Evidence map›Paper›PMID 41447112›Full record

ArticleAnnals of neurology2026

Electronic Health Records to Test Multimorbidity Influences to Plasma Biomarker Interpretation for Alzheimer's Disease.

Katheryn A Q Cousins, Rory Boyle, Colleen Morse, Anurag Verma, Christopher A Brown, Kyra S O'Brien, Marina Serper, Nadia Dehghani, Penn Medicine BioBank, Corey T McMillan and 3 more

Abstract read
In one paragraph

Article in Annals of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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 registry

The 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 literature

Who cites it

1 citing paper in PubMed.

  1. Usage and positivity rates of Alzheimer's disease biomarkers in a memory clinic.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Katheryn A Q CousinsDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-1879-2766
Rory BoyleDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
Colleen MorsePenn Medicine BioBank, University of Pennsylvania, Philadelphia, PA, USA.
Anurag VermaPenn Medicine BioBank, University of Pennsylvania, Philadelphia, PA, USA.
Christopher A BrownDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-2057-3976
Kyra S O'BrienDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
Marina SerperDepartment of Medicine in Gastroenterology, University of Pennsylvania, Philadelphia, PA, USA.
Nadia DehghaniDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
Penn Medicine BioBankPenn Medicine BioBank, University of Pennsylvania, Philadelphia, PA, USA.
Corey T McMillanDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
Edward B LeeDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Leslie M ShawDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-7650-1210
David A WolkDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Research Education ComponentP30AG072979 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DAVID A WOLK · 2021 to 2026
$24.8M
Technology Identification and Training CoreP30AG073105 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DEMIRIS, GEORGE, KARLAWISH, JASON H · 2021 to 2025
$21.2M
Understanding Environmental Contributions to Heterogeneity in bvFTD.P01AG066597 · NIA · UNIVERSITY OF PENNSYLVANIA · PI David John Irwin, Corey T McMillan · 2020 to 2026
$18.8M
Pathology-guided biofluid biomarker strategies for classification and progression of frontotemporal lobar degeneration (FTLD)R01AG087258 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Katheryn Alexandra Quilico Cousins · 2024 to 2026
$2.4M
NCATS NIH HHS UL1 TR001878NIA NIH HHS P01 AG066597NIA NIH HHS P30 AG072979NIA NIH HHS P30 AG073105NIA NIH HHS R01 AG087258
6 · The paper itself

Abstract

objectivePlasma biomarkers of Alzheimer's disease (AD) pathology are frequently tested in specialized research settings, which limits the generalizability of findings. Using electronic health records and banked plasma, we evaluated plasma biomarkers-phosphorylated tau 217 (p-tau

methodsParticipants (n = 617; 44% Black/African American; 41% female) were selected from the University of Pennsylvania Medicine BioBank with plasma assayed using Fujirebio Lumipulse. International Classification of Diseases (ICD) Ninth and Tenth Revision codes determined AD dementia (ADD) (n = 43), mild-cognitive impairment (MCI) (n = 140), unspecified/non-AD cognitive impairment (CI) (n = 106), and cognitively normal cases (n = 328), and other medical histories. APOE ε4, body mass index (BMI), metrics of kidney function (eg, estimated glomerular filtration rate [eGFR]), and liver disease were derived from electronic health records. Multivariable models identified factors related to plasma levels. Previously established cutpoints classified AD status ("AD+," "AD-," or "Intermediate").

resultsPlasma p-tau

interpretationIn this real-world dataset, we identified effects of multimorbidities on plasma biomarkers, especially kidney function. The p-tau

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesElectronic Health RecordsMultimorbiditytau ProteinsAgedAged, 80 and overBiomarkersCognitive DysfunctionFemaleHumansMaleMiddle AgedPeptide FragmentsAmyloid beta-Peptidesamyloid beta-protein (1-42)BiomarkersPeptide Fragmentstau Proteins

Identifiers

PMID41447112
PMCPMC13011779

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.