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Record W2091701406 · doi:10.1002/cncr.20656

Results of the implementation of liquid-based cytology-SurePath in the Ontario screening program

2004· article· en· W2091701406 on OpenAlexaffabout
Terence J. Colgan, C. Meg McLachlin, Michelle Cotterchio, Robbi Howlett, Allan M. Seidenfeld

Bibliographic record

VenueCancer · 2004
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsUniversity of TorontoCancer Care OntarioWestern UniversityMount Sinai Hospital
Fundersnot available
KeywordsMedicineLiquid-based cytologyCancer detectionCytologyGynecologyInternal medicineCervical cancer screeningCancerCervical cancerIntraepithelial neoplasiaSquamous carcinomaCarcinomaGastroenterologyPathologyProstate cancer

Abstract

fetched live from OpenAlex

BACKGROUND: The objective of the current study was to evaluate the adequacy and detection rates of SurePath after its implementation in Ontario. METHODS: The detection and adequacy rates of the SurePath liquid-based cytology system (SP-LBC) were calculated for manually reviewed slides of the year 2002. The adequacy and detection rates from this study group were compared with a historical conventional smear (CS) group from the same laboratories during the same period of the previous year. RESULTS: The SP-LBC study group consisted of 352,680 specimens with cytodiagnoses and the CS group included 378,990 specimens. The unsatisfactory rate for SP-LBC (0.24%) was less than that of the CS group (0.58%). The detection rate of atypical squamous cells (ASC+) by the SP-LBC group (4.69%) was greater than that of the CS group (3.81%), as was the detection rate of low-grade squamous intraepithelial lesions (LSIL+; 2.13% vs. 1.50% in the CS group). There was only a trend toward increased detection of high-grade squamous intraepithelial lesions (HSIL+) in the SP-LBC group (0.34%) relative to the CS group (0.31%), because the detection rate for carcinoma by SP-LBC declined. CONCLUSIONS: The implementation of SP-LBC has been followed by better specimen adequacy and detection rates for ASC+, LSIL+, and a trend of increased detection of HSIL+ relative to CS practice. To determine sensitivity rates, a histopathologic database for cervical carcinoma and precancer needs to be established.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.351
Threshold uncertainty score0.903

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.057
GPT teacher head0.418
Teacher spread0.362 · 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

Citations32
Published2004
Admission routes2
Has abstractyes

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