2016
DOI: 10.1200/jco.2016.68.8879
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Can Observational Data Replace Randomized Trials?

Abstract: The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated. Relationships are self-held unless noted. I 5 Immediate Family Member, Inst 5 My Institution. Relationships may not relate to the subject matter of this manuscript. For more information about ASCO's conflict of interest policy, please refer to www.asco.org/rwc or jco.ascopubs.org/site/ifc.

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Cited by 34 publications
(27 citation statements)
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“…For example, there have been many claims about the benefits of various vitamin supplements based on observational studies 128,129 that have been reliably refuted by large-scale randomized trials. [130][131][132] Similarly, when compared with the results from randomized trials of the effects of treatments for several different cancers, observational studies have generated improbable results despite controlling for comorbidity, extent of disease and many other characteristics that were recorded in detailed databases [133][134][135] (as is also the case for reported associations of statins with lower rates of cancer 90,[136][137][138] ). These findings are consistent with empirical studies in which biases in observational studies were shown to be large enough to conclude falsely that treatment produced benefit or harm, with none of a range of statistical strategies (such as regression analysis or propensity matching) capable of adjusting adequately or predictably for bias.…”
Section: Biases Due To Differences In Underlying Risks Of Health Outcmentioning
confidence: 99%
“…For example, there have been many claims about the benefits of various vitamin supplements based on observational studies 128,129 that have been reliably refuted by large-scale randomized trials. [130][131][132] Similarly, when compared with the results from randomized trials of the effects of treatments for several different cancers, observational studies have generated improbable results despite controlling for comorbidity, extent of disease and many other characteristics that were recorded in detailed databases [133][134][135] (as is also the case for reported associations of statins with lower rates of cancer 90,[136][137][138] ). These findings are consistent with empirical studies in which biases in observational studies were shown to be large enough to conclude falsely that treatment produced benefit or harm, with none of a range of statistical strategies (such as regression analysis or propensity matching) capable of adjusting adequately or predictably for bias.…”
Section: Biases Due To Differences In Underlying Risks Of Health Outcmentioning
confidence: 99%
“…The results have to be interpreted with caution, as any retrospective approach has inherent limitations: As known from other observational studies [ 15 , 29 ], outcome in clinical effectiveness research is influenced by a number of unmeasured confounding factors and associations between treatments, and outcomes can result from confounding and have no causal correlation [ 30 , 31 ]. We tried to control for all known confounders available in the registry, which may have influenced the clinical treatment decision-making process.…”
Section: Discussionmentioning
confidence: 99%
“…Even though routine clinical care might become a cornucopia of clinical data, this data needs to be handled with care: McGale et al [18] show that conclusions from routine clinical care data may contradict findings from randomized clinical trials. Routine care data is subject to many biases contrary to data from carefully designed trials.…”
Section: Resultsmentioning
confidence: 99%