Evidence map›Paper›PMID 38977982›Full record

ArticleBMC women's health2024

Relationships between nine neuropsychiatric disorders and cervical cancer: insights from genetics, causality and shared gene expression patterns.

Jie Li, Jie Qi, Junqin Zhang, Yuan Zhang, Xianghua Huang

Abstract read
In one paragraph

Article in BMC women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Article
  5. 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

5 authors.

Jie Li *Department of Gynecology, Hebei General Hospital, Shijiazhuang, Hebei, 050051, China. lijie19821029@126.com.
Jie QiDepartment of Gynecology, Hebei General Hospital, Shijiazhuang, Hebei, 050051, China.
Junqin ZhangDepartment of Gynecology, Hebei General Hospital, Shijiazhuang, Hebei, 050051, China.
Yuan ZhangDepartment of Gynecology, Hebei General Hospital, Shijiazhuang, Hebei, 050051, China.
Xianghua HuangDepartment of Obstetrics and Gynecology, Second Hospital of Hebei Medical University, No. 215, HePing West Road, Shijiazhuang, Hebei, 050000, China. huangxh2022@hebmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeuropsychiatric disorders and cervical cancer exert substantial influences on women's health. Furthermore, neuropsychiatric disorders frequently manifest as common symptoms in cancer patients, potentially increasing the risk of malignant neoplasms. This study aimed to identify neuropsychiatric disorders that are genetically and causally related to cervical cancer and to investigate the molecular mechanisms underlying these associations.

methodsGWAS data related to nine neuropsychiatric disorders, namely, schizophrenia, bipolar disorder, autism spectrum disorder, Parkinson's disease, anxiety, Alzheimer's disease, mood disorders, depression, and alcohol dependence, were obtained to calculate heritability (h

resultsAnxiety, mood disorders, depression, and alcohol dependence were genetically correlated with cervical cancer (all adjusted P < 0.05). Only depression was causally related to cervical cancer in both the discovery (OR

conclusionsGenetic, causal and molecular evidence indicates that depression increases the risk of cervical cancer. The TNF, VEGFA, JUN, and IGF-1 genes and the neuron death, PI3K-Akt, and human papillomavirus infection signalling pathways may possibly explain this association.

Indexed as

Genome-Wide Association StudyUterine Cervical NeoplasmsCohort StudiesFemaleGenetic Predisposition to DiseaseHumansMendelian Randomization AnalysisMental DisordersCausal associationCervical cancerDepressionGene expression patternsGenetic correlation

Identifiers

PMID38977982
PMCPMC11229200

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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.