Evidence map›Paper›PMID 39355783›Full record

ArticleOncology letters2024

Association of human papillomavirus 16 and 18 with ovarian cancer risk: Insights from a meta‑analysis.

Tan Minh Le, Hong Duc Thi Nguyen, Junghwan Cho, Nora Jee-Young Park, Hyung Soo Han, Gun Oh Chong, Incheol Seo

Abstract read
In one paragraph

Article in Oncology letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Tan Minh LeDepartment of Biomedical Science, Graduate School, Kyungpook National University, Daegu 41944, Republic of Korea.
Hong Duc Thi NguyenDepartment of Biomedical Science, Graduate School, Kyungpook National University, Daegu 41944, Republic of Korea.
Junghwan ChoClinical Omics Institute, Kyungpook National University, Daegu 41405, Republic of Korea.
Nora Jee-Young ParkClinical Omics Institute, Kyungpook National University, Daegu 41405, Republic of Korea.
Hyung Soo HanDepartment of Biomedical Science, Graduate School, Kyungpook National University, Daegu 41944, Republic of Korea.
Gun Oh ChongClinical Omics Institute, Kyungpook National University, Daegu 41405, Republic of Korea.
Incheol SeoDepartment of Immunology, School of Medicine, Kyungpook National University, Daegu 41944, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer (OC) presents a global health challenge, with well-documented genetic aspects. However, to the best of our knowledge, the role of human papillomavirus (HPV) types 16 and 18 in OC remains unclear. The present meta-analysis assessed the prevalence of HPV in OC across 43 studies and included a comparative meta-analysis of 19 case-control studies to determine the association of HPV with OC risk. Subgroup analyses were performed based on geographic regions and histopathological types to explore heterogeneity, and publication bias was evaluated using funnel plots and statistical tests of asymmetry. The pooled prevalence of HPV was found to be 10% (95% CI, 5-18) and 7% (95% CI, 3-15) specifically for HPV 16/18. Case-control studies indicated an odds ratio (OR) of 4.92 (95% CI, 1.96-12.53) for HPV 16/18, with higher pooled prevalence rates of 17% for all HPV genotypes and 13% for HPV 16/18. Notably, Asian countries exhibited the highest HPV prevalence and OR in OC. These findings support the involvement of HPV, particularly HPV 16 and 18, in increasing the risk of OC, emphasizing the need for further research to confirm these associations and explore potential mechanisms.

Indexed as

HPV 16HPV 18meta-analysisovarian neoplasms

Identifiers

PMID39355783
PMCPMC11443309

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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.