Evidence map›Paper›PMID 39370943›Full record

ArticlePrimary health care research & development2024

Analysis of high-risk human papillomavirus infections and cervical intraepithelial neoplasia: factors influencing awareness among women of childbearing age in southwest China.

Kexue Ning, Jing Gong, Xianghua Li, Lijuan He

Abstract read
In one paragraph

Article in Primary health care research & development, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

4 authors.

Kexue NingCollege of Agroforestry and Health, The Open University of Sichuan, Chengdu, China.
Jing GongRural Education and Industrial Revitalization Research Center, The Open University of Sichuan, Chengdu, China.
Xianghua LiRural Education and Industrial Revitalization Research Center, The Open University of Sichuan, Chengdu, China.
Lijuan HeHealth Management Center, The Affiliated Hospital, Southwest Medical University, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-risk Human Papillomavirus (HPV) infections are a leading cause of cervical diseases among Han Chinese women of reproductive age. Despite studies like Mai

objectiveThis hospital-based, retrospective study analyzes the prevalence of high-risk HPV and its association with cervical intraepithelial neoplasia (CIN) among Han Chinese women of reproductive age in Southwest China.

methodsData were collected from 724 women undergoing routine health exams from December 2022 to April 2023. A total of 102 women with high-risk HPV infections were identified. A survey assessed HPV awareness, CIN incidence, and socio-demographic factors influencing awareness.

resultsOf the 724 women, 102 (14.1%) were diagnosed with high-risk HPV, with HPV-16 being the most common subtype (22.5%). Awareness was significantly lower among unmarried women (OR: 6.632,

conclusionThere is an urgent need for targeted education and HPV vaccination in Southwest China, particularly for women with lower education, rural residents, and older individuals. Subtype-specific strategies are essential for preventing and managing CIN.

Indexed as

Health Knowledge, Attitudes, PracticePapillomavirus InfectionsUterine Cervical DysplasiaUterine Cervical NeoplasmsAdolescentAdultChinaFemaleHumansMiddle AgedPrevalenceRetrospective StudiesRisk FactorsYoung Adultawarenesscervical diseaseshigh-risk HPVinfluential factorssouthwest China

Identifiers

PMID39370943
PMCPMC11464798

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.