Evidence map›Paper›PMID 37693814›Full record

ArticleBrain communications2023

Genetic risks of Alzheimer's by

Weijie Huang, Jianmin Zeng, Lina Jia, Dajiang Zhu, John O'Brien, Craig Ritchie, Ni Shu, Li Su

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Further validation of the association betweenFrontiers in molecular neuroscience · 2024
    Article
  6. 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

8 authors at 6 institutions in 3 countries.

Weijie HuangState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.
Jianmin ZengFaculty of Psychology, Sino-Britain Centre for Cognition and Ageing Research, Southwest University, Chongqing 400715, China.
Lina JiaBeijing Anding Hospital, Capital Medical University, Beijing 100088, China.
Dajiang ZhuDepartment of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA.
John O'BrienDepartment of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge CB2 0SZ, UK.ORCID https://orcid.org/0000-0002-0837-5080
Craig RitchieEdinburgh Dementia Prevention and Centre for Clinical Brain Sciences, Edinburgh Medical School, University of Edinburgh, Edinburgh EH4 2XU, UK.
Ni ShuState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.
Li SuDepartment of Neuroscience, Neuroscience Institute, Insigneo Institute for In Silico Medicine, University of Sheffield, Sheffield S10 2HQ, UK.
Beijing Normal University · CNUniversity of Cambridge · GBCapital Medical University · CNSouthwest University · CNThe University of Texas at Arlington · USUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic risk factors such as

Indexed as

cortical curvaturecortical thicknessgenetic risk factormachine learningMRI

Identifiers

PMID37693814
PMCPMC10489122
OpenAlexW4386531524

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.