Evidence map›Paper›PMID 36213914›Full record

SynthesisFrontiers in psychiatry2022

Association between microbiological risk factors and neurodegenerative disorders: An umbrella review of systematic reviews and meta-analyses.

Xin Wang, Deming Jiang, Tianxiong Li, Xiao Zhang, Ran Wang, Song Gao, Fengyi Yang, Yan Wang, Qi Tian, Chunrong Xie and 1 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Causal associations betweenFrontiers in immunology · 2024
    Article
  3. 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

11 authors at 3 institutions in 1 country.

Xin WangDepartment of Neurology, Beijing Huairou Hospital of Traditional Chinese Medicine, Beijing, China.
Deming JiangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Tianxiong LiSurgery Centre of Diabetes Mellitus, Peking University Ninth School of Clinical Medicine (Beijing Shijitan Hospital, Capital Medical University), Beijing, China.
Xiao ZhangDepartment of Neurology, Beijing Huairou Hospital of Traditional Chinese Medicine, Beijing, China.
Ran WangDepartment of Neurology, Beijing Huairou Hospital of Traditional Chinese Medicine, Beijing, China.
Song GaoDepartment of Neurology, Beijing Huairou Hospital of Traditional Chinese Medicine, Beijing, China.
Fengyi YangDepartment of Neurology, Beijing Huairou Hospital of Traditional Chinese Medicine, Beijing, China.
Yan WangDepartment of Neurology, Beijing Huairou Hospital of Traditional Chinese Medicine, Beijing, China.
Qi TianDepartment of Neurology, Beijing Huairou Hospital of Traditional Chinese Medicine, Beijing, China.
Chunrong XieDepartment of Neurology, Beijing Huairou Hospital of Traditional Chinese Medicine, Beijing, China.
Jinghong LiangDepartment of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Beijing Shijitan Hospital · CNCapital Medical University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The role of microbiological factors in the development of neurodegenerative diseases is attracting increasing attention, while the relationship remains debated. This study aimed to comprehensively summarize and evaluate the associations between microbiological factors and the risk of neurodegenerative disorders with an umbrella review. PubMed, Embase, and the Cochrane library were used to search for papers from the earliest to March 2021 for identifying meta-analyses and systematic reviews that examined associations between microbiological factors and neurodegenerative diseases. AMSTAR2 tool was employed to evaluate the methodical quality of systematic reviews and meta-analyses. The effect size and 95% confidence interval (95% CI) were recalculated with a random effect model after the overlap was recognized by the corrected covered area (CCA) method. The heterogeneity of each meta-analysis was measured by the Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/#searchadvanced, PROSPERO, identifier: CRD42021239512.

Indexed as

meta analysesmicroorganismneurodegenerative disordersobservational studiesumbrella review

Identifiers

PMID36213914
PMCPMC9537612
OpenAlexW4297003086

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.