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
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
20 authors.
Sathesh K SivasankaranDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0003-3037-6001 Masashi FujitaCenter for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA.ORCID 0000-0002-1457-6233 Zachary A GardellGladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA.ORCID 0000-0002-0189-9658 Yann Le GuenQuantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA, 94304, USA.ORCID 0000-0001-6649-8364 Daichi ShigemizuMedical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Kouichi OzakiMedical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Takashi MorizonoMedical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Norikazu HaraDepartment of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan.ORCID 0000-0001-8525-3469 Akinori MiyashitaDepartment of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan.ORCID 0000-0003-2508-9649 Takeshi IkeuchiDepartment of Molecular Genetics, Brain Research Institute, Niigata University, Niigata, Japan.ORCID 0000-0001-8828-8085 Carlos CruchagaNeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-0276-2899 Valerio NapolioniSchool of Biosciences and Veterinary Medicine, University of Camerino, Camerino, 62032, Italy.ORCID 0000-0002-4378-6838 M Ryan CorcesGladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA.ORCID 0000-0001-7465-7652 Vilas MenonCenter for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA.ORCID 0000-0002-4096-8601 Michael D GreiciusDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-5462-9037 Michael E BelloyDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0001-7748-9033 Funding
THE NIA GENETICS OF ALZHEIMER'S DISEASE DATA STORAGE SITEU24AG041689 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LI-SAN WANG · 2012 to 2026
$42.3MElucidating sex-specific risk for Alzheimer's disease through state-of-the-art genetics and multi-omicsR00AG075238 · NIA · WASHINGTON UNIVERSITY · PI BELLOY, MICHAEL · 2024 to 2025
$727kNIA NIH HHS R00 AG075238NIA NIH HHS U24 AG041689
6 · The paper itselfAbstract
Importance: Objectives: Perform a large-scale Design: Meta-analysis of Setting: Genetic data available from high-density single-nucleotide polymorphism (SNP) microarrays and whole-genome sequencing (WGS). Single-nucleus (sn) RNA-seq data from dorsolateral prefrontal cortex. Participants: 567,521 eligible participants for AD genetic association studies were selected from referred and volunteer samples, of which 119,852 were excluded for analysis exclusion criteria. Main Outcome and Measures: Results: 67 and 17 significant cell-type-gene pairs were identified in Conclusion and Relevance: We identified a set of
Identifiers
PMID41404291
PMCPMC12704626
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