% of the total variance, country contributed 7%-8% (p < 0.005). Countries determined the number of drugs used and the likelihood of individual drug regimes. For example, in Czech Republic digoxin alone was more likely to be given than the recommended ACE-inhibitors (OR: 3.45; 95%CI: 2.56-4.64), while the combination of digoxin with ACE-inhibitors was as likely as the recommended combination of ACE-inhibitors and beta-blockers (OR: 1.17; 95%CI: 0.88-1.55). CONCLUSION: Country of residence clearly influenced prescribed drug volume and choice of drug regimes. Therefore, optimal CHF management cannot be achieved without considering country specific factors. It remains to be established which factors within health-care systems are responsible for these effects.
PURPOSE: To assess the impact of beta-blocker therapy on quality of life (QoL) in chronic heart failure (CHF) patients receiving optimal standard medication. METHODS: Randomised controlled trials (RCT) assessing QoL with a generic or disease specific instrument were identified by searching Medline, Embase, Pascal, Cochrane Controlled Trial database, and the bibliographies of the published articles. Studies published between 1985 and 2002 were included, regardless of language of publication. Cochrane Review Manager 4.2 software was used to analyse the data and standardised mean difference (SMD) was calculated to assess the effect on QoL. RESULTS: A total of 9 trials involving 1954 patients fit into the inclusion criteria for the analysis. QoL improved more in the beta-blocker group compared to the control arm, but the SMD did not reach statistical significance (SMD, 0.07; 95%CI [-0.16, 0.02]; p = 0.13). Subgroup analysis, per type of beta-blocker and various treatment follow-up showed similar results. CONCLUSIONS: In this meta-analysis there is evidence that beta-blocker therapy, on top of standard medication, does not impair QoL. Clinicians may add beta-blockers to standard therapy without concerns of impairing QoL in patients with CHF.