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Record W2968001861 · doi:10.1097/aog.0000000000003409

Human Papillomavirus Genotyping Compared With a Qualitative High-Risk Human Papillomavirus Test After Treatment of High-Grade Cervical Intraepithelial Neoplasia

2019· review· en· W2968001861 on OpenAlexaboutno aff
Fabio Bottari, Anna Daniela Iacobone, Rita Passerini, Eleonora Petra Preti, Maria Teresa Sandri, Clementina Cocuzza, Devin S. Gary, Jeffrey C Andrews

Bibliographic record

VenueObstetrics and Gynecology · 2019
Typereview
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCervical intraepithelial neoplasiaHuman papillomavirusGenotypingKoilocytePapillomaviridaeVirologyOncologyGynecologyCervical cancerInternal medicineGenotypeGeneticsGeneCancer

Abstract

fetched live from OpenAlex

OBJECTIVE: To systematically examine human papillomavirus (HPV) genotyping compared with qualitative high-risk HPV result during follow-up after treatment of high-grade cervical intraepithelial neoplasia (CIN), for risk estimation of posttreatment high-grade CIN. DATA SOURCES: MEDLINE, Cochrane, and ClinicalTrials.gov were searched from January 2000 to April 2019 for prospective studies of women and retrospective studies of residual specimens from women, tested using HPV assays with genotype reporting. METHODS OF STUDY SELECTION: The primary outcome was posttreatment high-grade CIN after treatment of high-grade CIN. Risk of bias (individual study quality) was evaluated with a modified Newcastle-Ottawa Scale. Overall quality of evidence for the risk estimate outcomes was evaluated using modified GRADE methodology for observational diagnostic studies. TABULATION, INTEGRATION, AND RESULTS: Of the 233 identified abstracts, 33 full-text articles were retrieved, and seven studies were included in the synthesis. The risk of bias was deemed to be low. Either a positive qualitative HPV test result or a positive test result for the same genotype that was present pretreatment have a sensitivity for predicting posttreatment high-grade CIN that approaches 100%. However, the positive predictive value (PPV) for the same genotype result pretreatment and posttreatment (median 44.4%) is about double the PPV (median 22.2%) for qualitative HPV results. The PPV of a new HPV infection posttreatment approximates zero. Human papillomavirus genotyping discriminated risk of posttreatment high-grade CIN to a clinically significant degree for women after treatment procedures for high-grade CIN lesions, when same-genotype persistence was compared with new genotype infection. CONCLUSION: There is moderately high-quality evidence to support the improved clinical utility of HPV genotyping compared with qualitative HPV positivity to follow-up after treatment of high-grade CIN. SYSTEMATIC REVIEW REGISTRATION: PROSPERO: CRD42018091095. FUNDING SOURCE: Becton, Dickinson and Company, BD Life Sciences-Diagnostic Systems.

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)0.014
metaresearch head score (Gemma)0.082
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.082
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.006
Bibliometrics0.0050.006
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.076
GPT teacher head0.390
Teacher spread0.314 · 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
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

Citations24
Published2019
Admission routes1
Has abstractyes

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