Evidence map›Paper›PMID 37707813›Full record

ArticleJAMA network open2023

Pilot Trial Characteristics, Postpilot Design Modifications, and Feasibility of Full-Scale Trials.

Xiangji Ying, Stephan Ehrhardt

Abstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. A Randomized Pilot Trial of the Donor Conception Tool to Empower Parental Telling and Talking (TELL Tool) with Their Children About Their Genetic Origins.Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners
    Trial
  2. Randomized pilot study comparing standard vs high-calorie feeding in infants with Neonatal Opioid Withdrawal Syndrome.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Xiangji YingDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Stephan EhrhardtDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Pilot trials often lead to study design changes in subsequent full-scale trials. Yet, it remains unclear whether these modifications improve the feasibility of the larger trial. Objective: To compare feasibility estimates between pilot and full-scale trials and identify pilot trial characteristics and modifications associated with equivalent or improved feasibility in the full-scale trial. Design, Setting, and Participants: This cohort study used pilot trials published between January 2005 and December 2018 and their corresponding full-scale trials. PubMed was searched for trials on February 19, 2022. Exposures: Pilot trial characteristics and postpilot trial design modifications. Main Outcomes and Measures: The outcome of interest was difference in 3 feasibility parameters: successful screening probability, enrollment rate, and retention probability. These metrics were defined as equivalent or improved if the full-scale trial's estimate was within or exceeding 10% of the pilot trial's estimate. Results: A total of 249 pairs of pilot and full-scale trials were analyzed, with 43%, 77%, and 82% of full-scale trials having equivalent or improved successful screening probabilities, enrollment rates, and retention probabilities, respectively. When pilot trials used feasibility progression criteria (relative risk [RR], 1.94; 95% CI, 1.02-5.97) and maintained masking for participants (RR, 1.82; 95% CI, 1.04-4.33) or health care practitioners (RR, 1.81; 95% CI, 1.03-3.97) consistent with the full-scale trial, the likelihood of achieving equivalent or improved screening success in full-scale trials increased. Increasing study sites after the pilot was associated with higher likelihood of equivalent or improved enrollment rates (RR, 1.03; 95% CI, 1.01-1.08). Adding extra content to the intervention (RR, 0.82; 95% CI, 0.66-0.98), changing to active control (RR, 0.74; 95% CI, 0.48-0.99), administrating the control treatment more frequently (RR, 0.60; 95% CI, 0.29-0.93), different follow-up lengths (RR, 0.85; 95% CI, 0.73-0.97), and more follow-up visits (RR, 0.86; 95% CI, 0.75-0.98) were associated with lower likelihood of equivalent or improved retention probability in the full-scale trial. Conclusions and relevance: In this cohort study of pilot and full-scale trial pairs, pilot trial characteristics and postpilot modifications had varying associations with full-scale trial's feasibility. If full-scale trials planned for masking, it was desirable to use it in the pilot. Modifications increasing participant burden might decrease full-scale trial feasibility. Trialists and funders should consider both pilot trial data and proposed design changes when assessing full-scale trials.

Indexed as

BenchmarkingCohort StudiesFeasibility StudiesHumansPilot ProjectsProbability

Identifiers

PMID37707813
PMCPMC10502523

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.