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.
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0citing papers in PubMed
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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
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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
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4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
39 authors.
Alvaro ObesoHelsinki Institute for Demography and Population Health, University of Helsinki, Helsinki, Finland.ORCID 0009-0009-1739-0408 Gabin DrouardInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-3227-8483 Aline JelenkovicDepartment of Genetics, Physical Anthropology and Animal Physiology, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Bilbao, Spain.ORCID 0000-0002-6191-8371 Emanuela MeddaCentre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy.ORCID 0000-0003-4837-4549 Corrado FagnaniCentre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy.ORCID 0000-0001-5771-7772 Virgilia ToccaceliCentre for Behavioural Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy.ORCID 0000-0002-9038-521X Sari AaltonenInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-2873-4263 Jooyeon LeeInstitute of Health & Environmental, Seoul National University, Seoul, Korea.
Soo Ji LeeInstitute of Health & Environmental, Seoul National University, Seoul, Korea.
Joohon SungDepartment of Epidemiology, Seoul National University School of Public Health, Seoul, Korea.ORCID 0000-0001-9948-0160 Hyojin PyunDepartment of Epidemiology, Seoul National University School of Public Health, Seoul, Korea.ORCID 0000-0001-5301-1369 Glen E DuncanWashington State Twin Registry, Washington State University - Health Sciences Spokane, Spokane, WA, USA.ORCID 0000-0001-6909-1869 Juan R OrdoñanaDepartment of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain.
Juan F Sánchez-RomeraDepartment of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain.ORCID 0000-0002-5405-6216 Eduvigis CarrilloDepartment of Human Anatomy and Psychobiology, University of Murcia, Murcia, Spain.ORCID 0000-0001-9701-4422 Robin P CorleyInstitute for Behavioral Genetics, University of Colorado, Boulder, CO, USA.
Brooke M HuibregtseDepartment of Psychology and Neuroscience, University of Colorado, Boulder, CO, USA.ORCID 0000-0003-0977-7249 Patrik Ke MagnussonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-7315-7899 Ida K KarlssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-2673-7591 Meike BartelsDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0002-9667-7555 Lannie LigthartDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0002-6570-3319 Eco Jc de GeusDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0001-6022-2666 Margaret GatzCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-1071-9970 David A ButlerHealth and Medicine Division, The National Academies of Sciences, Engineering, and Medicine, Washington, DC, USA.
René PoolDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0001-5579-0933 Anders ErikssoncGEM, Institute of Genomics, University of Tartu, Tartu, Estonia.
Susanne BruinsDepartment of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0001-6808-7075 Nicholas G MartinQIMR Berghofer Medical Research Institute, Brisbane, Australia.
Dorret I BoomsmaComplex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, The Netherlands.ORCID 0000-0002-7099-7972 Jaakko KaprioInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-3716-2455 Karri SilventoinenHelsinki Institute for Demography and Population Health, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-1759-3079 Funding
The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0MTwin StudyP60DA011015 · NIDA · UNIVERSITY OF COLORADO DENVER · PI HEWITT, JOHN K. · 1997 to 2013
$22.5MThe VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3MThe VETSA Longitudinal Twin Study of Cognition and AgingR01AG018384 · NIA · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LYONS, MICHAEL J. · 2002 to 2012
$9.8MThe VETSA longitudinal twin study of cognition and agingR01AG018386 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2002 to 2012
$9.7MThe VETSA Longitudinal MRI Twin Study of Aging (VETSA MRI 4)R01AG076838 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE, Jeremy A Elman · 2022 to 2026
$8.7MBuilding a Unique National Community Based Twin RepositoryRC2HL103416 · NHLBI · UNIVERSITY OF WASHINGTON · PI BUCHWALD, DEDRA S · 2009 to 2010
$7.7MThe development of alcohol misuse and related problems from adolescence to early midlifeR01AA015416 · NIAAA · WASHINGTON UNIVERSITY · PI DICK, DANIELLE M, SALVATORE, JESSICA E · 2005 to 2024
$7.6MDETERMINANTS OF BEHAVIORAL DEVELOPMENT IN CHILDRENR01HD010333 · NICHD · UNIVERSITY OF COLORADO AT BOULDER · PI WADSWORTH, SALLY J · 1985 to 2010
$3.0MADOLESCENT ALCOHOL ABUSE: A TWIN-STUDY PERSPECTIVER37AA012502 · NIAAA · TRUSTEES OF INDIANA UNIVERSITY · PI ROSE, RICHARD JOSEPH · 2000 to 2009
$2.9MThe VETSA Longitudinal Twin Study of Cortisol and AgingR01AG022982 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2004 to 2007
$2.6MAdolescent Alcohol Abuse: A Twin-Study PerspectiveR01AA012502 · NIAAA · TRUSTEES OF INDIANA UNIVERSITY · PI ROSE, RICHARD JOSEPH · 2013 to 2017
$1.2MNHLBI NIH HHS RC2 HL103416NIAAA NIH HHS K05 AA000145NIAAA NIH HHS R01 AA009203NIAAA NIH HHS R01 AA012502NIAAA NIH HHS R01 AA015416NIAAA NIH HHS R37 AA012502NIA NIH HHS R01 AG018384NIA NIH HHS R01 AG018386NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG022982NIA NIH HHS R01 AG050595NIA NIH HHS R01 AG076838NIA NIH HHS R21 AG039572NICHD NIH HHS R01 HD010333NIDA NIH HHS P60 DA011015
6 · The paper itselfAbstract
Introduction: Educational attainment (EA) is negatively associated with body mass index (BMI) but less is known about the association between EA and adult BMI change. We analyzed the role of genetic and environmental factors in the association between EA and BMI trajectory components over adulthood. Data and methods: Pooled data from 59,490 twins aged 31-99 years (49% women) across 11 cohorts with EA and repeated measures of BMI were used. BMI trajectory components (baseline BMI and BMI change per decade) were estimated using linear mixed-effects (LME) and delta slope methods. EA was derived by regressing years of education on birth year and cohort. Associations between EA and BMI trajectories were evaluated with LME models in both cohort-specific and pooled data. Genetic and environmental contributions were evaluated using structural equation modeling. Results: EA was more strongly negatively associated with baseline BMI and BMI change (mean of 1.31 and 1.32 kg/m Conclusion: Individuals with higher EA tend to have lower baseline BMI and slower BMI increases across adulthood. The majority of the associations are primarily genetically mediated.
Identifiers
PMID41332816
PMCPMC12668070
What Socratic holds
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