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Aromatase Inhibitors in the Treatment of Severe Endometriosis

2007· article· en· W2056817373 on OpenAlexaff
Noha A. Mousa, Mohamed A. Bedaiwy, Robert F. Casper

Bibliographic record

VenueObstetrics and Gynecology · 2007
Typearticle
Languageen
FieldMedicine
TopicEndometriosis Research and Treatment
Canadian institutionsLunenfeld-Tanenbaum Research InstituteUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsMedicineLetrozoleExemestaneEndometriosisAromatasePelvic painAromatase inhibitorConcomitantSurgical MenopauseAnastrozoleHysterectomyMenopauseEstrogenGynecologyInternal medicineSurgeryBreast cancerCancer

Abstract

fetched live from OpenAlex

BACKGROUND: Endometriosis-associated chronic pelvic pain unresponsive to surgical menopause is a difficult clinical problem. CASE: A middle-aged woman presented with endometriosis and severe pelvic pain after hysterectomy and bilateral salpingo-oopherectomy. She was first treated with exemestane without improvement of symptoms. However, another aromatase inhibitor, letrozole, relieved her pain, and concomitant treatment with estrogen relieved hot flushes without pain reactivation. CONCLUSION: Letrozole was superior to exemestane in relieving the endometriosis-associated pain in this postmenopausal woman. This suggests that patients may respond variably to different aromatase inhibitors.

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)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.644
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.305
Teacher spread0.282 · 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

Citations62
Published2007
Admission routes1
Has abstractyes

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