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Record W3201368381 · doi:10.1016/j.gore.2021.100860

Comparative study on the adequacy of cervical smears using wooden Ayre’s spatula, VS Papcone® sampling device

2021· article· en· W3201368381 on OpenAlexaff
Chukwunonso Isaiah Enechukwu, J. I. B. Adinma, Joseph Ifeanyichukwu Ikechebelu, Igwebuike Victor Onyiaorah, Daniel Nnaemeka Onwusulu, Michael Emeka Chiemeka, George Uchenna Eleje, Joseph Odirichukwu Ugboaja, Ifeanyichukwu U. Ezebialu, Onochie Bruno Ezenwa, Betrand Obi Nwosu, Nkemakolam Obinna Eke, Chukwudi Richmond Osakwe

Bibliographic record

VenueGynecologic Oncology Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsNipawin Bible College
Fundersnot available
KeywordsMedicineSampling (signal processing)DentistryEngineeringTelecommunications

Abstract

fetched live from OpenAlex

This is a comparative study on the adequacy of cervical smears obtained using the Papcone® sampling device or wooden Ayre's spatula conducted from two tertiary health facilities -- Nnamdi Azikiwe University Teaching Hospital Nnewi and Chukwuemeka Odumegwu Ojukwu University Teaching Hospital Awka, in Anambra State, Nigeria. Slides from smears obtained using both devices were read by a cytopathologist blinded for the study. The primary outcome was the proportion of smears with an adequate endocervical component. Significantly higher adequate cervical smears were obtained in 177/192 (92.2%) women using the Papcone® sampling device, compared to 152/192 (79.2%) using wooden Ayre's spatula (p < 0.001). Kappa analysis showed moderate inter-rater agreement between the two devices. We recommend the use of the Papcone device when it is available, as the adequacy of cervical smears obtained with the Papcone® was better than that obtained using wooden Ayre's spatula.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.263
GPT teacher head0.467
Teacher spread0.204 · 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 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

Citations1
Published2021
Admission routes1
Has abstractyes

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