Evidence map›Paper›PMID 38529357›Full record

ArticleBrain communications2024

Causal relationship between multiparameter brain MRI phenotypes and age: evidence from Mendelian randomization.

Xinghao Wang, Qian Chen, Yawen Liu, Jing Sun, Jia Li, Pengfei Zhao, Linkun Cai, Wenjuan Liu, Zhenghan Yang, Zhenchang Wang and 1 more

RetractedOpen access · goldAbstract readRetracted Publication
PubMed Full text at PMC Publisher
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. It has been retracted, and should not be counted. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Xinghao WangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Qian ChenDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.ORCID https://orcid.org/0000-0001-5210-9647
Yawen LiuDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Jing SunDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Jia LiDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Pengfei ZhaoDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Linkun CaiSchool of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
Wenjuan LiuDepartment of Radiology, Aerospace Center Hospital, Beijing 100089, China.
Zhenghan YangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Zhenchang WangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.ORCID https://orcid.org/0000-0001-8190-6469
Han LvDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.ORCID https://orcid.org/0000-0001-9559-4777
Capital Medical University · CNBeihang University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the causal relationship between age and brain health (cortical atrophy, white matter integrity, white matter hyperintensities and cerebral microbleeds in various brain regions) related multiparameter imaging features using two-sample Mendelian randomization. Age was determined as chronological age of the subject. Cortical volume, white matter micro-integrity, white matter hyperintensity volume and cerebral microbleeds of each brain region were included as phenotypes for brain health. Age and imaging of brain health related genetic data were analysed to determine the causal relationship using inverse-variance weighted model, validated by heterogeneity and horizontal pleiotropy variables. Age is causally related to increased volumes of white matter hyperintensities (

Indexed as

agebrainbrain healthMendelian randomizationMRI

Identifiers

PMID38529357
PMCPMC10963122
OpenAlexW4392344578

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.