Evidence map›Paper›PMID 37546179›Full record

ArticleCogent mental health2023

Digital Biomarker Applications Across the Spectrum of Opioid Use Disorder.

Marc Rigatti, Brittany Chapman, Peter R Chai, David Smelson, Kavita Babu, Stephanie Carreiro

Open access · diamondAbstract read
In one paragraph

Article in Cogent mental health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. 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

6 authors at 2 institutions in 1 country.

Marc RigattiDepartment of Emergency Medicine, UMass Chan Medical School, Worcester, MA, USA.ORCID 0000-0003-3395-6650
Brittany ChapmanDepartment of Emergency Medicine, UMass Chan Medical School, Worcester, MA, USA.ORCID 0000-0001-5761-5135
Peter R ChaiDepartment of Emergency Medicine, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-0955-4117
David SmelsonDepartment of Psychiatry, UMass Chan Medical School, Worcester, MA, USA.
Kavita BabuDepartment of Emergency Medicine, UMass Chan Medical School, Worcester, MA, USA.ORCID 0000-0002-2908-0468
Stephanie CarreiroDepartment of Emergency Medicine, UMass Chan Medical School, Worcester, MA, USA.ORCID 0000-0003-1798-9006
University of Massachusetts Chan Medical School · USHarvard University · US

Funding

MINDER: Wearable sensor-based detection of digital biomarkers of adherence to medications for opioid use disorderR01EB033581 · NIBIB · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI STEPHANIE P CARREIRO · 2023 to 2026
$2.6M
Development of Ingestible Biosensors to Enhance PrEP Adherence in Substance UsersK23DA044874 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI CHAI, PETER R · 2018 to 2022
$1.0M
iTransform: Wearable Biosensors to Detect the Evolution of Opioid Tolerance in Opioid Naïve IndividualsK23DA045242 · NIDA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI CARREIRO, STEPHANIE P · 2019 to 2021
$566k
NIBIB NIH HHS R01 EB033581NIDA NIH HHS K23 DA044874NIDA NIH HHS K23 DA045242
6 · The paper itself

Abstract

Opioid use disorder (OUD) is one of the most pressing public health problems of the past decade, with over eighty thousand overdose related deaths in 2021 alone. Digital technologies to measure and respond to disease states encompass both on- and off-body sensors. Such devices can be used to detect and monitor end-user physiologic or behavioral measurements (

Indexed as

addictiondigital biomarkeropioid use disorderopioid withdrawalwearable sensors

Identifiers

PMID37546179
PMCPMC10399596
OpenAlexW4385460999

What OpenQuestion holds

Textmetadata
LicenceTDM
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.