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Record W2484399975 · doi:10.1158/1538-7445.am2016-3440

Abstract 3440: Time and regional incidence trends of human papillomavirus-associated oropharyngeal cancer in Ontario, Canada

2016· article· en· W2484399975 on OpenAlexaffabout
Wei Shi, Stephen F. Hall, Katrina Rey‐McIntyre, Rebecca Griffiths, Wei Xu, Jie Su, Jeff Bruce, Brian O’Sullivan, Kenneth W. Yip, Fei‐Fei Liu

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health NetworkQueen's UniversityUniversity of TorontoOntario Institute for Cancer Research
Fundersnot available
KeywordsIncidence (geometry)MedicineHuman papillomavirusCohortCancer registryInternal medicineRetrospective cohort studyCancerImmunohistochemistryOncology

Abstract

fetched live from OpenAlex

Abstract Background: Despite the increasing incidence of human papillomavirus (HPV)-associated oropharyngeal cancer (OPC) in the Western World, there are little data describing the change in HPV incidence within Ontario, Canada. We therefore assessed HPV-positivity in a retrospective study of 612 OPC patient samples. Methods: Diagnostic formalin-fixed and paraffin embedded OPC patient samples belonging to two cohorts were retrieved from institutions across Ontario, Canada over two time periods: 1998-1999 (n = 245) and 2003-2004 (n = 367). In all samples, HPV status was assessed initially using p16 immunohistochemistry (IHC). For p16 negative and equivocal staining samples, HPV in situ hybridization (ISH; using an HPV subtype 16/18 probe) was performed as the final indicator for HPV positivity. HPV-positivity rate was then compared over time and geographic region. Results: Overall, p16-positivity was observed in 52.3% (320 of 612) of the OPC patients. For the p16-negative (n = 246) and p16-equivocal (n = 46) samples, 25.3% (n = 74) were positive by HPV16/18 ISH. The HPV infection incidence for the 1998-1999 cohort was 54.3% (133 of 245 samples; 95% CI: 53.9(47.4-60.2)). The HPV infection incidence increased significantly in the 2003-2004 cohort to 71.1% (261 of 367 samples; 95% CI: 71.4(66.5-76.0)) (p<0.0001). When divided based on geographical region, HPV incidence also increased significantly over time (Northern Ontario by 49%, p = 0.04; Eastern Ontario by 23%, p = 0.009; Southern Ontario by 17%, p = 0.009; Central Ontario by 12%, p = 0.05). There were no significant differences between urban and rural areas over the two cohort periods (urban p = 0.8; rural, p = 0.6). Conclusions: HPV-associated OPC increased in incidence in Ontario, Canada, over a 6-year period from 1998 to 2004, which appeared to be applicable across the entire province, regardless of urban or rural regions. A composite HPV detection method using p16 in combination with HPV ISH identified an additional 25% of HPV-positive OPC cases. Citation Format: Wei Shi, Stephen F. Hall, Katrina Rey-McIntyre, Rebecca Griffiths, Wei Xu, Jie Su, Jeff Bruce, Shaohui Huang, Brian O’Sullivan, Kenneth W Yip, Fei-Fei Liu. Time and regional incidence trends of human papillomavirus-associated oropharyngeal cancer in Ontario, Canada. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3440.

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 score0.026
Threshold uncertainty score0.191

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.090
GPT teacher head0.400
Teacher spread0.310 · 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

Citations0
Published2016
Admission routes2
Has abstractyes

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