Evidence map›Paper›PMID 38243216›Full record

ArticleBMC women's health2024

The causal relationship of female infertility and psychiatric disorders in the European population: a bidirectional two-sample Mendelian randomization study.

Pengfei Zeng, Hanxiao Zhang, Liyue Lu, Yanting Li, Tong Yu, Jun Zhang, Hang Zhou

Open access · goldAbstract 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
7.7field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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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

7 authors at 4 institutions in 2 countries.

Pengfei ZengSchool of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Hanxiao ZhangFaculty of Medicine, Université Paris-Saclay, Villejuif, France.
Liyue LuSchool of Shuguang Clinical Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yanting LiSchool of Acu-Mox and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Tong YuDepartment of Gynecology, Guangan Hospital of Traditional Chinese Medicine, Guangan, Sichuan, China.
Jun ZhangDepartment of Gynecology, Meishan Women and Children's Hospital Alliance Hospital of West China Second University Hospital, Sichuan University, Meishan, Sichuan, China.
Hang ZhouSchool of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China. zh6463@cdutcm.edu.cn.
Chengdu University of Traditional Chinese Medicine · CNShanghai University of Traditional Chinese Medicine · CNUniversité Paris-Saclay · FRWest China Second University Hospital of Sichuan University · CN

Funding

the China Postdoctoral Science Foundation 2021MD703798the National Natural Science Foundation of China 82205176
6 · The paper itself

Abstract

backgroundInfertility affects many couples globally, causing physical, emotional, and financial burdens. While observational studies suggest a link between psychiatric disorders and female infertility, causal relationships remain uncertain. Mendelian randomization analysis, using genome-wide association studies data, minimizes confounding factors and reverse causation, providing valuable insights into causal associations.

methodsWe conducted Mendelian randomization analysis to explore the potential causal relationship between female infertility and psychiatric disorders. Genome-wide association studies summary data for female infertility (112,105 individuals of European ancestry, comprising 11,442 cases and 100,663 controls), depression (807,553 individuals of European ancestry, comprising 246,363 cases and 561,190 controls), anxiety (21,763 individuals of European ancestry, comprising 7,016 cases and 14,745 controls), bipolar disorder (51,710 individuals of European ancestry, comprising 20,352 cases and 31,358 controls), and eating disorders (72,517 individuals of European ancestry, comprising 16,992 cases and 55,525 controls) were utilized. Instrumental variables were selected based on significant single nucleotide polymorphisms associated with each phenotype. We assessed instrumental variable strength, examined confounding factors, and employed inverse variance weighting, weighted median, and MR-Egger approaches for analysis.

resultsOur analysis included 85 single nucleotide polymorphisms for female infertility and 62 single nucleotide polymorphisms for psychiatric disorders. Results suggest a potential causal relationship between depression and female infertility, with both inverse variance weighting and weighted median methods showing increased infertility risk in depressed patients. Evidence is weak regarding bipolar disorder not increasing female infertility risk. We found no evidence supporting causal links between anxiety, eating disorders, and female infertility. Similarly, no causal relationship was found between female infertility and psychiatric disorders in the opposite direction. Sensitivity analyses and tests for heterogeneity and polymorphism supported result robustness.

conclusionsThis analysis provides evidence for a potential causal relationship between depression and female infertility. Addressing depression in infertile women may improve fertility outcomes. Further research is needed to explore underlying mechanisms and potential interventions for improving fertility outcomes in women with psychiatric disorders.

Indexed as

Feeding and Eating DisordersInfertility, FemaleFemaleGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideCausalityFemale infertilityMendelian randomizationPsychiatric disorders

Identifiers

PMID38243216
PMCPMC10797979
OpenAlexW4391033222

What OpenQuestion holds

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LicenceCC BY
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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.