Evidence map›Paper›PMID 41150391›Full record

ReviewVaccines2025

Multilevel Interventions Aimed at Improving HPV Immunization Coverage: A Systematic Review and Meta-Analysis.

Irena Ilic, Vladimir Jakovljevic, Mario Gajdacs, Edit Paulik, Milena Ilic

Abstract readReview
In one paragraph

Review in Vaccines, 2025. 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

5 authors.

Irena IlicFaculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia.ORCID 0000-0001-5347-3264
Vladimir JakovljevicDepartment of Physiology, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.ORCID 0000-0002-0071-8376
Mario GajdacsDepartment of Public Health, Albert Szent-Györgyi Medical School, University of Szeged, 6720 Szeged, Hungary.ORCID 0000-0003-1270-0365
Edit PaulikDepartment of Public Health, Albert Szent-Györgyi Medical School, University of Szeged, 6720 Szeged, Hungary.ORCID 0000-0002-3446-4327
Milena IlicDepartment of Epidemiology, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.ORCID 0000-0003-3229-4990

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesHuman papillomavirus (HPV)-attributable cancers are a major public health problem worldwide. However, HPV vaccination rates vary significantly and are often not optimal. This study aimed to assess the effects of multilevel interventions on improving HPV vaccination.

methodsA systematic literature review and a meta-analysis were carried out, taking into account randomized controlled trials. Outcomes of interest were HPV vaccination initiation and completion. A random-effect meta-analysis using the generic inverse variance method was carried out, with a risk ratio (RR) with a 95% confidence interval (CI) as the pooled effect estimate.

resultsA literature search identified 15 relevant studies, all conducted in high-income countries. Multilevel interventions significantly improved HPV vaccination coverage and initiation (RR = 1.26, 95% CI 1.16-1.38,

conclusionsBased on evidence from high-income settings, multilevel interventions are effective in improving HPV vaccination rates. Future studies should expand the focus to areas with limited resources too and aim to provide more detailed data, avoid registering outcomes via self-report, and create sustainable strategies that can persist beyond a study's duration and possibly become part of policies for improving HPV vaccination coverage.

Indexed as

HPV vaccination completionHPV vaccination initiationHPV vaccinemeta-analysismultilevel intervention

Identifiers

PMID41150391
PMCPMC12567594

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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.