Evidence map›Paper›PMID 42081044›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2026

The Use of Machine Learning to Predict Offline Adolescent e-Cigarette Use: a Proof-of-Concept.

Julie V Cristello, Krzysztof Bogusz, Elisa M Trucco

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  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

3 authors.

Julie V CristelloCenter for Alcohol and Addiction Studies, School of Public Health, Brown University, 121 S Main Street, Providence, RI, 02903, USA. Julie_cristello@brown.edu.ORCID http://orcid.org/0000-0002-7513-2206
Krzysztof BoguszDepartment of Psychiatry, Medical University of Warsaw, Nowowiejska 27, Warsaw, 00-665, Poland.
Elisa M TruccoDepartment of Psychology, Florida International University, 11200 SW 8th Street, Miami, FL, 33199, USA.

Funding

The FIU Research Center in a Minority Institution (FIU-RCMI)U54MD012393 · NIMHD · FLORIDA INTERNATIONAL UNIVERSITY · PI ERIC F WAGNER · 2017 to 2026
$32.1M
Identifying drug and alcohol displays on social media using a machine learning approach, and mechanisms that impact adolescent substance useF31DA053003 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI CRISTELLO, JULIE · 2021 to 2022
$71k
NIDA NIH HHS F31 DA053003NIDA NIH HHS F31DA053003NIMHD NIH HHS U54 MD012393NIMHD NIH HHS U54MD012393 Subproject ID: 5378
6 · The paper itself

Abstract

Identification of adolescent e-cigarette use could inform prevention and intervention programming and reduce associated consequences. One way to predict those engaging in use is by examining social media profiles and metrics. Most studies examining substance use content on social media employ self-report or human coding that have methodological limitations. Thus, the current study developed a supervised machine learning algorithm to classify participants into e-cigarette use categories based on Instagram metrics. Participants (n = 67, M

Indexed as

Adolescent BehaviorElectronic Nicotine Delivery SystemsMachine LearningSocial MediaVapingAdolescentClassification AlgorithmsFemaleHumansMalePrediction AlgorithmsPredictive Learning ModelsProof of Concept StudyAdolescenceE-cigarette useMachine learningSocial media

Identifiers

PMID42081044
PMCPMC13203420

What OpenQuestion holds

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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.