Evidence map›Paper›PMID 34941552›Full record

ArticleJMIR formative research2021

The Successful Synchronized Orchestration of an Investigator-Initiated Multicenter Trial Using a Clinical Trial Management System and Team Approach: Design and Utility Study.

Dinesh Pal Mudaranthakam, Alexandra Brown, Elizabeth Kerling, Susan E Carlson, Christina J Valentine, Byron Gajewski

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02626299 (Assessment of DHA On Reducing Early Preterm Birth), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 26% 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.

NCT02626299 phase3completednot on this map

Assessment of DHA On Reducing Early Preterm Birth (ADORE Trial)

TypeinterventionalSponsorUniversity of Kansas Medical CenterRan2016 to 2020Enrolled1,100ConditionsPreterm BirthArmsDocosahexaenoic acid - 800mg/day, Docosahexaenoic acid - 200mg/day, Placebo
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Dinesh Pal MudaranthakamUniversity of Kansas Medical Center, Kansas City, KS, United States.ORCID https://orcid.org/0000-0001-9767-1158
Alexandra BrownUniversity of Kansas Medical Center, Kansas City, KS, United States.ORCID https://orcid.org/0000-0002-1594-3269
Elizabeth KerlingUniversity of Kansas Medical Center, Kansas City, KS, United States.ORCID https://orcid.org/0000-0001-7707-070X
Susan E CarlsonUniversity of Kansas Medical Center, Kansas City, KS, United States.ORCID https://orcid.org/0000-0003-3579-1685
Christina J ValentineUniversity of Cincinnati, Cincinnati, OH, United States.ORCID https://orcid.org/0000-0002-5467-0785
Byron GajewskiUniversity of Kansas Medical Center, Kansas City, KS, United States.ORCID https://orcid.org/0000-0001-7589-8247
University of Kansas Medical Center · USUniversity of Cincinnati · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs the cost of clinical trials continues to rise, novel approaches are required to ensure ethical allocation of resources. Multisite trials have been increasingly utilized in phase 1 trials for rare diseases and in phase 2 and 3 trials to meet accrual needs. The benefits of multisite trials include easier patient recruitment, expanded generalizability, and more robust statistical analyses. However, there are several problems more likely to arise in multisite trials, including accrual inequality, protocol nonadherence, data entry mistakes, and data integration difficulties.

objectiveThe Biostatistics & Data Science department at the University of Kansas Medical Center developed a clinical trial management system (comprehensive research information system [CRIS]) specifically designed to streamline multisite clinical trial management.

methodsA National Institute of Child Health and Human Development-funded phase 3 trial, the ADORE (assessment of docosahexaenoic acid [DHA] on reducing early preterm birth) trial fully utilized CRIS to provide automated accrual reports, centralize data capture, automate trial completion reports, and streamline data harmonization.

resultsUsing the ADORE trial as an example, we describe the utility of CRIS in database design, regulatory compliance, training standardization, study management, and automated reporting. Our goal is to continue to build a CRIS through use in subsequent multisite trials. Reports generated to suit the needs of future studies will be available as templates.

conclusionsThe implementation of similar tools and systems could provide significant cost-saving and operational benefit to multisite trials.

trial registrationClinicalTrials.gov NCT02626299; https://tinyurl.com/j6erphcj.

Indexed as

accrualaccrual inequalityclinical trialscostdata managementdata qualityhealth carehealthcarehealth operationsmetricsrare diseasestrial execution

Identifiers

PMID34941552
PMCPMC8734918
OpenAlexW3215120638

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.