Evidence map›Paper›PMID 35493930›Full record

ReviewFrontiers in aging neuroscience2022

Associations of Polygenic Risk Score for Late-Onset Alzheimer's Disease With Biomarkers.

Qiaojun Li, Xingping Lv, Fei Jin, Kun Liao, Liyuan Gao, Jiayuan Xu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

10 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. White Matter Microstructural Alterations Mediate the Association between Polygenic Risk for Alzheimer's Disease and Cognitive Performance in Clinically Asymptomatic Adults.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Polygenic Risk Scores in Human Disease.Clinical chemistry · 2025
    Review
  7. Article
  8. Article
  9. Biomarker Methodologies: A NIMH Perspective.Advances in neurobiology · 2024
    Review
  10. Article
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

6 authors at 3 institutions in 1 country.

Qiaojun LiSchool of Information Engineering, Tianjin University of Commerce, Tianjin, China.
Xingping LvSchool of Sciences, Tianjin University of Commerce, Tianjin, China.
Fei JinDepartment of Molecular Imaging, Qingdao Central Hospital, Qingdao University, Qingdao, China.
Kun LiaoSchool of Sciences, Tianjin University of Commerce, Tianjin, China.
Liyuan GaoSchool of Sciences, Tianjin University of Commerce, Tianjin, China.
Jiayuan XuDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China.
Tianjin University of Commerce · CNQingdao University · CNTianjin Medical University General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Late-onset Alzheimer's disease (LOAD) is a common irreversible neurodegenerative disease with heterogeneous genetic characteristics. Identifying the biological biomarkers with the potential to predict the conversion from normal controls to LOAD is clinically important for early interventions of LOAD and clinical treatment. The polygenic risk score for LOAD (AD-PRS) has been reported the potential possibility for reliably identifying individuals with risk of developing LOAD recently. To investigate the external phenotype changes resulting from LOAD and the underlying etiology, we summarize the comprehensive associations of AD-PRS with multiple biomarkers, including neuroimaging, cerebrospinal fluid and plasma biomarkers, cardiovascular risk factors, cognitive behavior, and mental health. This systematic review helps improve the understanding of the biomarkers with potential predictive value for LOAD and further optimizing the prediction and accurate treatment of LOAD.

Indexed as

biomarkerbrainlate onset Alzheimer's diseasepolygenic risk scoreprediction

Identifiers

PMID35493930
PMCPMC9047857
OpenAlexW4223975296

What OpenQuestion 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 OpenQuestion graph.