2006
DOI: 10.1016/j.sapharm.2005.12.001
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Addressing the issue of channeling bias in observational studies with propensity scores analysis

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Cited by 69 publications
(54 citation statements)
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“…3,4 Neither study evaluated lipid levels; however, the current study had equal use of statin therapies across groups. After the publication of the Gerritus study, Winkelmayer et al 16 found a 13% greater risk of AHF (incident rate ratio, 1.13; 95% CI, 1.01 to 1.26) and 15% greater risk (incident rate ratio, 1.15; 95% CI, 1.05 to 1.26) of mortality associated with rosiglitazone compared with pioglitazone for patients who initiated therapy between January 1, 2000, and December 31,2005, in a large study of Medicare patients Ͼ65 years of age. No significant differences were found in rates of MI.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…3,4 Neither study evaluated lipid levels; however, the current study had equal use of statin therapies across groups. After the publication of the Gerritus study, Winkelmayer et al 16 found a 13% greater risk of AHF (incident rate ratio, 1.13; 95% CI, 1.01 to 1.26) and 15% greater risk (incident rate ratio, 1.15; 95% CI, 1.05 to 1.26) of mortality associated with rosiglitazone compared with pioglitazone for patients who initiated therapy between January 1, 2000, and December 31,2005, in a large study of Medicare patients Ͼ65 years of age. No significant differences were found in rates of MI.…”
Section: Discussionmentioning
confidence: 99%
“…30 To address this potential bias, propensity score matching was used to help control channeling bias. 31 Comparison of the data shows there were few differences between groups before matching. After matching, no statistically significant differences were observed in the variables of interest between patients in the preindex period.…”
Section: Study Limitationsmentioning
confidence: 99%
“…However, restrictive entry criteria and stringent protocols can be barriers to generalizing RCT findings to clinical practice. Although observational studies lack the robustness of RCTs and may include uncontrolled confounding variables [26], they can nevertheless yield important data to complement the results from RCTs (e.g. in the study of rare outcomes, risk factors and side effects) and provide valuable information on long-term outcomes in routine clinical practice [27].…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, a well-designed observational study must define, a priori , clinically meaningful subgroups to permit data collection for known and proposed new confounders. Incorporating such data into statistical models that account for confounding secondary to nonrandom treatment assignment is a cornerstone of observational CER [35]. There is a track record of successful observational cohort studies using patient-reported outcomes in prostate cancer.…”
mentioning
confidence: 99%