Evidence map›Paper›PMID 41900315›Full record

ArticleMicroorganisms2026

The Relationship Between Body Mass Index and Cervical High-Risk HPV Positivity in Women: A Single-Center Study.

Cemal Çiçek, Mehmet Alican Sapmaz, Ayfer Bakır, Elif Tuğçe Güner, Murat Aral

Abstract read
In one paragraph

Article in Microorganisms, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Cemal ÇiçekDepartment of Medical Microbiology, University of Health Science Ankara Etlik City Hospital, 06170 Ankara, Türkiye.ORCID 0000-0002-8458-8504
Mehmet Alican SapmazDepartment of Obstetrics and Gynecology, University of Health Science Ankara Etlik City Hospital, 06170 Ankara, Türkiye.ORCID 0000-0003-3812-3455
Ayfer BakırDepartment of Medical Microbiology, University of Health Science Ankara Etlik City Hospital, 06170 Ankara, Türkiye.ORCID 0000-0002-9006-5267
Elif Tuğçe GünerDepartment of Medical Microbiology, University of Health Science Ankara Etlik City Hospital, 06170 Ankara, Türkiye.ORCID 0000-0002-8832-2201
Murat AralDepartment of Medical Microbiology, University of Health Science Ankara Etlik City Hospital, 06170 Ankara, Türkiye.ORCID 0000-0002-3576-4380

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman papillomavirus (HPV) is the primary etiological agent of cervical cancer. Although obesity has been proposed as a factor influencing HPV acquisition and disease course through immune and metabolic mechanisms, its role remains controversial. This study aimed to evaluate the association between body mass index (BMI) and high-risk (HR)-HPV infection, including genotype distribution, infection type, and cytological findings.

methodsThis cross-sectional study included women aged 21 years and older who underwent cervical sampling between August and November 2025. Participants were classified as non-obese (BMI <30 kg/m

resultsAmong 518 women, the overall HR-HPV positivity rate was 13.5%. No significant difference in HR-HPV positivity was observed between obese (11.6%) and non-obese (14.2%) women (OR = 0.79; 95% CI: 0.44-1.44;

conclusionsBMI was not independently associated with HR-HPV infection or related clinical and cytological features. These findings suggest that HPV infection is primarily influenced by viral characteristics and host immune response, while BMI appears to play a limited role. Further multicenter prospective studies are needed to clarify the impact of obesity on HPV infection.

Indexed as

body mass indexcytologygenotypeHuman papillomavirusobesityPCR

Identifiers

PMID41900315
PMCPMC13028971

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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.