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Record W4386548165 · doi:10.2196/47379

Human Papillomavirus (HPV) Infections Among Participants Undergoing Chlamydia trachomatis Testing in Reunion Island (RUN-SurV-HPV Study): Protocol for a Prevalence Study

2023· article· en· W4386548165 on OpenAlexvenueno aff
M.-H. Gandelin, Phuong Lien Tran, Emmanuel Chirpaz, Marie‐Christine Jaffar‐Bandjee, Nicolas Traversier, Dorothy A. Machalek, A. Bertolotti

Bibliographic record

VenueJMIR Research Protocols · 2023
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsnot available
FundersSociété Française de Dermatologie et de Pathologie Sexuellement Transmissible
KeywordsChlamydia trachomatisMedicineHuman papillomavirusChlamydiaProtocol (science)VirologyImmunologyInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Infection by human papillomavirus (HPV) induces various cancers, mainly cervical cancer but also anal and pharyngeal cancers. Reunion Island is a French department in the Indian Ocean. Due to the history of its settlement, the island's population has a wide variety of origins, and the population's sociodemographic characteristics differ from those of the French mainland. These characteristics make the island's population an original French population in its own right, particularly in terms of health. Cervical cancer incidence and mortality in Reunion Island are 10.4 per 100,000 and 4.4 per 100,000, respectively, both of which are much higher than those in mainland France. There is also a disparity in the prevalence of different HPV types, with types 33 and 52 being overrepresented and type 18 being underrepresented. However, vaccination and screening coverage in Reunion Island is low. It is important to understand the burden of infection and its risk factors in members of the young Reunionese population at risk of HPV infection to promote and evaluate the implementation of future vaccination and screening programs on a larger scale. OBJECTIVE: The RUN-SurV-HPV study will have the following four objectives: (1) to describe the prevalence of HPV genotypes in a population at risk of sexually transmitted infections in Reunion Island; (2) to describe the prevalence of HPV genotypes by anatomical site, gender, and sexuality; (3) to describe the correlates and risk factors for HPV detection; and (4) to examine HPV genotypes between different anatomical sites. METHODS: Cross-sectional analyses of 1200 routine vaginal, anal, pharyngeal, and urinary samples collected between October 2020 to December 2022 from female and male patients aged 16 to 30 years undergoing Chlamydia trachomatis testing at a sexually transmitted infection (STI) testing center at Reunion Island will be performed. The population included 333 women who all had vaginal and pharyngeal swabs, with 80 of them also having had an anal swab. There are 167 men who have sex with men who have had anal and pharyngeal swabs, and 120 men who have sex with women who have had a urine swab only. Results will be correlated with sociodemographic and clinical data collected routinely during the consultations. HPV detection and genotyping will be performed using the Anyplex II HPV28 detection assay (Seegene). RESULTS: The first polymerase chain reactions should begin in November 2023. The first results should be submitted for publication in 2024. CONCLUSIONS: The study will determine HPV prevalence by age, sex, male sexual preference, human immunodeficiency virus status, and STI co-infection. Collecting data from young patients not usually routinely screened for HPV infection will be a simple and reproducible way of better understanding local specificities, encouraging vaccination campaigns in the short-term, and evaluating their effectiveness in the future. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/47379.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.034
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.046
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0340.018
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0040.003
Science and technology studies0.0050.002
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0460.013

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 head0.553
GPT teacher head0.629
Teacher spread0.076 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreProtocol

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

Citations0
Published2023
Admission routes1
Has abstractyes

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