ReviewClinical infectious diseases : an official publication of the Infectious Diseases Society of America2018
Adaptive Designs for Clinical Trials: Application to Healthcare Epidemiology Research.
Review in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Adaptive trials in low back pain and osteoarthritis: How common are they and when should they be used? A systematic review from ClinicalTrials.gov.Osteoarthritis and cartilage open · 2026Review
- Clinical Trial Simulation: Planning With the OCTAVE Framework, Implementation and Validation Principles.Statistics in medicine · 2026Article
- The Precision Revolution in Hematologic Malignancies: A Decade of Transformative Immunotherapies and Targeted Agents.Journal of clinical medicine · 2025Review
- Cell-to-Cell and Patient-to-Patient Variability in Antimicrobial Resistance.Microorganisms · 2025Review
- Hydrogels in Cardiac Surgery: Versatile Platforms for Tissue Repair, Adhesion Prevention, and Localized Therapeutics.Gels (Basel, Switzerland) · 2025Review
- Associations between obesity and hyperuricemia combing mendelian randomization with network pharmacology.Heliyon · 2024Article
- The Next Generation: Mentoring and Diversity in the Antibacterial Resistance Leadership Group.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Article
- Under the Hood: The Scientific Leadership, Clinical Operations, Statistical and Data Management, and Laboratory Centers of the Antibacterial Resistance Leadership Group.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Article
- The Future Ain't What It Used to Be…Out With the Old…In With the Better: Antibacterial Resistance Leadership Group Innovations.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Article
- Diagnostic Testing for Sepsis: A Systematic Review of Economic Evaluations.Antibiotics (Basel, Switzerland) · 2021Review
- The Bayesian Design of Adaptive Clinical Trials.International journal of environmental research and public health · 2021Review
- Resist the Temptation of Response-Adaptive Randomization.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020Article
- Article
- The Adaptive designs CONSORT Extension (ACE) statement: a checklist with explanation and elaboration guideline for reporting randomised trials that use an adaptive design.BMJ (Clinical research ed.) · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Clinical trials with adaptive designs use data that accumulate during the course of the study to modify study elements in a prespecified manner. The goal is to provide flexibility such that a trial can serve as a definitive test of its primary hypothesis, preferably in a shorter time period, involving fewer human subjects, and at lower cost. Elements that may be modified include the sample size, end points, eligible population, randomization ratio, and interventions. Accumulating data used to drive these modifications include the outcomes, subject enrollment (including factors associated with the outcomes), and information about the application of the interventions. This review discusses the types of adaptive designs for clinical trials, emphasizing their advantages and limitations in comparison with conventional designs, and opportunities for applying these designs to healthcare epidemiology research, including studies of interventions to prevent healthcare-associated infections, combat antimicrobial resistance, and improve antimicrobial stewardship.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.