In one paragraphArticle in Journal of clinical medicine, 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
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
8 authors.
Daniel GoldsteinBiomedical Genetics Section, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA.
Nathan SahelijoBiomedical Genetics Section, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA.ORCID 0000-0003-1662-1007 Dhawal PriyadarshiBiomedical Genetics Section, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA.
Rebecca PanitchBiomedical Genetics Section, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA.
Kwangsik NhoDepartment of Radiology and Imaging Sciences and Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0002-7624-3872 Lindsay A FarrerBiomedical Genetics Section, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA.ORCID 0000-0001-5533-4225 Thor D SteinDepartment of Pathology & Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA.ORCID 0000-0001-6954-4477 Gyungah R JunBiomedical Genetics Section, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA.ORCID 0000-0002-3230-8697 Funding
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease BiobanksU01AG068057 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christos Davatzikos, Heng Huang · 2020 to 2026
$20.7MPredoctoral Training in Bioinformatics and Computational BiologyT32GM100842 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI TULLIUS, THOMAS D · 2012 to 2022
$2.8MNIA NIH HHS P30-AG072978NIA NIH HHS R01-AG048927NIA NIH HHS R01-AG069453NIA NIH HHS U01 AG068057NIA NIH HHS U01-AG068057NIA NIH HHS U01-AG081230NIA NIH HHS U01-AG082665NIA NIH HHS U19-AG068753NIA NIH HHS U19-AG079774NIGMS NIH HHS T32GM100842
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
Alzheimer’s diseaseco-expression networkdisease incidencegene profilingHLA locusnetwork-based polygenic risk scorepreserved network between blood and brainsurvival analysis
Identifiers
PMID42074686
PMCPMC13116307
What OpenQuestion holds
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LicenceCC BY
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