Evidence map›Paper›PMID 36192375›Full record

ArticleTranslational psychiatry2022

Peripheral level of CD33 and Alzheimer's disease: a bidirectional two-sample Mendelian randomization study.

Xiaojing Gu, Meng Dou, Bei Cao, Zheng Jiang, Yongping Chen

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
9.7field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Immune modulation to treat Alzheimer's disease.Molecular neurodegeneration · 2025
    Review
  12. Article
  13. Mechanism of Metal Complexes in Alzheimer's Disease.International journal of molecular sciences · 2024
    Review
  14. Review
  15. Article
  16. Article
  17. CD33 and SHP-1/Genes · 2024
    Article
  18. Review
  19. Article
  20. 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

5 authors at 2 institutions in 1 country.

Xiaojing GuMental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Meng DouChengdu institute of computer application, Chinese Academy of Sciences, Chengdu, Sichuan, China.
Bei CaoDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Zheng JiangDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yongping ChenDepartment of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China. Yongping.chen@wchscu.cn.ORCID 0000-0002-5603-4192
Sichuan University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased expression of CD33 in the brain has been suggested to be associated with increased amyloid plaque burden, while the peripheral level of CD33 in Alzheimer's disease (AD) patients and its role in AD remain unclear. The current study aimed to systematically explore the bidirectional relationship between peripheral CD33 and AD. Genome-wide association study (GWAS) datasets of AD (N

Indexed as

Alzheimer DiseaseBiomarkersGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideRNA, MessengerSialic Acid Binding Ig-like Lectin 3BiomarkersCD33 protein, humanRNA, MessengerSialic Acid Binding Ig-like Lectin 3

Identifiers

PMID36192375
PMCPMC9529877
OpenAlexW4300865280

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.