Evidence map›Paper›PMID 39291164›Full record

ArticleBrain communications2024

Can integration of Alzheimer's plasma biomarkers with MRI, cardiovascular, genetics, and lifestyle measures improve cognition prediction?

Robel K Gebre, Jonathan Graff-Radford, Vijay K Ramanan, Sheelakumari Raghavan, Ekaterina I Hofrenning, Scott A Przybelski, Aivi T Nguyen, Timothy G Lesnick, Jeffrey L Gunter, Alicia Algeciras-Schimnich and 7 more

Abstract read
In one paragraph

Article in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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

17 authors.

Robel K GebreDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0002-5746-0994
Jonathan Graff-RadfordDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0003-2770-0691
Vijay K RamananDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0001-6591-8734
Sheelakumari RaghavanDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Ekaterina I HofrenningDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.
Scott A PrzybelskiDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.
Aivi T NguyenDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Timothy G LesnickDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.
Jeffrey L GunterDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Alicia Algeciras-SchimnichDepartment of Laboratory Medicine, Mayo Clinic, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0002-4455-6217
David S KnopmanDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0002-6544-066X
Mary M MachuldaDepartment of Psychology, Mayo Clinic, Rochester, MN 55905, USA.
Maria VassilakiDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0001-8328-136X
Val J LoweDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0001-7916-622X
Ronald C PetersenDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.
Prashanthi VemuriDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0003-4286-0589

Funding

Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI KEJAL KANTARCI · 2019 to 2026
$33.5M
NIA NIH HHS P30 AG062677
6 · The paper itself

Abstract

There is increasing interest in Alzheimer's disease related plasma biomarkers due to their accessibility and scalability. We hypothesized that integrating plasma biomarkers with other commonly used and available participant data (MRI, cardiovascular factors, lifestyle, genetics) using machine learning (ML) models can improve individual prediction of cognitive outcomes. Further, our goal was to evaluate the heterogeneity of these predictors across different age strata. This longitudinal study included 1185 participants from the Mayo Clinic Study of Aging who had complete plasma analyte work-up at baseline. We used the Quanterix Simoa immunoassay to measure neurofilament light, Aβ

Indexed as

agingAlzheimer’s diseasecognitionmachine learningplasma biomarkers

Identifiers

PMID39291164
PMCPMC11406552

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.