Evidence map›Paper›PMID 32211504›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2020

Prediction of rapid amyloid and phosphorylated‐Tau accumulation in cognitively healthy individuals.

Ivan Koychev, Nemanja Vaci, Murat Bilgel, Yang An, Graciela Terrera Muniz, Dean F Wong, John Gallacher, Abhay Mogekhar, Marilyn Albert, Susan M Resnick

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% of its field
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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  5. Brain communications · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Ivan KoychevDepartment of Psychiatry University of Oxford Oxford UK.
Nemanja VaciDepartment of Psychiatry University of Oxford Oxford UK.
Murat BilgelLaboratory of Behavioral Neuroscience National Institute on Aging National Institutes of Health Baltimore Maryland.
Yang AnLaboratory of Behavioral Neuroscience National Institute on Aging National Institutes of Health Baltimore Maryland.
Graciela Terrera MunizCentre for Dementia Prevention The University of Edinburgh Edinburgh UK.
Dean F WongDepartment of Radiology Johns Hopkins School of Medicine Baltimore Maryland.
John GallacherDepartment of Psychiatry University of Oxford Oxford UK.
Abhay MogekharDepartment of Neurology Johns Hopkins School of Medicine Baltimore Maryland.
Marilyn AlbertDepartment of Neurology Johns Hopkins School of Medicine Baltimore Maryland.
Susan M ResnickLaboratory of Behavioral Neuroscience National Institute on Aging National Institutes of Health Baltimore Maryland.
Johns Hopkins University · USNational Institutes of Health · USUniversity of Oxford · GBAlzheimer Scotland · GB

Funding

Project 2 MeasurementU19AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI Abhay Moghekar · 2014 to 2026
$51.5M
'T V ASSESSMENT - MEMORY DISORDERED PATIENTS'P50AG005146 · NIA · JOHNS HOPKINS UNIVERSITY · PI HUGANIR, RICHARD L · 1985 to 2019
$37.6M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
Neuroimaging Predictors of Cognitive Decline, Impairment, and ResilienceZIAAG000191 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2025
$26.4M
Early Markers of Alzheimer DiseaseZIAAG000185 · NIA · NATIONAL INSTITUTE ON AGING · PI WALKER, KEENAN · 2009 to 2025
$20.4M
NIA NIH HHS P30 AG066507NIA NIH HHS P50 AG005146NIA NIH HHS U19 AG033655
6 · The paper itself

Abstract

Objective: To test the hypothesis that among cognitively healthy individuals, distinct groups exist in terms of amyloid and phosphorylated-tau accumulation rates; that if rapid accumulator groups exist, their membership can be predicted by Alzheimer's disease (AD) risk factors, and that time points of significant increase in AD protein accumulation will be evident. Methods: The analysis reports data from 263 individuals from the BIOCARD and 184 individuals from the Baltimore Longitudinal Study of Aging with repeated cerebrospinal fluid (CSF) and positron emission tomography (PET) sampling, respectively. We used latent class mixed-effect models to identify distinct classes of amyloid (CSF and PET) and p-Tau (CSF) accumulation rates and generalized additive modeling to investigate non-linear changes to AD biomarkers. Results: For both amyloid and p-Tau latent class models we confirmed the existence of two separate classes: accumulators and non-accumulators. The accumulator and non-accumulator groups differed significantly in terms of baseline AD protein levels and slope of change. Conclusions: The current analysis demonstrates the existence of distinct classes of amyloid and p-Tau accumulators. Predictors of class membership were identified but the overall accuracy of the models was modest, highlighting the need for additional biomarkers that are sensitive to early disease phenotypes.

Indexed as

amyloidCSFemerging Alzheimer's disease pathologyphosphorylated taupositron emission tomography

Identifiers

PMID32211504
PMCPMC7086102
OpenAlexW3004876468

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.