Evidence map›Paper›PMID 37693107›Full record

ArticleHealth psychology and behavioral medicine2023

Comparing cigarette-cue attentional bias between people with HIV/AIDS and people with opioid use disorder who smoke.

Gopalkumar Rakesh, Joseph L Alcorn, Rebika Khanal, Seth S Himelhoch, Craig R Rush

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Health psychology and behavioral medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 32% 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.

NCT05049460 nacompletednot on this map

Adjunctive Transcranial Stimulation to Reduce Impulsivity in Opiate Use Disorder

TypeinterventionalSponsorGopalkumar RakeshRan2021 to 2024Enrolled23ConditionsOpioid-use Disorder, Tobacco Use DisorderArmsTheta Burst Stimulation, Sham TMS
NCT05295953 nacompletednot on this map

Accelerated Transcranial Magnetic Stimulation (TMS) for Smoking Cessation in People Living With HIV/AIDS (PLWHA)

TypeinterventionalSponsorGopalkumar RakeshRan2022 to 2024Enrolled4ConditionsHiv, Tobacco SmokingArmsTBS, Sham TMS
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Gopalkumar RakeshDepartment of Psychiatry, College of Medicine, University of Kentucky, Lexington, KY, USA.
Joseph L AlcornDepartment of Psychology, College of Arts & Sciences, University of Kentucky, Lexington, KY, USA.
Rebika KhanalDepartment of Psychiatry, College of Medicine, University of Kentucky, Lexington, KY, USA.
Seth S HimelhochDepartment of Psychiatry, College of Medicine, University of Kentucky, Lexington, KY, USA.
Craig R RushDepartment of Behavioral Sciences, College of Medicine, University of Kentucky, Lexington, KY, USA.
University of Kentucky · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Special populations like people living with HIV/AIDS (PLWHA) and people with opioid use disorder (OUD) smoke tobacco cigarettes at rates three to four times greater than the general population. Patients with tobacco use disorder exhibit attentional bias (AB) for cigarette cues. Eye tracking can quantify this bias by measuring fixation time (FT) on cigarette and matched neutral cues, to calculate an AB score. Although previous studies have measured this bias in people who smoke without any other comorbid conditions, no study, to our knowledge, has measured or compared this bias in special populations. Methods: We performed exploratory analyses on eye tracking data collected in two separate randomized clinical trials (RCTs) (NCT05049460, NCT05295953). We compared FT and cigarette-cue AB score (measured by subtracting FT on neutral cues from FT on cigarette cues) between PLWHA and people with OUD who smoke, using a visual probe task and Tobii Pro Fusion eye tracker. We used two cigarette cue types, one encompassing people smoking cigarettes and the other consisting of cigarette paraphernalia. We used two cue presentation times, 1000 and 2000 milliseconds (ms). Results: Cues of people smoking cigarettes elicited greater AB than cues of cigarette paraphernalia across both subject groups when cues were presented for 2000 ms, but not 1000 ms. PLWHA who smoke exhibited greater AB for cues of people smoking cigarettes than cigarette paraphernalia when presented for 2000 ms compared to people with OUD who smoke. Conclusion: We use cigarette-cue AB to quantify craving and cigarette consumption in two populations smoking at elevated rates. The addition of social cues potentiates cigarette cue AB, based on cue type and stimulus presentation time. Understanding the neurobiology of this relationship can help design novel smoking cessation treatments that target AB and prevent relapse in these populations with suboptimal response to smoking cessation treatments. Trial registration: Clinical trials that provided the data for post hoc analyses are NCT05049460 and NCT05295953.

Indexed as

attentional biascigarettesHIV/AIDSopioid use disorder

Identifiers

PMID37693107
PMCPMC10486286
OpenAlexW4386509983

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.