Evidence map›Paper›PMID 34693798›Full record

ArticleJournal of medical screening2022

Populations at high risk of cervical cancer in Guangxi Province: Findings from two screening projects in a minority area of South China.

Huaxiang Lu, Haoyu He, Jian Qin, Mingjian Chen, Qiumei Liu, Min Li, Yongsheng Huang, Anxiang Wei, Shuzhen Liu, Min Xu and 1 more

Abstract read
In one paragraph

Article in Journal of medical screening, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

11 authors.

Huaxiang LuSchool of Public Health, 74626Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.ORCID 0000-0002-0031-3299
Haoyu HeSchool of Public Health, 74626Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Jian QinSchool of Public Health, 74626Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Mingjian ChenDepartment of Cytopathology Diagnosis, 573426Guangxi Kingmed Diagnostics Group Co., Ltd, Nanning, Guangxi Zhuang Autonomous Region, China.
Qiumei LiuSchool of Public Health, 74626Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Min LiDepartment of Cytopathology Diagnosis, 573426Guangxi Kingmed Diagnostics Group Co., Ltd, Nanning, Guangxi Zhuang Autonomous Region, China.
Yongsheng HuangDepartment of Cytopathology Diagnosis, 573426Guangxi Kingmed Diagnostics Group Co., Ltd, Nanning, Guangxi Zhuang Autonomous Region, China.
Anxiang WeiDepartment of Cytopathology Diagnosis, 573426Guangxi Kingmed Diagnostics Group Co., Ltd, Nanning, Guangxi Zhuang Autonomous Region, China.
Shuzhen LiuSchool of Public Health, 74626Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Min XuSchool of Public Health, 74626Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Zhiyong ZhangSchool of Public Health, 74626Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyse the positive rates of low-grade (LSIL) and high-grade (HSIL) squamous intraepithelial lesions, and cervical cancer (CC), and identify groups at high risk for CC in Guangxi.

settingCC screening options in Guangxi, which is the only minority autonomous area in South China, include the National Cervical Cancer Screening Project (NCCSP) and physical examination (PE).

methodsThis study was based on PE and NCCSP sample data obtained from 2012 to 2019. We calculated the positive rates of LSIL, HSIL, and CC; analysed the adjusted odds ratio (aOR) and 95% confidence intervals (CI) of the variables in multivariate logistic regression; and subsequently identified groups at high risk for CC.

resultsThe positive rates of LSIL, HSIL, and CC for the total of 873,880 samples were 1.89%, 0.60%, and 0.03%, respectively. Females over 64 years of age (vs. 50-64; aOR = 2.05; 95% CI, 1.71-2.46;

conclusionFemales from urban areas in Guangxi are at high risk for CC. Public health strategies should focus on high-risk populations.

Indexed as

Uterine Cervical DysplasiaUterine Cervical NeoplasmsChinaEarly Detection of CancerFemaleHumansMass Screeningcervical cancerHigh-risk populationscreeningurban

Identifiers

PMID34693798
PMCPMC8892057

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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.