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Microinvasive Cervical Adenocarcinoma (FIGO Stage 1A Tumors)

2006· article· en· W2202756850 on OpenAlexaff
Katherine M. Ceballos, Danielle Shaw, Dean Daya

Bibliographic record

VenueThe American Journal of Surgical Pathology · 2006
Typearticle
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineLymph nodeDissection (medical)CervixStage (stratigraphy)AdenocarcinomaRadiologyCervical cancerPopulationSurgeryCancerInternal medicine

Abstract

fetched live from OpenAlex

Although studies suggest that microinvasive cervical adenocarcinoma has an excellent prognosis, none has reported treatment-related complications and many have lacked detailed measurement criteria. Our study looks at the rate of lymph node metastases and outcome, including complications, in patients with FIGO 1A1 and 1A2 adenocarcinomas of the cervix. Invasion was strictly defined, and the method of measurement was standardized. Villoglandular, papillary serous and clear cell carcinomas were excluded, as were tumors in which invasion exceeded 7 mm in width or 5 mm in thickness, with tumor thickness measured from the basement membrane of the overlying endocervical or ectocervical surface to the deepest focus of invasive tumor. A mean follow-up of 54 months (range, 5-159 months) was available for 31 of 32 (97%) patients. A total of 29 of 32 patients underwent hysterectomies, 2 patients had radical trachelectomies, and 1 patient was treated by cone biopsy. One patient received adjuvant radiotherapy. A total of 27 of 32 patients had bilateral pelvic lymph node dissections, and no lymph node metastases were identified. No recurrences have been reported to date. One patient died of metastatic ovarian carcinoma 82 months after her diagnosis of cervical carcinoma. Two of 27 (7%) patients have chronic leg edema secondary to lymph node dissection. Given the excellent prognosis of this tumor, the absence of lymph node metastases and a lymph node dissection complication rate of 7%, less radical surgery should be considered in this low-risk patient population.

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 score0.166
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.276
Teacher spread0.259 · 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

Citations58
Published2006
Admission routes1
Has abstractyes

Explore more

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