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Record W2171902622 · doi:10.1097/lgt.0b013e3181585b9b

Cervical Cytology Specimen Adequacy

2008· review· en· W2171902622 on OpenAlexaff
Diane D. Davey, J. Thomas Cox, R. Marshall Austin, George Birdsong, Terence J. Colgan, Lydia Howell, Mujtaba Husain, Teresa M. Darragh

Bibliographic record

VenueJournal of Lower Genital Tract Disease · 2008
Typereview
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsMedicineColposcopyCytologyGynecologyTest (biology)Pap testCervical screeningMedical physicsObstetricsCervical cancerCervical cancer screeningPathologyInternal medicineCancer

Abstract

fetched live from OpenAlex

OBJECTIVE: To provide updated management guidelines according to cervical cytology specimen adequacy and techniques to optimize adequacy based on literature review and expert opinion. MATERIALS AND METHODS: Selected members of the American Society for Colposcopy and Cervical Pathology committee and invited experts conducted a literature review and discussed appropriate management and areas for future research emphasis. RESULTS: The guidelines recommend a repeat Pap test in a short interval of 2 to 4 months for most women when the cytology result is unsatisfactory. The preferred follow-up for women with a negative cytology result lacking an endocervical/transformation zone component or showing other quality indicators is a repeat Pap test in 12 months. Indications for an early repeat Pap test in 6 months are provided, and the influence of human papillomavirus testing results on management is discussed. Techniques for optimizing specimen adequacy are provided in detail. CONCLUSION: The specimen adequacy management guidelines will help promote uniform and optimal follow-up of patients receiving cervical cytology screening. The topics for future research emphasis will be helpful in promoting studies in needed areas.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.972
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.095
GPT teacher head0.414
Teacher spread0.319 · 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 designNot applicable
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

Citations47
Published2008
Admission routes1
Has abstractyes

Explore more

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