Elsevier

The Lancet

Volume 363, Issue 9422, 22 May 2004, Pages 1728-1731
The Lancet

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When are observational studies as credible as randomised trials?

https://doi.org/10.1016/S0140-6736(04)16261-2Get rights and content

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Benefits of randomisation

Two benefits are expected from randomisation: unbiased allocation of treatment, because of easier concealment of the allocation scheme,1 and application of statistical theory on the basis of random sampling.2

The first benefit was the reason that randomisation was introduced in medicine.3 In the first half of the 20th century, clinical investigators who tried to achieve a fair comparison between treatments often used alternation: patients received treatment in the order in which they presented.

Adverse drug reactions: breaking the link between prescription and prognosis

The average randomised drug trial is too small, and does not have sufficient follow-up to detect adverse effects that are fewer than about one per 200 per year, or that take longer than 1 year to develop. To investigate adverse drug reactions, either case-control studies or large-scale observational follow-up studies are needed.

The key to understand how observational studies about adverse drug reactions might approach a similar level of unbiasedness of allocation as if patients were randomised,

Genetic research: mendelian randomisation

When we read that people with BRCA1 mutations develop breast cancer more often than those without the mutation, or that people with factor V Leiden have more venous thrombosis than those without, we almost never ask the question that we would always ask about a randomised trial: is there a table of baseline characteristics of people with and without this gene to make certain that these people are comparable for known risk factors for the disease? Were they of similar age, sex, pregnancy status,

A proposal for epidemiology and clinical research: a three-pronged restriction

Observational researchers often seem to assume that it suffices to enter potential confounders into a statistical model, and that everything that is then left by way of effect for an exposure of interest will be an estimate of a causal association.12 From the debacles on hormone replacement therapy and β carotene, we have learned otherwise—many confounders are insufficiently known or are unquantifiable. A better strategy might be to use restrictions that directly guarantee the unbiasedness of

Conclusion

Although not all restrictions will always be feasible, and in each instance uncertainties will remain—as with any research undertaking—restriction in research topics, design, and analysis helps observational research to attain the desired benefits of randomisation, and gives observational research the chance to be as credible as randomised evidence.

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