Related Experiment Video
Updated: Oct 27, 2025

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
Published on: October 17, 2025
Study Design Algorithm
Jeff Andrews1, Frances E Likis
11Editor-in-Chief, Journal of Lower Genital Tract Diseases, Bethesda, MD, USA; and 2Editor-in-Chief, Journal of Midwifery & Women's Health; Associate Director, Vanderbilt University Evidence-based Practice Center, Nashville, TN, USA.
Objectives:
To aid authors in correctly naming their study design, to assist readers and reviewers who must decide what the design was for some published studies, and to provide consistency in evaluating the design of published studies, especially for those conducting systematic reviews and evidence synthesis.
Methods:
An annotated algorithm method is used to prompt serial questions and analysis to identify a single study design.
Results:
The algorithm begins with a research article. Primary clinical research is divided into experimental and observational studies. Key determinants include identifying the study question and the population, intervention, comparison, and outcome. Experimental therapy and prognosis studies are subdivided into 4 design types. Observational therapy and prognosis studies are subdivided into 7 design types. Experimental diagnosis and screening studies are subdivided into 2 types. Observational diagnosis and screening studies are subdivided into 5 types.
Conclusions:
An annotated algorithm may be used by authors, readers, and reviewers to consistently determine the design of clinical research studies.
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