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Record W2403902853 · doi:10.1158/1538-7755.disp15-pr06

Abstract PR06: Racial/ethnic variation in the prevalence of vaccine-preventable human papillomavirus genotypes

2016· article· en· W2403902853 on OpenAlexaffabout
Indu Varier, Jane R. Montealegre, Christina Gutierrez, Laura M. Dillon, Martial Guillaud, Karen A. Storthz, Michele Follen, Andrew G. Sikora, Michael E. Scheurer

Bibliographic record

VenueCancer Epidemiology Biomarkers & Prevention · 2016
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineColposcopyCervical cancerGenotypingDysplasiaGenital wartsGenotypeGynecologyHPV vaccinesObstetricsHuman papillomavirusVaccinationInternal medicineHPV infectionCancerVirology

Abstract

fetched live from OpenAlex

Abstract Introduction: The bi- and quadrivalent human papillomavirus (HPV) vaccines that have been on the market for ≥ 9 years protect against high-risk HPV types 16 and 18, the two HPV genotypes causally associated with ≥ 70% of cervical cancers. The recent nonavalent vaccine, which became commercially available in 2014, additionally protects against high-risk types 31, 33, 45, 52, and 58. The quadri- and nonavalent vaccines also protect against low-risk HPV types 6 and 11, which cause genital warts. The objective of this analysis is to compare the prevalence of vaccine-preventable HPV genotypes among non-Hispanic white, non-Hispanic black, Hispanic, and Asian women and determine the risk of cervical dysplasia (CIN2+) associated with the genotypes covered by each of the vaccines. Methods: Patients in this analysis represent a subset of those participating in a clinical trial to evaluate new optical technologies for the diagnosis of cervical dysplasia. Trial participants were non-pregnant women, age ≥18 years, with a recent abnormal Pap test and were recruited at participating colposcopy clinics in Houston, El Paso, and Vancouver. As part of the parent trial, a subset of participants provided a biopsy and a cervical swab. Histologic diagnosis was based on biopsies and evaluated by a certified pathologist to represent the histology of the most severe biopsy. HPV genotyping was conducted using the Roche Linear Array. Prevalent HPV types were grouped according to their inclusion in each of the vaccines: bivalent (16, 18), quadrivalent (16, 18, 6, 11), and nonavalent (16, 18, 31, 33, 45, 52, 58, 6, 11). Women were considered to be potentially protected by a particular vaccine if all or some (in the case of multiple infections) type-specific infections were covered by the vaccine. Results for the bi- and quadrivalent vaccines were grouped given the small number of women additionally protected by the quadri- versus bivalent vaccine. Results: The sample for this analysis (n= 419) is comprised of 206 non-Hispanic white, 39 non-Hispanic Black, 142 Hispanic, and 32 Asian women. The prevalence of HPV genotypes covered by the bi- and quadrivalent vaccines was significantly greater among non-Hispanic white (38.3%) and Asian women (37.5%) compared to non-Hispanic black (15.4%) and Hispanic women (19.7%). The increase in the proportion of women potentially protected by the nonavalent vaccine versus the bi-/quadrivalent vaccine was highest among non-Hispanic blacks (33.3% increase) followed by Hispanics (18.3% increase). However, the prevalence of HPV genotypes not covered by any vaccine was also highest among these racial/ethnic groups. Specifically, 42.3% and 35.9% of Hispanic and non-Hispanic black women, respectively, had ≥ 1 genotype not covered by any vaccine, compared to 24.3% and 15.6% among non-Hispanic white and Asian women, respectively. Non-vaccine HPV types were primarily high-risk (68%). Among women with a CIN2+ diagnosis, 37.3% had genotypes included in the bi/quadrivalent vaccine and an additional 46.7% had genotypes included in the nonavalent (but not the bi/quadrivalent) vaccine. However, 16.0% of CIN2+ diagnoses occurred among women with HPV genotypes not covered by any vaccine. Conclusions: Our data suggest racial/ethnic differences in the proportion of women protected by the new nonavalent HPV vaccine. In particular, non-Hispanic black and Hispanic women had the greatest prevalence of HPV types covered by the nonavalent but not the bi-/quadrivalent vaccines. Nonetheless, a large proportion of women from these racial/ethnic groups were infected with genotypes not covered by any vaccine. While HPV 16 and 18 are known to cause most cervical cancers, non-vaccine genotypes were associated with 16% of CIN2+ histology, a diagnosis often requiring significant therapeutic intervention. This abstract is also presented as Poster C38. Citation Format: Indu Varier, Jane R. Montealegre, Christina M. Gutierrez, Laura M. Dillon, Martial Guillaud, Karen A. Storthz, Michele Follen, Andrew G. Sikora, Michael E. Scheurer. Racial/ethnic variation in the prevalence of vaccine-preventable human papillomavirus genotypes. [abstract]. In: Proceedings of the Eighth AACR Conference on The Science of Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; Nov 13-16, 2015; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2016;25(3 Suppl):Abstract nr PR06.

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)0.001
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 score0.009
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0090.002

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 head0.120
GPT teacher head0.451
Teacher spread0.331 · 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".

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Citations0
Published2016
Admission routes2
Has abstractyes

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