In one paragraphArticle in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
12 authors.
Sarah E PaulPsychological & Brain Sciences, Washington University in Saint Louis, Saint Louis, Missouri.ORCID 0000-0003-0320-7907 Aaron J GorelikPsychological & Brain Sciences, Washington University in Saint Louis, Saint Louis, Missouri.ORCID 0000-0002-2589-1220 Nicole R KarcherDepartment of Psychiatry, Washington University School of Medicine, Saint Louis, Missouri.ORCID 0000-0001-5887-5529 Alex P MillerDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana.ORCID 0000-0001-9163-8947 David A A BarangerPsychological & Brain Sciences, Washington University in Saint Louis, Saint Louis, Missouri.ORCID 0000-0002-6659-357X Emma C JohnsonDepartment of Psychiatry, Washington University School of Medicine, Saint Louis, Missouri.
Kimberly H LeBlancDivision of Extramural Research, National Institute on Drug Abuse, Bethesda, Maryland.
Gayathri DowlingDivision of Extramural Research, National Institute on Drug Abuse, Bethesda, Maryland.
Deanna M BarchPsychological & Brain Sciences, Washington University in Saint Louis, Saint Louis, Missouri.ORCID 0000-0003-1693-8506 Alexander S HatoumPsychological & Brain Sciences, Washington University in Saint Louis, Saint Louis, Missouri.
Arpana AgrawalDepartment of Psychiatry, Washington University School of Medicine, Saint Louis, Missouri.ORCID 0000-0002-0313-793X Ryan BogdanPsychological & Brain Sciences, Washington University in Saint Louis, Saint Louis, Missouri.ORCID 0000-0002-1430-1045 Funding
ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7MABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5MAdolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5MABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7MProspective Research Studies of Maturation (PRISM)- Research ProjectU01DA041134 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ERIN MCGLADE, PERRY FRANKLIN RENSHAW · 2015 to 2026
$29.2MABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7MABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9MFIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South FloridaU01DA041156 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI Raul Gonzalez, Angela R Laird · 2015 to 2026
$22.8MABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3MEarly Life Adversity, Biological Embedding, and Risk for Developmental Precursors of Mental DisordersR01MH113883 · NIMH · WASHINGTON UNIVERSITY · PI JOAN L. LUBY, Christopher Daniel Smyser · 2018 to 2026
$20.6MABCD-USA: NYC Research ProjectU01DA041174 · NIDA · YALE UNIVERSITY · PI Arielle Ryan Baskin-Sommers, Betty J Casey · 2015 to 2026
$19.7MAdolescent Brain Cognitive Development (ABCD) Prospective Research in Studies of Maturation (PRISM) ConsortiumU01DA041117 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI LINDA CHANG, THOMAS M ERNST · 2015 to 2026
$19.5MNIAAA NIH HHS F31 AA029934NIAAA NIH HHS K01 AA030083NIAAA NIH HHS K99 AA030808NIAAA NIH HHS R00 AA030808NICHD NIH HHS R01 HD113188NIDA NIH HHS K01 DA051759NIDA NIH HHS R01 DA046224NIDA NIH HHS R01 DA054750NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041093NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041117NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041156NIDA NIH HHS U01 DA041174NIDA NIH HHS U01 DA055367NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147NIMH NIH HHS R01 MH066031NIMH NIH HHS R01 MH090786NIMH NIH HHS R01 MH113883NIMH NIH HHS U01 MH109589
6 · The paper itselfAbstract
Substance use disorders (SUDs) are moderately-highly heritable and develop in stages that typically begin in adolescence/young adulthood. It remains unclear whether SUD correlates reflect predispositional risk and/or arise as consequences of exposure. Our phenome-wide association study (PheWAS) of polygenic risk for SUDs (i.e., Problematic Alcohol Use [PAU], Tobacco Use Disorder [TUD], Cannabis Use Disorder [CUD], Opioid Use Disorder [OUD], and General Addiction Risk Factor [ADDrf]) in 1,584-5,556 8-13-year-old children enrolled in the Adolescent Brain Cognitive Development (ABCD) Study identified 309 phenotypic associations, particularly among mental health, sleep, screen time, and caffeine consumption phenotypes. Most associations were observed in substance naïve participants. Neuroimaging phenotypes (e.g., resting state functional connectivity) partially accounted for associations between SUD PRS and screen time phenotypes. Genetic liability to SUDs is expressed during childhood as potentially modifiable risk factors that could be targeted to attenuate its expression in adolescence and adulthood.
Identifiers
PMID41358298
PMCPMC12676401
What Socratic holds
Textmetadata
LicenceCC BY-NC-ND
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