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Record W2126649366 · doi:10.14740/jcgo.v3i1.209

The Value of Chromohysteroscopy in the Assessment of Postmenopausal Vaginal Bleeding

2014· article· en· W2126649366 on OpenAlexvenueno aff
Yahia El-Faissal, Ahmed Kamel

Bibliographic record

VenueJournal of Clinical Gynecology and Obstetrics · 2014
Typearticle
Languageen
FieldMedicine
TopicGynecological conditions and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHysteroscopyEndometrial biopsyVaginal bleedingCurettageGynecologyHistopathologyEndometriumOutpatient clinicBiopsyStainingObstetricsRadiologyInternal medicinePathologyPregnancy

Abstract

fetched live from OpenAlex

Background: To assess the endometrial changes in postmenopausal patients with vaginal bleeding, using chromohysteroscopy and histopathology, concluding consequently the value of chromohysteroscopy in investigating those patients. Methods: We included a group of 50 postmenopausal women, presenting with vaginal bleeding, to the outpatient clinic of Cairo University hospital. Transvaginal 2D ultrasonography was performed, followed by hysteroscopy, with chromohysteroscopy performed. Hysteroscopic guided biopsies were obtained from stained areas, then formal curettage done to all uterine walls. Results: Chromohysteroscopy patterns were either no staining (14%), staining of focal area(s) (76%) or staining of the whole endometrium (10%). Statistical significance was detected between endometrial thickness and chromohysteroscopy. We found a sensitivity 93.75%, specificity 27.77%, PPV 69.76%, and NPV 71.42% of chromohysteroscopy for the pathology obtained. Conclusion: Chromohysteroscopy improves the efficacy of hysteroscopy in targeting endometrial biopsy. It is though labor intensive and yet not standardized. Studies involving different dyes and larger number of participants are warranted. Inter-observer variability is equally important to help standardizing the procedure. J Clin Gynecol Obstet. 2014;3(1):35-41 doi: http://dx.doi.org/10.14740/jcgo209w

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)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.413
Teacher spread0.370 · 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
Published2014
Admission routes1
Has abstractyes

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