Evidence map›Paper›PMID 40938816›Full record

SynthesisPloS one2025

A meta-analysis of the prevalence, genotype distribution and risk factors for human papillomavirus infection in Nepal.

Prayash Paudel, Asutosh Sah

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2025. 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

2 authors.

Prayash PaudelBachelor of Medicine and Bachelor of Surgery, Maharajgunj Medical Campus, Tribhuvan University Teaching Hospital, Institute of Medicine, Nepal, Bagmati Province, Nepal.ORCID 0009-0008-1566-3233
Asutosh SahBachelor of Medicine and Bachelor of Surgery, Maharajgunj Medical Campus, Tribhuvan University Teaching Hospital, Institute of Medicine, Nepal, Bagmati Province, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This systematic review and meta-analysis estimated the prevalence, genotype distribution, and risk factors for human papillomavirus infection among Nepalese women. A total of 8 cross-sectional studies with 6,082 participants were included in this review. For this review, the eligibility criteria included studies reporting HPV prevalence or genotype-specific rates among Nepalese women; thus, database sources were searched up to December 2024. The quality of the studies was assessed, and pooled estimates were computed via random effects models. The pooled prevalence of HPV infection among Nepalese women was 8.31%, with a genotype-specific prevalence of 2.62% for HPV-16 and 1.25% for HPV-18. HPV infection was significantly associated with those whose husbands had multiple sexual exposures. Other factors, including smoking status, educational status, and the use of contraceptives, were not significantly associated. Most analyses showed moderate to high heterogeneity. This review highlights the moderate burden of HPV infection in Nepal; hence, targeted public health intervention through vaccination and screening programs is recommended. Limitations include heterogeneity of studies and an inability to draw causal interference because all the data were cross-sectional. The findings highlight the need for region-specific strategies to combat HPV-related diseases in Nepal and underscore the importance of future research to address existing knowledge gaps. This review is registered in PROSPERO with registration number CRD42025632655.

Indexed as

PapillomaviridaePapillomavirus InfectionsCross-Sectional StudiesFemaleGenotypeHumansNepalPrevalenceRisk Factors

Identifiers

PMID40938816
PMCPMC12431021

What OpenQuestion holds

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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 OpenQuestion graph.