Evidence map›Paper›PMID 38262954›Full record

ArticleBMC cancer2024

Association between psychiatric disorders and glioma risk: evidence from Mendelian randomization analysis.

Wenzhuo Yang, Yu Han, Changjia He, Sheng Zhong, Fei Ren, Zhongping Chen, Yonggao Mou, Ke Sai

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 6% 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, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. 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 3 institutions in 1 country.

Wenzhuo Yang *Department of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China.
Yu Han *Department of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China.
Changjia He *Department of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China.
Sheng ZhongDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China.
Fei RenThe Second Bethune Clinical Medical College, Jilin University, 130041, Changchun, P. R. China.
Zhongping ChenDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China.
Yonggao MouDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China. mouyg@sysucc.org.cn.
Ke SaiDepartment of Neurosurgery/Neuro-oncology, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China. saike@sysucc.org.cn.
Sun Yat-sen University · CNSun Yat-sen University Cancer Center · CNJilin University · CN

Funding

National Natural Science Foundation of China 81772675
6 · The paper itself

Abstract

backgroundObservational studies have explored the association of psychiatric disorders and the risk of brain cancers. However, the causal effect of specific mental illness on glioma remains elusive due to the lack of solid evidence.

methodsWe performed a two-sample bidirectional Mendelian randomization (MR) analysis to explore the causal relationships between 5 common psychiatric disorders (schizophrenia, major depressive disorder, bipolar disorder, autism spectrum disorder, and panic disorder) and glioma. Summary statistics for psychiatric disorders and glioma were extracted from Psychiatric Genomics Consortium (PGC) and 8 genome-wide association study (GWAS) datasets respectively. We calculated the MR estimates for odds ratio of glioma associated with each psychiatric disorder by using inverse-variance weighting (IVW) method. Sensitivity analyses such as weighted median estimator, MR-Egger and MR-PRESSO were leveraged to assess the strength of causal inference.

resultsA total of 30,657 participants of European ancestry were included in this study. After correction for multiple testing, we found that genetically predicted schizophrenia was associated with a statistically significant increase in odds of non-glioblastoma multiforme (non-GBM) (OR = 1.13, 95% CI: 1.03-1.23, P = 0.0096). There is little evidence for the causal relationships between the other 4 psychiatric disorders with the risk of glioma.

conclusionsIn this MR analysis, we revealed an increased risk of non-GBM glioma in individuals with schizophrenia, which gives an insight into the etiology of glioma.

Indexed as

Autism Spectrum DisorderGliomaMajor Depressive DisorderMental DisordersGenome-Wide Association StudyHumansMendelian Randomization AnalysisEtiologyGliomaMendelian randomizationSchizophrenia

Identifiers

PMID38262954
PMCPMC10807081
OpenAlexW4391158176

What OpenQuestion holds

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Registered trials

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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.