Evidence map›Paper›PMID 39123121›Full record

ArticleBMC infectious diseases2024

HPV specificity and multiple infections and association with cervical cytology in Chongqing, China: a cross-sectional study.

Qinli Luo, Haiyan Zhang, Xianghua Zeng, Na Han, Zhen Ma, Hanyi Luo

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

6 authors.

Qinli LuoChongqing Cancer Multi-Omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, 181 Hanyu Road, Shapingba District, Chongqing, 400030, China. m13668488467@163.com.
Haiyan ZhangChongqing Cancer Multi-Omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, 181 Hanyu Road, Shapingba District, Chongqing, 400030, China.
Xianghua ZengChongqing Cancer Multi-Omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, 181 Hanyu Road, Shapingba District, Chongqing, 400030, China.
Na HanChongqing Cancer Multi-Omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, 181 Hanyu Road, Shapingba District, Chongqing, 400030, China.
Zhen MaChongqing Cancer Multi-Omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, 181 Hanyu Road, Shapingba District, Chongqing, 400030, China.
Hanyi LuoChongqing Cancer Multi-Omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, 181 Hanyu Road, Shapingba District, Chongqing, 400030, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is important to assess the relationship between specific HPV genotype or multiple infection and cervical cytology. The protection provided by the HPV vaccine is type-specific, and the epidemiology feature of coinfections needs to be investigated. The aim is to provide baseline information for developing HPV vaccination and management of HPV-positive populations in the region.

methodsA total of 3649 HPV-positive women were collected from 25,572 women who underwent 15 HR-HPV genotypes and ThinPrep cytologic test (TCT) results. Logistic regression was used to determine the correlation between the risk of cytology abnormalities and specific HPV infection. We calculated odds ratios (ORs) to assess coinfection patterns for the common two-type HPV infections. chi-squared test was used to estimate the relationship between single or multiple HPV (divided into species groups) infection and cytology results.

resultsThe results showed there was a positive correlation between HPV16 (OR = 4.742; 95% CI 3.063-7.342) and HPV33 (OR = 4.361; 95% CI 2.307-8.243) infection and HSIL positive. There was a positive correlation between HPV66 (OR = 2.445; 95% CI 1.579-3.787), HPV51 (OR = 1.651; 95% CI 1.086-2.510) and HPV58(OR = 1.661; 95% CI 1.166-2.366) infection and LSIL. Multiple HPV infections with α9 species (OR = 1.995; 95% CI 1.101-3.616) were associated with a higher risk of high-grade intraepithelial lesions (HSIL) compared with single HPV infection. There were positive correlations between HPV66 and HPV56 (α6) (OR = 3.321; 95% CI 2.329-4.735) and HPV39 and HPV68 (α7). (OR = 1.677; 95% CI 1.127-2.495). There were negative correlations between HPV52, 58, 16 and the other HPV gene subtypes.

conclusionHPV33 may be equally managed with HPV16. The management of multiple infections with α9 may be strengthened. The 9-valent vaccine may provide better protection for the population in Chongqing currently. The development of future vaccines against HPV51 and HPV66 may be considered in this region.

Indexed as

Cervix UteriCoinfectionPapillomaviridaePapillomavirus InfectionsAdolescentAdultAgedChinaCross-Sectional StudiesFemaleGenotypeHumansMiddle AgedUterine Cervical DysplasiaUterine Cervical NeoplasmsVaginal SmearsHigh-risk HPVMultiple infectionsTCTVaccine

Identifiers

PMID39123121
PMCPMC11313099

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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.