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Record W7038350380

Hysteroscopic evaluation of menopausal women with endometrial thickness of 4 mm
\nor more

2000· article· en· W7038350380 on OpenAlexaboutno aff

Bibliographic record

VenueCINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrthoptera Research and Taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsHysteroscopyAsymptomaticEndometrial biopsyBiopsyMenopauseUltrasound
DOInot available

Abstract

fetched live from OpenAlex

STUDY OBJECTIVE:
\nTo assess the diagnostic and operative potential of hysteroscopy in postmenopausal patients selected by ultrasound criteria.
\nDESIGN:
\nCohort study (Canadian Task Force classification II-2).
\nSETTING:
\nOutpatient ultrasound and hysteroscopy department of a university-affiliated hospital.
\nPATIENTS:
\nOne hundred fifty-five postmenopausal women with endometrial thickness of 4 mm or more by ultrasound, in menopause for at least 1 year, with or without menopausal complaints.
\nINTERVENTIONS:
\nTransvaginal ultrasound and office hysteroscopy with eye-directed biopsy specimens using a 5-mm, continuous-flow, operative hysteroscope.
\nMEASUREMENTS AND MAIN RESULTS:
\nOf the 155 women, 129 (83%) were asymptomatic (irregular bleeding). Hysteroscopy showed endometrial pathology in 28% of asymptomatic patients (23 polyps, 5 cases of hyperplasia, 8 submucous myomata) and 76% of symptomatic women (13 polyps, 6 hyperplasia, 1 submucous myoma). Hysteroscopic results compared with histologic diagnosis showed a positive predictive value equal to 97. 1% and 95% in asymptomatic and symptomatic women, respectively, and a negative predictive value equal to 100% in both groups.
\nCONCLUSION:
\nOffice hysteroscopy with endometrial biopsy samples has a diagnostic and operative role in postmenopausal patients selected based on endometrial thickness on ultrasound, in view of the high prevalence of endometrial pathology in both symptomatic and asymptomatic women.

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)0.003
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.832
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.061
GPT teacher head0.270
Teacher spread0.208 · 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

Citations0
Published2000
Admission routes1
Has abstractyes

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