Evidence map›Paper›PMID 39035144›Full record

ArticleWomen's health reports (New Rochelle, N.Y.)2024

Human Papillomaviruses Genotype Distribution and Replacement by Year from 2014 to 2020 in Beijing, China.

Xu Ma, Xiaoli Zeng, Hui Yuan

Abstract read
In one paragraph

Article in Women's health reports (New Rochelle, N.Y.), 2024. 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
–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

0 citing papers in PubMed.

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

3 authors.

Xu MaClinical Laboratory, Beijing Anzhen Hospital Affiliated of Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, P.R. China.
Xiaoli ZengClinical Laboratory, Beijing Anzhen Hospital Affiliated of Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, P.R. China.
Hui YuanClinical Laboratory, Beijing Anzhen Hospital Affiliated of Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cervical cancer is one of the most common gynecological malignancies worldwide. The incidence of cervical cancer ranks second for female malignancies in China. However, human papillomavirus (HPV) prevalence and genotype replacement for a long time in Beijing were not yet evaluated. Methods: Women patients who visited clinical departments, especially the gynecology department, were included in this study from 2014 to 2020. They suffered from different kinds of cervical abnormalities even cervical cancer. Thirteen types of HPV were detected in cervical samples by using multiple fluorescence polymerase chain reactions. All patients were divided into four groups according to age (15-30, 31-45, 46-60, and >60 years old). Results: The study included data from four certain years (2014, 2016, 2018, and 2020). Overall HPV prevalence was 18.0%, 16.7%, 21.9%, and 19.1%, respectively. Of the 13 genotypes, the top one infection type was HPV52, followed by HPV58 and HPV16 or HPV16 and HPV58 in different years. HPV56 prevalence raised from 2018, which replaced HPV39 into the top five list. Only HPV prevalence of 46-60 years age group declined, mainly resulting from the reduced prevalence of HPV39 and HPV58 ( Conclusion: The prevalence of two HPV genotypes (HPV39 and HPV58) and dual-infection HPV39/68 showed a declining trend, especially in the 46-60 years age group. The trends need to be observed continuously.

Indexed as

genotypehuman papillomavirusprevalencereplacementwomen

Identifiers

PMID39035144
PMCPMC11257103

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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.