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Performance of AmpFire HPV assay on neck cervical lymph node aspirate and oropharyngeal samples

2020· article· en· W3007401727 on OpenAlexaff
Dan Jang, Anika Shah, Manuel Arias, Sam Ratnam, Marek Smieja, Xin Chen, Youxiang Wang, David J. Speicher, Max Chernesky

Bibliographic record

VenueJournal of Virological Methods · 2020
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsLoop-mediated isothermal amplificationLymph nodeBiologySalivaCervical lymph nodesHuman papillomavirusPathologyMedicineInternal medicineOncologyCancerMetastasisDNA

Abstract

fetched live from OpenAlex

Early determination of high-risk human papillomaviruses causing oropharyngeal squamous cell carcinomas (OPSCC) may influence treatment. The objectives were to evaluate the performance of a new rapid isothermal nucleic acid amplification point of care HPV test (AmpFire HPV) on fine needle neck aspirates (FNA) of cervical lymph nodes and oropharyngeal swabs and saliva (OPS) which had been previously tested by the cobas HPV assay. The comparison was performed on 56 FNA and 81 OPS. The two assays showed strong agreement (94.6 %, K = 0.88) on FNA and fair agreement (65.4 %, K = 0.34) on OPS. AmpFire HPV performed on FNA demonstrated a sensitivity of 76.7 % and specificity of 81.8 % for the prediction of p16 antigens in OPSCC with results available in 1.5 h.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.687
Threshold uncertainty score0.409

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.109
GPT teacher head0.386
Teacher spread0.277 · 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.

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

Citations15
Published2020
Admission routes1
Has abstractno

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