Evidence map›Paper›PMID 41019595›Full record

ReviewFrontiers in psychiatry2025

The prevalence of premenstrual syndrome in China: a systematic review and meta-analyses.

Yanmei Yang, Yu Jia, Songying Fu, Lu Zhang, Feng Xiang, Wanqin Hu, Xuehua Cao

Abstract readReview
In one paragraph

Review in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  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

7 authors.

Yanmei YangSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Sichuan, China.
Yu JiaSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Sichuan, China.
Songying FuSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Sichuan, China.
Lu ZhangSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Sichuan, China.
Feng XiangSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Sichuan, China.
Wanqin HuSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Sichuan, China.
Xuehua CaoDepartment of Gynecology Nursing, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Reliable estimates of the prevalence of premenstrual syndrome (PMS) serve as the basis for adequate prevention and treatment. However, the prevalence of PMS has rarely been synthesized at the Chinese level. We conducted this systematic review and meta-analyses to provide accurate and comprehensive evidence on the prevalence of PMS in China. Methods: PubMed, Web of Science, Embase, Cochrane Library, China National Knowledge Information, Chinese Scientific Journal (VIP), Wan fang and China Biology Medicine databases were systematically searched from inception until March 8, 2025. The prevalence of PMS in China was analyzed using a random effects model. Results: A total of 77 studies (108,178 participants) were included in the meta-analyses. The pooled prevalence of PMS in China was 48% (95% CI, 44-53%). Subgroup analyses revealed significant differences in the prevalence of PMS according to the screening tool, region, setting, and mean age. Meta-regression analyses indicated that using a prospective tool was significantly associated with lower prevalence. Limitations: There was a high degree of heterogeneity among the included studies; The included studies were conducted in urban areas; There was significant publication bias in this meta - analyses; Current meta-analyses contain insufficient information on many risk factors for PMS in China. Conclusion: The findings demonstrate that most Chinese women have PMS. Given the prevalence of PMS in China, future studies should explore its risk and protective factors, provide regular screening, and implement effective preventive and treatment measures for this demographic.

Indexed as

Chinapremenstrual syndromeprevalencesystematic reviewwomen

Identifiers

PMID41019595
PMCPMC12461857

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.