Evidence map›Paper›PMID 31245651›Full record

ArticleContemporary clinical trials communications2019

Towards detecting cocaine use using smartwatches in the NIDA clinical trials network: Design, rationale, and methodology.

August F Holtyn, Eugene Bosworth, Lisa A Marsch, Bethany McLeman, Andrea Meier, Elizabeth C Saunders, Emre Ertin, Md Azim Ullah, Shahin Alan Samiei, Monowar Hossain and 7 more

Open access · goldAbstract read
In one paragraph

Article in Contemporary clinical trials communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  11. Digital Health and Addiction.Current opinion in systems biology · 2020
    Article
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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

17 authors at 8 institutions in 1 country.

August F HoltynJohns Hopkins University School of Medicine, 5200 Eastern Ave, Baltimore, MD, 21224, USA.
Eugene BosworthJohns Hopkins University School of Medicine, 5200 Eastern Ave, Baltimore, MD, 21224, USA.
Lisa A MarschGeisel School of Medicine at Dartmouth, 46 Centerra Parkway, Suite 315, Lebanon, NH, 03766, USA.
Bethany McLemanGeisel School of Medicine at Dartmouth, 46 Centerra Parkway, Suite 315, Lebanon, NH, 03766, USA.
Andrea MeierGeisel School of Medicine at Dartmouth, 46 Centerra Parkway, Suite 315, Lebanon, NH, 03766, USA.
Elizabeth C SaundersGeisel School of Medicine at Dartmouth, 46 Centerra Parkway, Suite 315, Lebanon, NH, 03766, USA.
Emre ErtinOhio State University, 512 Dreese Lab, 2015 Neil Avenue, Columbus, OH, 43210, USA.
Md Azim UllahCenter of Excellence for Mobile Sensor Data-to-Knowledge (MD2K), The University of Memphis FedEx Institute of Technology, Suite 335, Memphis, TN, 38152, USA.
Shahin Alan SamieiCenter of Excellence for Mobile Sensor Data-to-Knowledge (MD2K), The University of Memphis FedEx Institute of Technology, Suite 335, Memphis, TN, 38152, USA.
Monowar HossainCenter of Excellence for Mobile Sensor Data-to-Knowledge (MD2K), The University of Memphis FedEx Institute of Technology, Suite 335, Memphis, TN, 38152, USA.
Santosh KumarCenter of Excellence for Mobile Sensor Data-to-Knowledge (MD2K), The University of Memphis FedEx Institute of Technology, Suite 335, Memphis, TN, 38152, USA.
Kenzie L PrestonNational Institute on Drug Abuse Intramural Research Program, 251 Bayview Blvd, Baltimore, MD, 21224, USA.
Massoud VahabzadehNational Institute on Drug Abuse Intramural Research Program, 251 Bayview Blvd, Baltimore, MD, 21224, USA.
Dikla Shmueli-BlumbergEmmes Corporation, 401 N Washington, Suite 700, Rockville, MD, 20850, USA.
Julia CollinsEmmes Corporation, 401 N Washington, Suite 700, Rockville, MD, 20850, USA.
Jennifer McCormackEmmes Corporation, 401 N Washington, Suite 700, Rockville, MD, 20850, USA.
Udi E GhitzaNational Institute on Drug Abuse, 6001 Executive Boulevard, Rm 3105, MSC 9557, Bethesda, MD, 20892, USA.
Dartmouth College · USEmmes (United States) · USNational Institute on Drug Abuse · USUniversity of Memphis · USFedEx (United States) · USJohns Hopkins Medicine · USJohns Hopkins University · USThe Ohio State University · US

Funding

Scientific Computing & Informatics Core (SCIC)ZIHDA000534 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI ERIKSON, RYEN · 2009 to 2025
$65.3M
Project-002UG1DA040309 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2015 to 2026
$37.9M
Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Real-Time Assessment of Drug Use, Along with Mental States and EnvironmentsZIADA000499 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI EPSTEIN, DAVID · 2009 to 2025
$19.9M
Training in the Science of Co-Occurring DisordersT32DA037202 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2014 to 2026
$4.7M
NIDA NIH HHS P30 DA029926NIDA NIH HHS T32 DA037202NIDA NIH HHS UG1 DA040309
6 · The paper itself

Abstract

Cocaine use in clinical trials is often measured via self-report, which can be inaccurate, or urine drug screens, which can be intrusive and burdensome. Devices that can automatically detect cocaine use and can be worn conveniently in daily life may provide several benefits. AutoSense is a wearable, physiological-monitoring suite that can detect cocaine use, but it may be limited as a method for monitoring cocaine use because it requires wearing a chestband with electrodes. This paper describes the design, rationale, and methodology of a project that seeks to build upon and extend previous work in the development of methods to detect cocaine use via wearable, unobtrusive mobile sensor technologies. To this end, a wrist-worn sensor suite (i.e., MotionSense HRV) will be developed and evaluated. Participants who use cocaine (N = 25) will be asked to wear MotionSense HRV and AutoSense for two weeks during waking hours. Drug use will be assessed via thrice-weekly urine drug screens and self-reports, and will be used to isolate periods of cocaine use that will be differentiated from other drug use. The present study will provide information on the feasibility and acceptability of using a wrist-worn device to detect cocaine use.

Indexed as

Clinical trials networkCocaineDevice developmentMethods or experimental designMobile sensing

Identifiers

PMID31245651
PMCPMC6582185
OpenAlexW2948105686

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.