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Randomised Controlled Trials: The Gold Standard and Its Limits

Randomisation, blinding, and allocation concealment eliminate bias; yet short duration, cost constraints, and ethical limits restrict what trials can investigate.

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The Hierarchy's Peak

Randomised controlled trials (RCTs) represent the highest standard of evidence for establishing intervention efficacy. Randomisation—randomly assigning subjects to treated or control groups—eliminates selection bias and equalises treated and control groups on all variables except treatment. This fundamental principle enables causal inference impossible in observational studies.

Randomisation methods vary. Simple randomisation flips a coin for each subject. Block randomisation ensures balanced group sizes throughout recruitment. Stratified randomisation balances subpopulations. Minimisation algorithms adaptively randomise to balance prognostic covariates.

Allocation concealment—ensuring those enrolling subjects don't know forthcoming assignments—prevents unconscious bias in subject selection. Blinding prevents bias from knowledge of group assignment. Placebo selection requires attention: placebo should be indistinguishable from active treatment.

Crossover designs enable within-subject comparisons, reducing variability. Pragmatic versus explanatory trial designs represent different objectives. Explanatory trials maximize internal validity through highly selected participants and controlled conditions. Pragmatic trials maximize external validity through heterogeneous real-world populations.

RCT limitations restrict applicability. Cost constraints prevent trials of low-cost interventions. Ethical constraints prevent randomising to harmful treatments. Duration constraints prevent investigating long-term effects of lifelong patterns. Rare outcomes sometimes make trials impractical.

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Fuentes & referencias

  1. Greenhalgh T et al. (2017) The limitations of using randomised controlled trials as a basis for developing treatment guidelines Journal of Health Services Research & Policy PMID: 28710065
  2. Singal AG et al. (2020) Limitations of Randomized Clinical Trials Journal of Clinical Oncology PMID: 32560898
  3. Godoy P et al. (2013) A critical evaluation of in vitro cell culture models for high-throughput drug screening and toxicity Journal of Internal Medicine PMID: 22252140
  4. Rennert K et al. (2015) Overview of in vitro cell culture technologies and pharmaco-toxicological applications Tissue Engineering Part B Reviews PMID: 20654357
  5. Viennois E et al. (2021) The gut microbiome of laboratory mice: considerations and best practices for translational research Mammalian Genome PMID: 33689000
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