Evidence map›Paper›PMID 35656334›Full record

ArticleJournal of clinical and translational science2022

Securely sharing DSMB reports to speed decision making from multiple, concurrent, independent studies of similar treatments in COVID-19.

Natalie A Dilts, Frank E Harrell, Christopher J Lindsell, Samuel Nwosu, Thomas G Stewart, Matthew S Shotwell, Jill M Pulley, Terri L Edwards, Emily Sheffer Serdoz, Katelyn Benhoff and 1 more

Open access · goldAbstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 93% 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

2 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. Insights from the trial innovation network's initial consultation process.Journal of clinical and translational science · 2025
    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

11 authors at 1 institution in 1 country.

Natalie A DiltsVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID https://orcid.org/0000-0001-7127-0444
Frank E HarrellDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Christopher J LindsellVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID https://orcid.org/0000-0002-3297-2811
Samuel NwosuDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Thomas G StewartDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Matthew S ShotwellDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Jill M PulleyVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
Terri L EdwardsVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
Emily Sheffer SerdozVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID https://orcid.org/0000-0003-2512-7019
Katelyn BenhoffVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
Gordon R BernardVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
Vanderbilt University Medical Center · US

Funding

Improving Clinical trial Education, Recruitment, and Enrollment at CTSA Hubs (I-CERCH) - HEAL SupplementU24TR001579 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HARRIS, PAUL A., WILKINS, CONSUELO HOPKINS · 2016 to 2022
$34.1M
6 · The paper itself

Abstract

Introduction: As clinical trials were rapidly initiated in response to the COVID-19 pandemic, Data and Safety Monitoring Boards (DSMBs) faced unique challenges overseeing trials of therapies never tested in a disease not yet characterized. Traditionally, individual DSMBs do not interact or have the benefit of seeing data from other accruing trials for an aggregated analysis to meaningfully interpret safety signals of similar therapeutics. In response, we developed a compliant DSMB Coordination (DSMBc) framework to allow the DSMB from one study investigating the use of SARS-CoV-2 convalescent plasma to treat COVID-19 to review data from similar ongoing studies for the purpose of safety monitoring. Methods: The DSMBc process included engagement of DSMB chairs and board members, execution of contractual agreements, secure data acquisition, generation of harmonized reports utilizing statistical graphics, and secure report sharing with DSMB members. Detailed process maps, a secure portal for managing DSMB reports, and templates for data sharing and confidentiality agreements were developed. Results: Four trials participated. Data from one trial were successfully harmonized with that of an ongoing trial. Harmonized reports allowing for visualization and drill down into the data were presented to the ongoing trial's DSMB. While DSMB deliberations are confidential, the Chair confirmed successful review of the harmonized report. Conclusion: It is feasible to coordinate DSMB reviews of multiple independent studies of a similar therapeutic in similar patient cohorts. The materials presented mitigate challenges to DSMBc and will help expand these initiatives so DSMBs may make more informed decisions with all available information.

Indexed as

Data and Safety Monitoring Boards (DSMBs)data harmonizationdata sharing/poolingsafety monitoringtrial monitoring

Identifiers

PMID35656334
PMCPMC9120618
OpenAlexW4223445049

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.