Evidence map›Paper›PMID 35720964›Full record

ArticleJournal of clinical and translational science2022

An integrated approach to improve clinical trial efficiency: Linking a clinical trial management system into the Research Integrated Network of Systems.

Royce Sampson, Steve Shapiro, Wenjun He, Signe Denmark, Katie Kirchoff, Kyle Hutson, Rechelle Paranal, Leila Forney, Kimberly McGhee, Jillian Harvey

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. A maturity model for Clinical Trials Management Ecosystem.Journal of clinical and translational science · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
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

10 authors.

Royce SampsonSouth Carolina Clinical & Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA.
Steve ShapiroOffice of Clinical Research, Office of the Vice President for Research, Medical University of South Carolina, Charleston, SC, USA.
Wenjun HeSouth Carolina Clinical & Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA.ORCID https://orcid.org/0000-0003-2043-1329
Signe DenmarkSouth Carolina Clinical & Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA.
Katie KirchoffSouth Carolina Clinical & Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA.
Kyle HutsonSouth Carolina Clinical & Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA.
Rechelle ParanalSouth Carolina Clinical & Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA.
Leila ForneySouth Carolina Clinical & Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA.
Kimberly McGheeSouth Carolina Clinical & Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA.ORCID https://orcid.org/0000-0003-0163-7225
Jillian HarveySouth Carolina Clinical & Translational Research Institute, Medical University of South Carolina, Charleston, SC, USA.ORCID https://orcid.org/0000-0002-6814-8226

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-accruing clinical trials delay translation of research breakthroughs into the clinic, expose participants to risk without providing meaningful clinical insight, increase the cost of therapies, and waste limited resources. By tracking patient accrual, Clinical and Translational Science Awards hubs can identify at-risk studies and provide them the support needed to reach recruitment goals and maintain financial solvency. However, tracking accrual has proved challenging because relevant patient- and protocol-level data often reside in siloed systems. To address this fragmentation, in September 2020 the South Carolina Clinical and Translational Research Institute, with an academic home at the Medical University of South Carolina, implemented a clinical trial management system (CTMS), with its access to patient-level data, and incorporated it into its Research Integrated Network of Systems (RINS), which links study-level data across disparate systems relevant to clinical research. Within the first year of CTMS implementation, 324 protocols were funneled through CTMS/RINS, with more than 2600 participants enrolled. Integrated data from CTMS/RINS have enabled near-real-time assessment of patient accrual and accelerated reimbursement from industry sponsors. For institutions with bioinformatics or programming capacity, the CTMS/RINS integration provides a powerful model for tracking and improving clinical trial efficiency, compliance, and cost-effectiveness.

Indexed as

accrualclinical and translational scienceclinical trialclinical trial efficiencyClinical trial management systemclinical trial metricscost-effectivedata integrationenrollmentfinancial performancelow-accruing trialspatient accrual

Identifiers

PMID35720964
PMCPMC9161043

What OpenQuestion holds

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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.