Evidence map›Paper›PMID 36420004›Full record

ArticleFrontiers in public health2022

Effectiveness and feasibility of self-sampling for human papillomavirus testing for internet-based cervical cancer screening.

Jingran Li, Ruifang Wu, Xinfeng Qu, Xia Huang, Ling Li, Zhixin Lin, Zhijun Zhang, Jihong Deng, Rong Liu, Xiaofeng Zhao and 7 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

  1. Pooled it
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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

17 authors.

Jingran LiDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Ruifang WuDepartment of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, China.
Xinfeng QuDepartment of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, China.
Xia HuangDepartment of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, China.
Ling LiDepartment of Obstetrics and Gynecology, Jiangxi Maternal and Child Health Hospital, Nanchang, China.
Zhixin LinDepartment of Obstetrics and Gynecology, Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Zhijun ZhangDepartment of Obstetrics and Gynecology, Guizhou Provincial People's Hospital, Guiyang, China.
Jihong DengDepartment of Obstetrics and Gynecology, Kunming City Maternal and Child Health Hospital, Kunming, China.
Rong LiuDepartment of Obstetrics and Gynecology, Xining First People's Hospital, Xining, China.
Xiaofeng ZhaoDepartment of Obstetrics and Gynecology, The Fourth Affiliated Hospital of Zhejiang University Medical College, Yiwu, China.
Songling ZhangDepartment of Obstetrics and Gynecology, The First Hospital of Jilin University, Changchun, China.
Bei LinDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
Ruifang AnDepartment of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Chao ZhaoDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Mingzhu LiDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Yun ZhaoDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
Lihui WeiDepartment of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Worldwide, around 18.2% of cervical cancer occurred in China, mainly because of lower screening coverage and screening quality in regional disparities. To assess self-sampling for human papillomavirus (HPV) testing, combined with the internet, as a primary cervical cancer screening (CCS) method in low-resource settings, and to establish an internet-based self-sampling CCS-management model. Methods: The women who participated registered on a CCS website. We recruited 20,136 women, aged 30-59 years, from 13 provinces in China, to perform vaginal self-sampling for HPV testing as a primary CCS, based on the internet. A questionnaire was subsequently used to investigate the acceptability of self-sampling. Results: Of the 20,103 women with qualified samples, 35.80% lived in remote areas, 37.69% had never undergone CCS, 59.96% were under-screened, and the overall prevalence of a high-risk of HPV was 13.86%. Of 8,136 respondents, 95.97% of women felt that self-sampling was easy to perform, 84.61% had no discomfort when using a self-sampling brush, 62.37% women were more likely to choose self-sampling for CCS in future, and 92.53% were willing to introduce the concept to others around them. The reliability and ease of self-sampling were independent factors influencing selection of self-sampling ( Conclusions: The Internet-facilitated self-sampling for HPV testing and management model for cervical cancer prevention is feasible and effective. It can be used as a supplement to the conventional screening, particularly in outlying areas with few medical resources, to improve the coverage of CCS. Clinical trial registration: https://www.chictr.org.cn, identifier: ChiCTR2000032331.

Indexed as

AlphapapillomavirusPapillomavirus InfectionsUterine Cervical NeoplasmsEarly Detection of CancerFeasibility StudiesFemaleHumansInternetMalePapillomaviridaeReproducibility of ResultsSelf CareVaginal Smearscervical cancer screeninghuman papillomavirusinternet-basedscreening coverageself-sampling

Identifiers

PMID36420004
PMCPMC9677822

What OpenQuestion holds

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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.