Evidence map›Paper›PMID 41835845›Full record

ArticleInternational journal of women's health2026

No Genetically Predicted Association Between Human Papillomavirus and COVID-19: A Mendelian Randomization Analysis in European Ancestry Population.

Sha-Sha Tao, Man Ge, Yi-Fan Cai, Shu-Zhen Xu, Yi-Sheng He, Yi-Qing Xu, Tian He, Xiao-Fan Dai, Xiao Hu, Peng Wang and 1 more

Abstract read
In one paragraph

Article in International journal of women's health, 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

11 authors.

Sha-Sha Tao *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, People's Republic of China.
Man Ge *Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, People's Republic of China.
Yi-Fan Cai *Department of Clinical Medicine, Anhui Medical University, Hefei, Anhui, People's Republic of China.
Shu-Zhen XuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, People's Republic of China.
Yi-Sheng HeDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, People's Republic of China.
Yi-Qing XuDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, People's Republic of China.
Tian HeDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, People's Republic of China.
Xiao-Fan DaiDepartment of Public Utilities Management, School of Health Service Management, Anhui Medical University, Hefei, Anhui, People's Republic of China.
Xiao HuTeaching Center for Preventive Medicine, School of Public Health, Anhui Medical University, Hefei, Anhui, People's Republic of China.
Peng WangTeaching Center for Preventive Medicine, School of Public Health, Anhui Medical University, Hefei, Anhui, People's Republic of China.
Hai-Feng PanDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, People's Republic of China.ORCID 0000-0001-8218-5747

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Previous studies reveal that coronavirus disease 2019 (COVID-19) infection accelerates the progression of Human papillomavirus (HPV)-related diseases, but the results remain controversial. We conducted a bidirectional two-sample Mendelian randomization (MR) study to evaluate the causal association between HPV infection and COVID-19 using genome-wide association study (GWAS) summary data from European ancestry populations. Patients and Methods: Genetic summary data of HPV infection and COVID-19 were derived from the public GWAS meta-analysis and the COVID-19 host genetics initiative GWAS, respectively. The causal link between HPV infection and COVID-19 was evaluated by MR analysis with inverse variance weighting (IVW), MR-Egger, and weighted median methods. Additional MR Pleiotropy RESidual Sum and Outlier (MR-PRESSO) and MR-Egger regression methods were used to identify the potential pleiotropy of the instrumental variables (IVs). Bonferroni correction was used to account for the issue of multiple comparisons, leading to a statistically significant Results: There were no significantly causal links of HPV-16 or HPV-18 infection with COVID-19 infection, hospitalized COVID-19, or severe COVID-19 (all Conclusion: This study shows that COVID-19 infection does not affect the risk of HPV-16/18 infection, nor does HPV-16/18 infection increase COVID-19 infection risk. It highlights the need to maintain routine health management and no change to HPV prevention strategies.

Indexed as

causal relationshipCOVID-19genetic associationHPVmendelian randomization

Identifiers

PMID41835845
PMCPMC12983166

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.