From: Measuring effectiveness of drugs in observational databanks: promises and perils
Patient selection limited by inclusion and exclusion criteria |
Short time frame, as long-term clinical trials are ethically or logistically not possible |
Differential drop-out patterns between arms of the trial |
Statistically significant results might not necessarily be clinically significant, and vice versa |
Surrogate markers such as joint tenderness might be suboptimal indicators of prevention of severe long-term outcomes such as radiographic destruction and work disability |
Chance (bad luck) can lead to unbalanced groups |
Inflexible dosage schedules |
'Dose creep' from trial to clinic, rendering trial obsolete |
Inability to identify rare adverse events |
Hawthorne effect: patients in a study alter their behavior when they are told to be in the study |
Design bias: randomized controlled trials might be designed to maximize the probability of a particular outcome, namely the superiority of the new drug |