Evidence map›Paper›PMID 37813849›Full record

ArticleHuman vaccines & immunotherapeutics2023

MOnitoring human papillomavirus Vaccine effect on Infection and cErvical diseases (MOVIE): Protocol for a cohort study using electronic health records from Yinzhou, China.

Siwei Deng, Sarah Welby, Zhike Liu, Yu Yang, Ruogu Meng, Yixin Sun, Junting Yang, Guangxu Liu, Yunkun He, Ning Jiang and 6 more

Open access · goldAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2023. 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
1.1field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  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

16 authors at 3 institutions in 2 countries.

Siwei DengDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Sarah WelbyGSK, Wavre, Belgium.
Zhike LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yu YangNational Institute of Health Data Science, Peking University, Beijing, China.
Ruogu MengNational Institute of Health Data Science, Peking University, Beijing, China.
Yixin SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Junting YangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Guangxu LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yunkun HeGSK, Shanghai, China.
Ning JiangGSK, Shanghai, China.
Zhenhua WuGSK, Shanghai, China.
Keruo LiuGSK, Shanghai, China.
Dominique RosillonGSK, Wavre, Belgium.
Catherine CohetGSK, Wavre, Belgium.
Dorota BorysGSK, Wavre, Belgium.
Siyan ZhanDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Peking University · CNGlaxoSmithKline (Belgium) · BEGlaxoSmithKline (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer is the fourth most common cancer in women, with a high disease burden worldwide. Human papillomavirus (HPV) vaccination reduces HPV-related infection and associated cervical lesions and cancers. Few studies have explored HPV vaccination impact in real-world settings in China. This study aims to monitor HPV vaccine uptake and its effects on HPV-related diseases, evaluating vaccine effectiveness in a real-world context and complementing clinical trial results. Electronic health records (EHRs) from 2010 to 2020 from the Yinzhou Regional Health Information Platform (YRHIP) will be queried/extracted to identify and monitor HPV vaccine uptake in females aged 9-45 years, and HPV-related screening and prevalence (i.e., cervical HPV infection, cervical intraepithelial neoplasia [CIN] grades 1-3, and cervical cancer) in a cohort of females aged 9-70 years. Cervical cancer screening guidelines and expert consultation will be used for intra-database validation, to determine the best algorithm for identifying HPV-related disease. Pre-launch (2010-2016) and post-launch (2018-2020) periods are predefined. A time trend analysis will be performed to describe the vaccination impact on disease prevalence and, if prerequisite conditions are met, vaccine effectiveness will be computed using logistic regression, adjusting for age, calendar year, history of screening and HPV infection. Cohort study design, outcomes validation, data linkage, and multi-step statistical analyses could provide valuable experience for designing other real-world studies in the future. The study outcomes can help inform policy-makers about uptake and HPV vaccination policy in girls and women in Yinzhou District, and provide insights on progress toward achieving goals set by the World Health Organization.

Indexed as

Papillomavirus InfectionsPapillomavirus VaccinesUterine Cervical NeoplasmsChinaCohort StudiesEarly Detection of CancerElectronic Health RecordsFemaleHuman Papillomavirus VirusesHumansVaccinationPapillomavirus Vaccinescervical cancercervical intra-epithelial neoplasiaChinaHuman papillomavirusvaccineYinzhou

Identifiers

PMID37813849
PMCPMC10997301
OpenAlexW4387472476

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.