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Record W4412201161 · doi:10.1080/20477724.2025.2529822

Prevalence of oral human papillomavirus infection in African countries: a systematic review and meta-analysis

2025· review· en· W4412201161 on OpenAlexaboutno aff
Giorgia Della Polla, Grazia Miraglia del Giudice, Mario Postiglione, Italo Francesco Angelillo

Bibliographic record

VenuePathogens and Global Health · 2025
Typereview
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-analysisHuman papillomavirusMedicineSystematic reviewVirologyMEDLINEBiologyPathologyInternal medicine

Abstract

fetched live from OpenAlex

This meta-analysis aimed to provide pooled overall prevalence estimates of oral human papillomavirus (HPV) infection in Africa. A literature search for cross-sectional studies was conducted until January 2025. The Newcastle-Ottawa Scale assessed the methodological quality. Random-effects model estimated the pooled prevalence of oral HPV infection. Sub-group analyses were conducted using study characteristics as covariates. Thirty-three studies involving 4.607 participants from 9 countries were included. Prevalence of oral HPV infection ranged between 0% to 95.1%, with a pooled overall estimate of 15.8%. The studies exhibited considerable heterogeneity (I2 = 99.3%). Subgroup analyses revealed the highest prevalence among participants with head and neck cancer (19.9%), from sub-Saharan area (19.2%), female (17.3%), moderate-low-quality studies (16.7%), and in HIV-positive (5.8%). High-quality studies with an accurate collection of the risk factors are needed for tailoring programs and health-care policies to prevent and control oral HPV infection and associated diseases.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.889
Threshold uncertainty score0.782

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0080.001
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.108
GPT teacher head0.480
Teacher spread0.371 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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