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Record W2063623386 · doi:10.1086/379198

Molecular Analysis of Human Papillomavirus Type 52 Isolates Detected in the Genital Tract of Human Immunodeficiency Virus–Seropositive and –Seronegative Women

2003· article· en· W2063623386 on OpenAlexaff
Joséphine Aho, Catherine Hankins, Cécile Tremblay, Franz Lang, Pierre Forest, Karina Pourreaux, Fabrice Douglas Rouah, François Coutlée

Bibliographic record

VenueThe Journal of Infectious Diseases · 2003
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsUniversité de MontréalMcGill UniversityInstitut National de Santé Publique du Québec
FundersStyrelsen för Internationellt Utvecklingssamarbete
KeywordsNonsynonymous substitutionVirologyBiologyOdds ratioVirusSex organGenotypeHPV infectionCervical cancerImmunologyGeneticsGeneMedicineCancerGenomeInternal medicine

Abstract

fetched live from OpenAlex

Human papillomavirus (HPV) type 52 DNA was detected in cervicovaginal lavage samples from 91 (12.4%) of 732 human immunodeficiency virus (HIV)-seropositive women and 23 (7.1%) of 323 HIV-seronegative women (P=.0004). HIV infection was an independent predictor for HPV-52 infection when controlling for age and sexual activity (odds ratio, 2.21; 95% confidence interval, 1.30-3.75: P=.003). We describe the genomic polymorphism of 114 HPV-52 isolates. Long control region (LCR) mutations defined 27 HPV-52 variants. Nearly 32% of HPV-52 isolates carried deletions in the LCR. E6 and E7 mutations defined 17 and 9 variants, respectively. Five nonsynonymous E6 mutations were clustered from amino acids 92 to 94, near the putative p53 binding area. White women were more frequently infected by the prototype strain than were women of African descent (P=.0001). The genetic diversity of HPV-52 should facilitate the investigation of the role of genomic variations in cervical disease.

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)0.002
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.317
Teacher spread0.304 · 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

Citations24
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Infectious DiseasesSame topicCervical Cancer and HPV ResearchFrench-language works237,207