In one paragraphArticle in Pain, 2026. 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
1 · What the graph read from itWhat 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
5 · Who and what moneyAuthors and funding
5 authors.
Tong En LimNeuroRecovery Research Hub, School of Psychology, The University of New South Wales (UNSW) Sydney, Sydney, NSW, Australia.ORCID 0009-0008-5545-6829 Peter HumburgStats Central, Mark Wainwright Analytical Centre, The University of New South Wales (UNSW) Sydney, Sydney, NSW, Australia.ORCID 0000-0002-3331-6496 William R ReayMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.ORCID 0000-0001-7689-2453 Sylvia M GustinNeuroRecovery Research Hub, School of Psychology, The University of New South Wales (UNSW) Sydney, Sydney, NSW, Australia.ORCID 0000-0002-9613-9845 Yann QuidéNeuroRecovery Research Hub, School of Psychology, The University of New South Wales (UNSW) Sydney, Sydney, NSW, Australia.ORCID 0000-0002-8569-7139 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
$22.3MABCD-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
$19.5M15/21 ABCD-USA Consortium: Research Project Site at LIBRU01DA050989 · NIDA · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI ROBIN L AUPPERLE, MARTIN P. PAULUS · 2020 to 2026
$14.7MNIDA 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 DA050987NIDA NIH HHS U01 DA050988NIDA NIH HHS U01 DA050989NIDA NIH HHS U01 DA051016NIDA NIH HHS U01 DA051018NIDA NIH HHS U01 DA051037NIDA NIH HHS U01 DA051038NIDA NIH HHS U01 DA051039NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147University of New South Wales, Neuroscience Research Australia, National Health and Medical Research Council, Rebecca L. Cooper Medical Research Foundation 2025671
6 · The paper itselfAbstract
abstractChildren experiencing persistent/recurrent pain (PRP) report increased exposure to early-life adversity (ELA), often accompanied by more severe pain and worse mental health outcomes. Separate studies of PRP and ELA show similar alterations in brain morphology, yet their distinct and cumulative contributions remain poorly understood. Structural magnetic resonance imaging data at baseline and 2-year follow-up were accessed from the Adolescent Brain Cognitive Development cohort (N = 1671). Linear mixed models were used to determine the main effects of group (control, PRP only, ELA only, and PRP + ELA) and group-by-time interaction on measures of subcortical volume, cortical thickness, and surface area. In addition to determining brain morphological differences between the groups, support vector machine was applied to perform group classification based on brain measures to assess translational relevance of brain-based markers. The PRP + ELA group showed more pronounced reduction in left hippocampal volume and sensorimotor surface area and increase in left precuneus and right frontal pole surface area over time compared with all other groups. In addition, independently of time, the ELA only group showed overall smaller accumbens, thicker right prefrontal, and thinner left postcentral gyrus compared with the control and PRP only groups. Using all brain measures, support vector machine models could not identify group status better than 66.8% accuracy. Our findings provide evidence for unique brain signatures representing the cumulative effects of PRP and ELA in children during development. Identification of these brain markers can inform the choice of interventions in this population.
Indexed as
Adverse Childhood ExperiencesBrainChronic PainAdolescentChildCohort StudiesFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleABCD studyChildrenChronic painEarly life adversityLongitudinal designMRI
Identifiers
PMID42095845
PMCPMC13382866
What OpenQuestion holds
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