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Record W4389107578 · doi:10.4236/ajmb.2024.141001

HPV/HBV or HPV/HCV Co-Infections in Women Treated for Chronic Hepatitis at Hôpital Saint Camille in Ouagadougou, Burkina Faso

2023· article· en· W4389107578 on OpenAlexaff
Estelle Ouédraogo, Théodora Mahoukèdè Zohoncon, Bagora Bayala, Prosper Bado, Rose P. Clémence Da, Rogomenoma Alice Ouédraogo, Ina Marie Angèle Traore, Punya Akouélé Kuassi-Kpede, Samiratou Ouédraogo, Essi Etonam Dovo, Lassina Traoré, Albert Théophane Yonli, Florencia Wendkuuni Djigma, Olga Mélanie Lompo, Jacques Simporè

Bibliographic record

VenueAmerican Journal of Molecular Biology · 2023
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsSt. Thomas University
Fundersnot available
KeywordsGenotypingMedicineGenotypeCervical cancerSAINTHuman immunodeficiency virus (HIV)Chronic hepatitisInternal medicineVirologyCancerVirusBiologyGene

Abstract

fetched live from OpenAlex

Introduction: Cervical cancer is a public health concern and is mainly caused by Human papillomaviruses (HPV). In many parts of the world, studies are being carried out to understand the different genotypes to better tackle this issue. We conducted a study to determine the prevalence of HPV genotypes in women with chronic hepatitis B or C infection, co-infected or not with HIV, treated at the Hôpital Saint Camille in Ouagadougou (Burkina Faso). Methods: This study was conducted from April to July 2023, including 100 women in gastroenterology at Hôpital Saint Camille. A questionnaire on their socio-demographic and life style was administrated; and endocervical samples were collected using sterile swabs and then sent to Centre of Biomolecular Research Pietro Annigoni (CERBA). HPV molecular detection and genotyping were performed by PCR and hybridization using the HPV Direct Flow Chips kit. Data were analysis using chi square test or Fischer’s exact test with a significance threshold for p ®4).

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.363
Teacher spread0.340 · 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
GenreEmpirical

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

Citations1
Published2023
Admission routes1
Has abstractyes

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Same venueAmerican Journal of Molecular BiologySame topicCervical Cancer and HPV ResearchFrench-language works237,207