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Risk of Bias in Systematic Reviews of Non-Randomized Studies of Adverse Cardiovascular Effects of Thiazolidinediones and Cyclooxygenase-2 Inhibitors: Application of a New Cochrane Risk of Bias Tool

Anja Bilandzic, Tiffany Fitzpatrick, Laura Rosella and David Henry

PLOS Medicine, 2016, vol. 13, issue 4, 1-20

Abstract: Background: Systematic reviews of the effects of healthcare interventions frequently include non-randomized studies. These are subject to confounding and a range of other biases that are seldom considered in detail when synthesizing and interpreting the results. Our aims were to assess the reliability and usability of a new Cochrane risk of bias (RoB) tool for non-randomized studies of interventions and to determine whether restricting analysis to studies with low or moderate RoB made a material difference to the results of the reviews. Methods and Findings: We selected two systematic reviews of population-based, controlled non-randomized studies of the relationship between the use of thiazolidinediones (TZDs) and cyclooxygenase-2 (COX-2) inhibitors and major cardiovascular events. Two epidemiologists applied the Cochrane RoB tool and made assessments across the seven specified domains of bias for each of 37 component studies. Inter-rater agreement was measured using the weighted Kappa statistic. We grouped studies according to overall RoB and performed statistical pooling for (a) all studies and (b) only studies with low or moderate RoB. Kappa scores across the seven bias domains ranged from 0.50 to 1.0. In the COX-2 inhibitor review, two studies had low overall RoB, 14 had moderate RoB, and five had serious RoB. In the TZD review, six studies had low RoB, four had moderate RoB, four had serious RoB, and two had critical RoB. The pooled odds ratios for myocardial infarction, heart failure, and death for rosiglitazone versus pioglitazone remained significantly elevated when analyses were confined to studies with low or moderate RoB. However, the estimate for myocardial infarction declined from 1.14 (95% CI 1.07–1.24) to 1.06 (95% CI 0.99–1.13) when analysis was confined to studies with low RoB. Estimates of pooled relative risks of cardiovascular events with COX-2 inhibitors compared with no nonsteroidal anti-inflammatory drug changed little when analyses were confined to studies with low or moderate RoB. The exception was a rise in the relative risk associated with ibuprofen from 1.07 (95% CI 0.97–1.18) to 1.14 (95% CI 1.03–1.26). The main limitation of our study was testing the instrument on a narrow range of pharmacoepidemiological studies; we cannot assume our findings extend to a broader range of interventions and settings. Conclusions: The Cochrane RoB tool highlighted a wide range of risks of bias in studies included in two widely cited reviews and had the potential to change the conclusions of the reviews. Systematic reviews that incorporate non-randomized studies of medical interventions should include a detailed assessment of RoB for each included study. David Henry and colleagues re-evaluate findings from two systematic reviews using the new ACROBAT-NRSI bias assessment tool for non-randomized studies.Background: In the past, clinicians used their own experience to help them make decisions about the best treatments (interventions) for their patients. Nowadays, “evidence-based medicine”—largely based on findings from randomized controlled trials (RCTs)—guides most clinical decisions. RCTs—studies that compare outcomes in groups of patients chosen at random to receive different interventions—are the best way to assess the efficacy of an intervention (the performance of a treatment under ideal conditions), but individual trials often fail to show a statistically significant difference (a difference unlikely to have arisen by chance) between two interventions. Significant differences between interventions can be detected, however, by undertaking a systematic review (a study that identifies all the RCTs on a given intervention using predefined criteria) and a meta-analysis (a statistical technique for combining, or “synthesizing,” the findings from several independent RCTs). Why Was This Study Done?: Systematic reviews of healthcare interventions can also include non-randomized studies, which use administrative databases to identify people receiving different interventions and electronic health records to determine clinical outcomes. However, non-randomized studies of interventions are prone to many “biases” that affect the accuracy of their findings. For example, a potential bias in non-randomized studies is “confounding,” the possibility that an unmeasured characteristic shared by the people receiving a specific intervention, rather than the intervention itself, is responsible for the observed outcome. When undertaking systematic reviews and meta-analyses, it is essential to measure the risk of bias (RoB) in each individual study included in the review and meta-analysis. But, although a widely used tool is available for measuring RoB in RCTs, bias is seldom considered in detail when synthesizing the results of non-randomized studies of interventions. Here, the researchers assess the reliability and usability of ACROBAT-NRSI, a tool developed by Cochrane (an organization that promotes evidence-informed health decision-making) for the assessment of RoB in non-randomized intervention studies. ACROBAT-NRSI assists authors in identifying potential concerns across seven bias domains and assesses the overall RoB of individual non-randomized intervention studies. What Did the Researchers Do and Find?: Two of the researchers independently applied the ACROBAT-NRSI process to 37 papers included in two widely cited systematic reviews of non-randomized studies of the relationship between the use of thiazolidinediones (drugs used to treat diabetes, such as rosiglitazone and pioglitazone) and cyclooxygenase-2 (COX-2) inhibitors (nonsteroidal anti-inflammatory drugs [NSAIDs] such as ibuprofen) and major cardiovascular events (heart attack [myocardial infarction] and heart failure). The two researchers largely agreed on their RoB assessments (good inter-rater agreement), which, after training and early experience, took roughly 2.5 hours to complete for each study. In the thiazolidinedione review, six studies had low overall RoB, four had moderate RoB, four had serious RoB, and two had critical RoB. In the COX-2 inhibitor review, two studies low overall RoB, fourteen had moderate RoB, and five had serious RoB. When the researchers restricted meta-analysis to studies with low or moderate RoB, estimates of the pooled relative risks of cardiovascular events with COX-2 inhibitors (compared with no NSAID) changed little, except for a rise in the relative risk associated with ibuprofen. Finally, although the risk estimates for myocardial infarction, heart failure, and death for rosiglitazone compared with pioglitazone remained significantly raised when analyses were confined to studies with low or moderate RoB, there was no significantly increased risk of myocardial infarction when the analysis was confined to studies with low RoB. What Do These Findings Mean?: These findings show that there was considerable variability in RoB among the studies included in two systematic reviews of non-randomized intervention studies. Although all 37 studies included in these reviews were originally considered to be of sufficiently high quality for inclusion using less comprehensive—or less RoB-focused—critical appraisal tools, only eight were judged to have low RoB using ACROBAT-NRSI. Notably, exclusion of studies with moderate, serious, or critical RoB resulted in clinically important changes to some of the conclusions of the original reviews. Because the researchers considered only two systematic reviews, their findings may not be generalizable—ACROBAT-NRSI needs further testing across a range of study types. Moreover, because the tool is designed to be used within a team setting, studies are needed to investigate whether the performance of the tool depends on the team’s skill mix. Importantly, however, these findings highlight the importance of including a detailed RoB assessment for each study included in systematic reviews of non-randomized studies of medical interventions. Additional Information: This list of resources contains links that can be accessed when viewing the PDF on a device or via the online version of the article at http://dx.doi.org/10.1371/journal.pmed.1001987.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pmed00:1001987

DOI: 10.1371/journal.pmed.1001987

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