Evidence map›Paper›PMID 41866808›Full record

ArticleClinical and translational science2026

Association of Protocol Design-Related Factors With Enrollment Duration in Clinical Trials.

Hiroaki Tsuchiya, Miwa Sekine, Yuji Nishizaki, Noriko Hida, Takehiko Sambe, Shoji Sanada, Toshio Naito

Abstract read
In one paragraph

Article in Clinical and translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Hiroaki TsuchiyaDepartment of General Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.ORCID 0000-0002-6455-5959
Miwa SekineDivision of Medical Education, Juntendo University Faculty of Medicine, Tokyo, Japan.ORCID 0000-0002-5201-3175
Yuji NishizakiDivision of Medical Education, Juntendo University Faculty of Medicine, Tokyo, Japan.ORCID 0000-0002-6964-6702
Noriko HidaDepartment of Clinical Research and Development, Graduate School of Pharmacy, SHOWA Medical University, Tokyo, Japan.ORCID 0000-0002-7481-597X
Takehiko SambeResearch Administration Center, SHOWA Medical University, Tokyo, Japan.ORCID 0000-0001-6730-7873
Shoji SanadaClinical and Translational Research Center, Kobe University Hospital, Kobe, Hyogo, Japan.ORCID 0000-0002-2785-8117
Toshio NaitoDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.ORCID 0000-0003-1646-9930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient enrollment is a critical factor in the success of clinical trials; however, many trials fail to recruit participants within a planned timeline. Protocol design is a key barrier to efficient recruitment. However, few studies have quantitatively evaluated the association between protocol design and enrollment duration across various disease areas and time periods. We conducted a cross-sectional study using data from ClinicalTrials.gov and another related database. Industry-sponsored phase 2 and 3 drug trials completed between January 2017 and September 2024 were included. Key variables related to the protocol design were extracted from trial protocols and database entries. The enrollment duration was estimated using the trial start dates, primary completion dates, and outcome time frames. Multiple linear regression analyses were conducted to identify factors associated with enrollment duration, including comparisons between the pre- and post-COVID-19 pandemic periods. In total, 1286 trials met the inclusion criteria. Multiple linear regression identified three variables significantly associated with a longer enrollment duration: number of original enrollments (p = 0.023), number of inclusion criteria (p < 0.001), and days of assessment (p = 0.013). Before the pandemic, the number of assessment days was the primary factor, while after the pandemic, the number of inclusion criteria had the strongest association. This study demonstrated that the enrollment duration was significantly influenced by protocol design features. To improve recruitment efficiency, careful consideration of the inclusion criteria, assessment burden, and enrollment targets is essential during trial planning. Causal relationships should be interpreted cautiously and further examined in future research.

Indexed as

Clinical Trials, Phase III as TopicCOVID-19Patient SelectionResearch DesignClinical Trials, Phase II as TopicCross-Sectional StudiesDatabases, FactualHumansLinear ModelsTime Factorsclinical trialsdata analysisdrug developmentphase IIphase III

Identifiers

PMID41866808
PMCPMC13140656

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.