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Recent advances in uterine fibroid embolization

2005· review· en· W2034911074 on OpenAlexaff
James B. Spies, Amee A. Patel, Nathan B. Epstein, Amy M. White

Bibliographic record

VenueCurrent Opinion in Obstetrics & Gynecology · 2005
Typereview
Languageen
FieldMedicine
TopicUterine Myomas and Treatments
Canadian institutionsGeorgetown Hospital
Fundersnot available
KeywordsMedicineUterine fibroidsTolerabilityEmbolizationUterine artery embolizationHysterectomyMagnetic resonance imagingPregnancyObstetricsLeiomyomaRadiologyGynecologyAdverse effectInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: To summarize the literature on uterine embolization for fibroids published in 2004 and 2005. RECENT FINDINGS: During the last two years, our understanding of the outcome of uterine fibroid embolization has increased. The outcomes are comparable to those that occur after hysterectomy. Health-related quality-of-life studies have confirmed the positive impact of the procedure. Improvement in menorrhagia has been quantified using the alkaline hematin method, objectively confirming the outcome. Recovery is also better understood and quantified, with most patients experiencing only moderate pain over the first few days after embolization. In two pregnancy-outcome studies, an increased frequency of cesarean section occurred and possibly a greater likelihood of abnormal placentation, although the data are too few to draw conclusions at this time. Contrast-enhanced magnetic resonance imaging (MRI) has emerged as the primary tool for assessing the potential of complications following the procedure, and our understanding of vaginal discharge and uterine infarction has been increased as a result of its use. SUMMARY: Within the last few years, uterine embolization has become an accepted therapy for uterine fibroids. The increase in understanding gained in recent years has helped to confirm the effectiveness and relative tolerability of this therapy.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
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 head0.093
GPT teacher head0.434
Teacher spread0.340 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations19
Published2005
Admission routes1
Has abstractyes

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