Evidence map›Paper›PMID 42052094›Full record

ArticleFrontiers in cellular and infection microbiology2026

Development of a predictive model integrating urogenital pathogens and inflammatory markers for human papillomavirus infection.

Jingxi Zhang, Biyao Jiang, Juan Tao, Mengyu Chen, Songshu Xiao, Yafang Gong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. 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

6 authors.

Jingxi ZhangDepartment of Obstetrics and Gynecology, Xiangya Third Hospital, Central South University, Changsha, Hunan, China.
Biyao JiangDepartment of Obstetrics and Gynecology, Xiangya Third Hospital, Central South University, Changsha, Hunan, China.
Juan TaoDepartment of Obstetrics and Gynecology, Xiangya Third Hospital, Central South University, Changsha, Hunan, China.
Mengyu ChenDepartment of Obstetrics and Gynecology, Xiangya Third Hospital, Central South University, Changsha, Hunan, China.
Songshu XiaoDepartment of Obstetrics and Gynecology, Xiangya Third Hospital, Central South University, Changsha, Hunan, China.
Yafang GongDepartment of Gynecology Laboratory, Xiangya Third Hospital, Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The objective of the present study was to evaluate the relationship between common urogenital pathogens and human papillomavirus (HPV) infection and to assess the impact of coinfections on vaginal microecology. Methods: This hospital-based cross-sectional study included 330 reproductive-aged women. Multiplex polymerase chain reaction (PCR) was applied to detect Results: The overall HPV positivity rate was 46.4%. Univariate analysis revealed associations of HPV infection with CT, NG, UU, UP, MH, elevated leukocyte count, and vaginitis (all Conclusions: CT and UU infections are strongly associated with HPV infection. Elevated leukocyte count and abnormal vaginal discharge serve as inflammatory indicators that increase prediction accuracy. The proposed model, which integrates pathogen detection and host inflammatory status, performs well in identifying women at high risk of HPV, thereby supporting early screening and cervical cancer prevention.

Indexed as

BiomarkersHuman Papillomavirus VirusesPapillomavirus InfectionsAdolescentAdultChlamydia trachomatisCoinfectionCross-Sectional StudiesFemaleGenotypeHumansMultiplex Polymerase Chain ReactionMycoplasma hominisPapillomaviridaeRisk FactorsROC CurveBiomarkersChlamydia trachomatis (CT)co-infectionHuman papillomavirus (HPV)logistic regressionMycoplasma hominis (MH)Ureaplasma parvum (UP)Ureaplasma urealyticum (UU)vaginal microecology

Identifiers

PMID42052094
PMCPMC13111468

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.