Evidence map›Paper›PMID 36991455›Full record

ArticleBMC women's health2023

A population-based cross-sectional study on the situation of cervical cancer screening in Liaoning, China.

Bo Zhu, Huihui Yu, Ping Ni, Xi Chen, Jing Zhang, Danbo Wang

Open access · goldAbstract read
In one paragraph

Article in BMC women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 36% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

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 at 2 institutions in 1 country.

Bo ZhuDepartment of Cancer prevention and treatment, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning Province, China.
Huihui YuDepartment of Cancer prevention and treatment, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning Province, China.
Ping NiDepartment of Cancer prevention and treatment, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning Province, China.
Xi ChenDepartment of Epidemiology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, Liaoning Province, China.
Jing ZhangDepartment of Gynaecology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, No. 44 Xiaoheyan Road, Dadong District Shenyang, 110001, Shenyang, Liaoning Province, China.
Danbo WangDepartment of Gynaecology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, No. 44 Xiaoheyan Road, Dadong District Shenyang, 110001, Shenyang, Liaoning Province, China. wangdanbo@cancerhosp-ln-cmu.com.
China Medical University · CNLiaoning Cancer Hospital & Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer (CC) screening is currently recognized as an effective intervention for CC. Previous studies found that the proportion of screening was low in China, especially in Liaoning. Therefore, we performed a population-based cross-sectional survey to investigate the situation of cervical cancer screening and analyze their related factors for providing a decision-making basis for sustainable and effective development of cervical cancer screening.

methodsThis population-based cross-sectional study involved aged 30 to 69 years in nine counties/districts in Liaoning from 2018 to 2019. Data were collected using the quantitative data collection methods, and analyzed in SPSS version 22.0.

resultsOverall, only 22.37% of 5334 respondents reported having ever been screened for cervical cancer in past 3 years, and 38.41% of respondents reported having the willingness for cervical cancer screening in next 3 years. In the rate of CC screening, multilevel analysis indicated that age, marital status, education level, type of occupation, medical insurance, family income, place of residence and regional economic level had a significant impact on proportion of screening. In the rate of CC screening willingness, multilevel analysis indicated that age, family income, health status, place of residence, regional economic level and CC screening still had a significant impact, but marital status, education level and medical insurance type had no significant impact. There was no significant difference in marital status, education level and medical insurance type after the factors of CC screening were added in the model.

conclusionOur study found both proportion of screening and willingness were at a low level, and age, economic and regional factors were the main factors for implementation of CC screening in China. In the future, targeted policies should be formulated according to the characteristics of different groups of people, and reduce the gap in the current health service capacity between different regions.

Indexed as

Uterine Cervical NeoplasmsChinaCross-Sectional StudiesEarly Detection of CancerFemaleHumansIncomeMass ScreeningCervical cancerPopulation-basedScreeningWillingness

Identifiers

PMID36991455
PMCPMC10061794
OpenAlexW4361197050

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.