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Record W3094536354 · doi:10.14740/jmc3589

Villoglandular Papillary Adenocarcinoma With Cervical Intraepithelial Neoplasia 3 of the Cervix in a Woman With a Misdiagnosis of a Cervical Polyp

2020· article· en· W3094536354 on OpenAlexvenueno aff
Remi Hasegawa-Nakajima, Hisami Kiseki, Shun‐ichi Ikeda

Bibliographic record

VenueJournal of Medical Cases · 2020
Typearticle
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAsymptomaticCervixPolypectomyCervical intraepithelial neoplasiaPapanicolaou stainCervical conizationPathologicalAdenocarcinomaCervical cancerGynecologyRadiologyPathologyInternal medicineColonoscopyCancerColorectal cancer

Abstract

fetched live from OpenAlex

We report a case in which a polypoid lesion with a diameter of 5 mm was diagnosed as a cervical polyp due to a negative Papanicolaou (Pap) smear in the cervix, and polypectomy revealed a diagnosis of villoglandular papillary adenocarcinoma (VGA) on histopathological examination. A 63-year-old woman with a cervical polyp, who had no abnormal symptoms and a negative Pap smear was referred to our hospital. We performed cervical polypectomy, and the pathological result was VGA with cervical intraepithelial neoplasia (CIN) 3. Even if an asymptomatic cervical polyp with a negative Pap smear is diagnosed, in some patients VGA of the uterine cervix may coexist with CIN. Therefore, asymptomatic cervical polyps with negative Pap smears should not be followed up without removal.

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)0.001
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 score0.029
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.021
GPT teacher head0.262
Teacher spread0.241 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

Explore more

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