Evidence map›Paper›PMID 39990928›Full record

ArticleInternational journal of women's health2025

Insomnia and Female Reproductive Diseases: A Cross-Sectional and Mendelian Randomization Study.

Liyuan Fang, Yan Wang, Runxi Wang, Yuhang Fang, Yi Xie, Shuhan Yang, Suying Liu, Ying Zhang

Abstract read
In one paragraph

Article in International journal of women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Liyuan Fang *Department of Oncology, Guang'anmen Hospital of the Chinese Academy of Traditional Chinese Medicine, Beijing, People's Republic of China.ORCID 0009-0003-9912-1098
Yan Wang *Department of Oncology, Guang'anmen Hospital of the Chinese Academy of Traditional Chinese Medicine, Beijing, People's Republic of China.
Runxi WangDepartment of Oncology, Guang'anmen Hospital of the Chinese Academy of Traditional Chinese Medicine, Beijing, People's Republic of China.
Yuhang FangGraduate School, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Yi XieGraduate School, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Shuhan YangGraduate School, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Suying LiuDepartment of Oncology, Guang'anmen Hospital of the Chinese Academy of Traditional Chinese Medicine, Beijing, People's Republic of China.
Ying ZhangDepartment of Oncology, Guang'anmen Hospital of the Chinese Academy of Traditional Chinese Medicine, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Insomnia is increasingly emerging as a significant concern in public health, with a longstanding emphasis on its relationship with overall well-being. Nevertheless, few research has been devoted to investigating the relationship between insomnia and female reproductive health. Methods: In our study, we conducted a Mendelian randomization (MR) study to estimate the causal relationship between insomnia and female reproductive diseases. A total of 268 independent genetic variants associated with insomnia at the genome-wide significance level (P < 5×10 Results: Our research reveals that genetic liability to insomnia constitutes a risk factor for ovarian cysts (odds ratio [ Conclusion: Our study provides causal evidence that genetically predicted insomnia increases the risk of ovarian cysts, PCOS, and endometriosis. Accordingly, the potential significance of weight control and good sleep in keeping fit need to be emphasized.

Indexed as

endometriosisinsomniaMendelian randomizationovarian cystspolycystic ovarian syndrome

Identifiers

PMID39990928
PMCPMC11846518

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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.