Evidence map›Paper›PMID 40621116›Full record

ArticleInternational journal of public health2025

Prevalence and Risk Factors of Cervical Lesion Among Married Women With Low Socioeconomic Status: A Study Based on a Cervical Cancer Screening Program.

Mingyu Zhang, Haoyue Wang, Ruoxi Ding, Wen Li, Ping He, Hui Li

Abstract read
In one paragraph

Article in International journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Mingyu ZhangCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Haoyue WangCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
Ruoxi DingChina Center for Health Development Studies, Peking University, Beijing, China.
Wen LiJinan Municipal Health Commission, Jinan, Shandong, China.
Ping HeChina Center for Health Development Studies, Peking University, Beijing, China.
Hui LiCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to investigate the prevalence of cervical lesions in married women with low socioeconomic status, and the related risk factors to provide evidence for the development of cervical cancer prevention strategies. Methods: Descriptive analysis was employed to estimate the prevalence of cervical lesions. Univariate analysis and binary logistic regression were used to investigate the association between the related variables and cervical intraepithelial neoplasia (CIN). Results: Among 142,677 women aged 35-64 years, 787 (0.55%) cervical lesions were detected. Being in the age group of 35-44 years, high or technical secondary school level education, living at higher level regions of economic development, and abnormal leucorrhea were associated with increased risk of cervical lesions. Menopause was found to be protective. Conclusion: Married women with lower socioeconomic status had a lower prevalence of cervical lesions but had a higher prevalence of cervical cancer. Those aged 35-44 years, with high or technical secondary school level education, living at higher level regions of economic development, with abnormal leucorrhea, and who were pre-menopausal were at higher risk for cervical lesions.

Indexed as

Social ClassUterine Cervical DysplasiaUterine Cervical NeoplasmsAdultAge FactorsEarly Detection of CancerFemaleHumansLow Socioeconomic StatusMiddle AgedPrevalenceRisk FactorsSocioeconomic Factorscervical cancercervical intraepithelial neoplasialow socioeconomic statusmarried womenrisk factors

Identifiers

PMID40621116
PMCPMC12226367

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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.