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Record W2984284967 · doi:10.1097/lgt.0000000000000494

Clinical Utility of Human Papillomavirus Genotyping in Cervical Cancer Screening: A Systematic Review

2019· review· en· W2984284967 on OpenAlexaboutno aff
Jesper Bonde, Maria Teresa Sandri, Devin S. Gary, Jeffrey C Andrews

Bibliographic record

VenueJournal of Lower Genital Tract Disease · 2019
Typereview
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGenotypingColposcopyCervical cancerCervical intraepithelial neoplasiaSquamous intraepithelial lesionOncologySystematic reviewObservational studyInternal medicineGynecologyMEDLINEMeta-analysisCancerGenotype

Abstract

fetched live from OpenAlex

OBJECTIVE: Thirteen human papillomavirus (HPV) genotypes are associated with the highest risk of cervical disease/cancer; however, the risk of disease progression and cancer is genotype dependent. The objective of this systematic review was to examine evidence for high-grade cervical intraepithelial neoplasia (≥CIN 3) risk discrimination using HPV genotyping. MATERIALS AND METHODS: A systematic review of English and non-English articles through MEDLINE, Cochrane, clinicaltrials.gov, and abstracts presented at relevant professional society conferences were searched from 2000 to 2019. Search terms included: cervical cancer screening, HPV genotyping, CIN, HPV persistence, humans, and colposcopy; prospective, controlled trials, observational studies, and retrospective studies of residual specimens; evidence included HPV genotyping (beyond genotypes 16/18/45) results. Data were obtained independently by authors using predefined fields. Risk of bias was evaluated with a modified Newcastle-Ottawa Scale. The Grading of Recommendations, Assessment, Development and Evaluation methodology facilitated overall quality of evidence evaluation for risk estimation. The study protocol was registered with the PROSPERO International Prospective Register of Systematic Reviews (CRD42018091093). The primary outcome was CIN 3 or worse risk both at baseline and at different follow-up periods. RESULTS: Of 236 identified sources, 60 full texts were retrieved and 16 articles/sources were included. Risk of bias was deemed low; the overall quality of evidence for CIN 3 or worse risk with negative for intraepithelial lesions or malignancies or low-grade squamous intraepithelial cytology was assessed as moderate; that with atypical squamous cells-undetermined significance and "all cytology" was assessed as high. Clinical and methodological heterogeneity precluded meta-analysis. Human papillomavirus genotyping discriminated risk of CIN 3 or worse to a clinically significant degree, regardless of cytology result. CONCLUSIONS: The evidence supports a clinical utility for HPV genotyping in risk discrimination during cervical cancer screening.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.163
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0080.004
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.217
GPT teacher head0.503
Teacher spread0.286 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations154
Published2019
Admission routes1
Has abstractyes

Explore more

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