Evidence map›Paper›PMID 32421760›Full record

ArticleCrohn's & colitis 3602020

Trends and Characteristics of Clinical Trials Participation for Inflammatory Bowel Disease in the United States: A Report From IBD Partners.

Cole Johnson, Edward L Barnes, Xian Zhang, Millie D Long

Open access · goldAbstract read
In one paragraph

Article in Crohn's & colitis 360, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 5 pooled it
3.8field-weighted citation impact, top 7% of its field
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

17 citing papers in PubMed, 5 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Guideline
  2. Pooled it
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  6. Article
  7. Review
  8. Article
  9. Incorporating Real-World Variability in Clinical IBD Research.Journal of evaluation in clinical practice · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Article
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  15. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Cole JohnsonUniversity of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Edward L BarnesDepartment of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Xian ZhangDepartment of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Millie D LongDepartment of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
University of North Carolina at Chapel Hill · US

Funding

SHORT-TERM RESEARCH TRAININGT35DK007386 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Evan Samuel Dellon · 1986 to 2026
$4.1M
NIDDK NIH HHS T35 DK007386
6 · The paper itself

Abstract

BACKGROUND AND

aimsThere are currently several recruitment challenges in randomized controlled trials (RCTs) for inflammatory bowel disease (IBD), which prolong the drug approval process and affect the generalizability of study results. The purpose of this study is to characterize individuals who participate in IBD RCTs and identify factors that could influence future recruitment strategies.

methodsWe performed a cross-sectional study within the IBD Partners cohort comparing patients with current or prior participation in an RCT of medical therapy for IBD to those without any RCT participation. Bivariate statistics were used to compare RCT participation by IBD subtype and by other demographic and disease characteristics, and predictive modeling was used to identify factors predictive of RCT participation. We calculated the percent of the cohort that participated in an RCT during each calendar year from 2011 to 2018 and accessed Clinicaltrials.gov to determine the number of active RCTs for IBD therapies per year during that same period.

resultsA total of 14,747 patients with IBD were included in the analysis and 1116 (7.6%) reported RCT participation at any time. Demographic factors predictive of RCT participation included following at an academic institution [odds ratio (OR) = 1.8; 95% confidence interval (CI) 1.51-2.04) and age 36-75 (OR = 1.7; 95% CI 1.46-1.92). Patients with Crohn's disease were more likely to participate than those with ulcerative colitis (OR = 1.5; 95% CI 1.35-1.77). Patients with more severe disease were more likely to participate, including those with prior IBD-related hospitalization (OR = 2.6; 95% CI 2.19-2.99), IBD-related surgery (OR = 2.5; 95% CI 2.24-2.87), biologic exposure (OR = 3.2; 95% CI 2.76-3.65), and "Poor" or worse quality of life (OR = 1.7; 95% CI 1.45-1.93). Steroid-free remission was associated with a lower likelihood of RCT participation (OR = 0.6; 95% CI 0.53-0.70). Although the number of active RCTs for IBD more than doubled between 2011 and 2018, RCT participation rates during that same time period decreased from 1.1% to 0.7% of the cohort.

conclusionsRCT participation declined within this cohort. Groups underrepresented in RCTs for IBD included younger patients, patients followed in community settings, and patients with more mild disease. The non-RCT group had mean disease activity scores that did not meet remission thresholds, demonstrating populations in need of alternate therapies for whom clinical trials could be an option. Given anti-tumor necrosis factor (TNF) exposure rates in this national cohort, studies should focus on anti-TNF failure populations. Investigators should make every effort to offer RCTs to all patients and network with community providers to increase awareness of RCTs.

Indexed as

characteristicsclinical trialsCrohn’s diseaseeligibilityenrollmentgeneralizabilityinflammatory bowel diseaseparticipationrandomized controlled trialstrendsulcerative colitis

Identifiers

PMID32421760
PMCPMC7207803
OpenAlexW3016669010

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.