Evidence map›Paper›PMID 32531046›Full record

ReviewNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2020

Remote Methods for Conducting Tobacco-Focused Clinical Trials.

Jennifer Dahne, Rachel L Tomko, Erin A McClure, Jihad S Obeid, Matthew J Carpenter

Abstract readReview
In one paragraph

Review in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Trial
  7. A Pilot Randomized Clinical Trial of Remote Varenicline Sampling to Promote Treatment Engagement and Smoking Cessation.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Trial
  8. Trial
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Remote Carbon Monoxide Capture via REDCap: Evaluation of an Integrated Mobile Application.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
  16. Review
  17. Article
  18. Narrative review of telemedicine applications in decentralized research.Journal of clinical and translational science · 2024
    Review
  19. Article
  20. Assessing Attention to Tobacco Warnings With a Heatmapping Task.American journal of preventive medicine · 2023
    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

5 authors.

Jennifer DahneDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC.
Rachel L TomkoDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC.
Erin A McClureDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC.
Jihad S ObeidBiomedical Informatics Center, Medical University of South Carolina, Charleston, SC.
Matthew J CarpenterDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC.

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
Proteomics CoreP30DK123704 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI RICHARD R. DRAKE · 2020 to 2026
$8.8M
Clinical Scientists Training Program in Addictions at MUSCK12DA031794 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Kevin M. Gray, AIMEE L MCRAE-CLARK · 2013 to 2026
$7.2M
Interdisciplinary Women's Health Research at MUSCK12HD055885 · NICHD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MCGINTY, JACQUELINE F. · 2007 to 2021
$7.2M
Determining the impact of cannabis use and severity on tobacco cessation outcomes: A prospective tobacco treatment trialR37CA237245 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MCCLURE, ERIN A · 2019 to 2025
$4.2M
A Naturalistic Nationwide Randomized Study of e-Cigarette Uptake and ConsequencesR01CA210625 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI CARPENTER, MATTHEW J · 2017 to 2021
$2.6M
Development and Testing of a Depression-Specific Behavioral Activation Mobile App Paired with Nicotine Replacement Therapy Sampling for Smoking Cessation Treatment Via Primary CareK23DA045766 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DAHNE, JENNIFER RENEE · 2018 to 2022
$1.0M
Technological Innovations for the Remote Monitoring of Smoking in AdolescentsK01DA036739 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MCCLURE, ERIN A · 2014 to 2018
$771k
Evaluating N-acetylcysteine as a pharmacotherapy for tobacco use disorderR34DA042228 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MCCLURE, ERIN A · 2016 to 2018
$660k
Investigating teleconsent to improve clinical research access in remote communitiesR21TR002088 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI OBEID, JIHAD S · 2017 to 2018
$473k
Remote Methods to Biochemically Verify Smoking StatusR21CA241842 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI DAHNE, JENNIFER RENEE · 2020 to 2021
$384k
NCATS NIH HHS R21 TR002088NCATS NIH HHS UL1 TR001450NCI NIH HHS R01 CA210625NCI NIH HHS R21 CA241842NCI NIH HHS R37 CA237245NICHD NIH HHS K12 HD055885NIDA NIH HHS K01 DA036739NIDA NIH HHS K12 DA031794NIDA NIH HHS K23 DA045766NIDA NIH HHS R34 DA042228NIDDK NIH HHS P30 DK123704
6 · The paper itself

Abstract

Most tobacco-focused clinical trials are based on locally conducted studies that face significant challenges to implementation and successful execution. These challenges include the need for large, diverse, yet still representative study samples. This often means a protracted, costly, and inefficient recruitment process. Multisite clinical trials can overcome some of these hurdles but incur their own unique challenges. With recent advances in mobile health and digital technologies, there is now a promising alternative: Remote Trials. These trials are led and coordinated by a local investigative team, but are based remotely, within a given community, state, or even nation. The remote approach affords many of the benefits of multisite trials (more efficient recruitment of larger study samples) without the same barriers (cost, multisite management, and regulatory hurdles). The Coronavirus Disease 2019 (COVID-19) global health pandemic has resulted in rapid requirements to shift ongoing clinical trials to remote delivery and assessment platforms, making methods for the conduct of remote trials even more timely. The purpose of the present review is to provide an overview of available methods for the conduct of remote tobacco-focused clinical trials as well as illustrative examples of how these methods have been implemented across recently completed and ongoing tobacco studies. We focus on key aspects of the clinical trial pipeline including remote: (1) study recruitment and screening, (2) informed consent, (3) assessment, (4) biomarker collection, and (5) medication adherence monitoring. Implications With recent advances in mobile health and digital technologies, remote trials now offer a promising alternative to traditional in-person clinical trials. Remote trials afford expedient recruitment of large, demographically representative study samples, without undo burden to a research team. The present review provides an overview of available methods for the conduct of remote tobacco-focused clinical trials across key aspects of the clinical trial pipeline.

Indexed as

Clinical Trials as TopicCOVID-19HumansMedication AdherenceSARS-CoV-2TelemedicineTobacco Use

Identifiers

PMID32531046
PMCPMC7454765

What OpenQuestion holds

Textmetadata
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.