In one paragraphArticle in medRxiv : the preprint server for health sciences, 2024. 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
5 · Who and what moneyAuthors and funding
6 authors.
Andrew MaoBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA.ORCID 0000-0002-1398-0699 Sebastian FlassbeckBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA.ORCID 0000-0003-0865-9021 Elisa MarchettoBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA.ORCID 0000-0001-7904-8434 Arjun V MasurkarAlzheimer's Disease Research Center, Center for Cognitive Neurology, New York University Grossman School of Medicine, New York, NY, USA.ORCID 0000-0002-2498-2059 Henry RusinekBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA.ORCID 0000-0001-6035-6314 Jakob AssländerBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA.ORCID 0000-0003-2288-038X Funding
Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSHUA CHODOSH · 2020 to 2026
$28.4MTR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Daniel K Sodickson · 2014 to 2026
$19.3MMedical Scientist Research Service AwardT32GM136573 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SULMAN, ERIK · 2020 to 2024
$6.8MQuantification of Multi-Compartment T1 Relaxation and Magnetization Transfer in Biological Tissue: From Biophysics to Biomarkers for Multiple SclerosisR01NS131948 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Jakob Asslaender · 2024 to 2026
$1.8MQuantitative Magnetization Transfer Imaging for Early Detection of Alzheimer's DiseaseF30AG077794 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MAO, ANDREW · 2022 to 2025
$213kNIA NIH HHS F30 AG077794NIA NIH HHS P30 AG066512NIBIB NIH HHS P41 EB017183NIGMS NIH HHS T32 GM136573NINDS NIH HHS R01 NS131948
6 · The paper itselfAbstract
Magnetization transfer MRI is sensitive to semi-solid macromolecules, including amyloid beta, and has previously been used to discriminate Alzheimer's disease (AD) patients from controls. Here, we fit an unconstrained 2-pool quantitative MT (qMT) model, i.e., without constraints on the longitudinal relaxation rate
Indexed as
Alzheimer’s diseaseamyloid-betaflorbetabenpositron emission tomographyquantitative magnetization transfer
Identifiers
PMID38699343
PMCPMC11065014
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