Evidence map›Paper›PMID 37214885›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Inferring Alzheimer's disease pathologic traits from clinical measures in living adults.

Jingjing Yang, Xizhu Liu, Shahram Oveisgharan, Andrea R Zammit, Sukriti Nag, David A Bennett, Aron S Buchman

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article 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
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jingjing YangCenter for Computational and Quantitative Genetics, Department of Human Genetics, Emory University School of Medicine, 615 Michael St, Atlanta, GA, 30322, USA.ORCID 0000-0002-4191-4138
Xizhu LiuDepartment of Biostatistics, Yale University School of Public Health, 60 College St, New Haven, CT, 06510, USA.
Shahram OveisgharanRush Alzheimer's Disease Center, Rush University Medicine Center, 1620 W Harrison St, Chicago, IL, 60612, USA.
Andrea R ZammitRush Alzheimer's Disease Center, Rush University Medicine Center, 1620 W Harrison St, Chicago, IL, 60612, USA.
Sukriti NagRush Alzheimer's Disease Center, Rush University Medicine Center, 1620 W Harrison St, Chicago, IL, 60612, USA.
David A BennettRush Alzheimer's Disease Center, Rush University Medicine Center, 1620 W Harrison St, Chicago, IL, 60612, USA.
Aron S BuchmanRush Alzheimer's Disease Center, Rush University Medicine Center, 1620 W Harrison St, Chicago, IL, 60612, USA.ORCID 0000-0002-6426-2742

Funding

SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
Rush Alzheimer's Disease Research CenterP30AG072975 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI Lisa L Barnes, Julie A. Schneider · 2021 to 2026
$24.7M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Impaired Gait in Older Adults: Pathologies of Alzheimer's disease and Related DisordersR01AG056352 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BUCHMAN, ARON S · 2017 to 2021
$3.5M
Thinking about walking: Can digital phenotyping of mobility improve the prediction of Alzheimer's dementia and inform on the pathologies and proteins contributing to this association?R01AG079133 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI ARON S BUCHMAN · 2022 to 2026
$3.5M
Novel Bayesian statistical tools for integrating multi-omics data to help elucidate the genomic etiology of complex phenotypesR35GM138313 · NIGMS · EMORY UNIVERSITY · PI YANG, JINGJING · 2020 to 2024
$1.9M
Application of latent and integrative approaches to understand the spectrum of cognitive agingK01AG054700 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI ZAMMIT, ANDREA ROSE · 2017 to 2021
$653k
NIA NIH HHS K01 AG054700NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG072975NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG056352NIA NIH HHS R01 AG079133NIGMS NIH HHS R35 GM138313
6 · The paper itself

Abstract

Background: Alzheimer's disease neuropathologic changes (AD-NC) are important for identify people with high risk for AD dementia (ADD) and subtyping ADD. Objective: Develop imputation models based on clinical measures to infer AD-NC. Methods: We used penalized generalized linear regression to train imputation models for four AD-NC traits (amyloid- Results: Inferred AD-NC traits at the last visit prior to death were related to postmortem measures with Conclusion: Inferred AD-NC traits based on clinical measures may provide effective AD biomarkers that can estimate the burden of AD-NC traits in aging adults.

Indexed as

Alzheimer’s diseaseAlzheimer’s disease neurologic changeComputational modelingDementiaPathology

Identifiers

PMID37214885
PMCPMC10197717

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.