Evidence map›Paper›PMID 39698484›Full record

ArticleChina CDC weekly2024

Burden of Vaginitis Among Chinese Women Aged 18-74 Years - Five Provinces, China, 2023.

Zixuan Fan, Chenyang Pei, Jing Ma, Chengdong Xu, Zhenbo Wang, Yuanli Liu, Yuehua Hu

Abstract read
In one paragraph

Article in China CDC weekly, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Zixuan FanSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Chenyang PeiSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jing MaInstitute for Hospital Management of Tsinghua University, Shenzhen City, Guangdong Province, China.
Chengdong XuState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Zhenbo WangKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Yuanli LiuSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yuehua HuOffice of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Vaginitis is a prevalent and treatable gynecological condition in women that is associated with adverse reproductive outcomes, human papillomavirus (HPV) infection, and elevated human immunodeficiency virus (HIV) transmission risk. What is added by this report?: This study identifies elevated infection risks among women aged 35-54 years, those with three or more pregnancies, and individuals who smoke or consume alcohol, with notably higher prevalence rates in Hubei and Yunnan Provinces. The findings demonstrate that awareness of cervical cancer screening serves as a protective factor, while emphasizing screening's crucial role in early vaginitis detection. What are the implications for public health practice?: Public health interventions should prioritize women aged 35-54 years, those with multiple pregnancies, and individuals engaging in high-risk behaviors. Enhancing cervical cancer screening awareness and accessibility is essential for improving early detection and management of vaginal infections, thereby reducing reproductive health disparities.

Indexed as

Disease burdenVaginitisWomen’s health

Identifiers

PMID39698484
PMCPMC11649980

What OpenQuestion holds

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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 OpenQuestion graph.