Article in Substance use & misuse, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 40% 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
3 citing papers in PubMed, 3 citations in OpenAlex.
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
7 authors at 5 institutions in 1 country.
Jessica LiuDepartment of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-8455-0127
Brittney Keller-HamiltonDepartment of Internal Medicine, The Ohio State University College of Medicine, Center for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.ORCID 0000-0002-8574-7263
Joanne G PattersonDivision of Epidemiology, The Ohio State University College of Public Health, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.ORCID 0000-0002-3125-2839
Donghee N LeeDepartment of Population and Quantitative Health Sciences, Division of Preventive and Behavioral Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.ORCID 0000-0002-9932-4376
Amelia V WedelDepartment of Clinical Psychology, Syracuse University, Syracuse, NY, USA.ORCID 0000-0002-3616-3499
Coralia Vázquez-OteroDepartment of Public Health, College for Health, Community and Policy, The University of Texas at San Antonio, San Antonio, TX, USA.
Elise M StevensDepartment of Population and Quantitative Health Sciences, Division of Preventive and Behavioral Medicine, University of Massachusetts Chan Medical School, Worcester, MA, USA.ORCID 0000-0002-0494-4362
The Ohio State University · USUniversity of Massachusetts Chan Medical School · USHarvard University · USSyracuse University · USThe University of Texas at San Antonio · US
Funding
The Harvard Chan Education Program in Cancer Prevention and ControlT32CA057711 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Karen M. Emmons, ANNE LINDSAY FRAZIER · 2019 to 2026
$3.3M
Training Program For Cancer Prevention and ControlT32CA229114 · NCI · OHIO STATE UNIVERSITY · PI Chyke Abadama Doubeni, Peter G. Shields · 2018 to 2026
$2.0M
Prevention And Control of Cancer: Training for Change in Individuals and SystemsT32CA172009 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEMON, STEPHENIE C., OCKENE, JUDITH K · 2019 to 2023
$1.5M
Young Adults Responses to E-Cigarette Advertisement Features and the Effects of Restricting Features on Tobacco UseR00DA046563 · NIDA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI STEVENS, ELISE MARIE · 2021 to 2023
$914k
Testing the effect of anti-tobacco message framing on polytobacco use in lesbian, gay, bisexual, and transgender young adultsR00CA260718 · NCI · OHIO STATE UNIVERSITY · PI PATTERSON, JOANNE G · 2022 to 2024
$745k
Testing the effect of anti-tobacco message framing on polytobacco use in lesbian, gay, bisexual, and transgender young adultsK99CA260718 · NCI · OHIO STATE UNIVERSITY · PI PATTERSON, JOANNE G · 2021 to 2021
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.
How Age and E-cigarette Use Status Interact to Influence E-cigarette Ad Perceptions. · full record | OpenQuestion