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Record W4402532041 · doi:10.1016/j.jmig.2024.09.011

Radiofrequency Ablation for the Treatment of Uterine Fibroids: A Systematic Review and Meta-Analysis by the AAGL Practice Committee

2024· review· en· W4402532041 on OpenAlexaff
Innie Chen, Jay M. Berman, Ethan M. Balk, Ian J. Saldanha, Emilie Kowalczewski, Johnny Yi, Salena Zanotti, M. Al Hilli, Kimberly A. Kho

Bibliographic record

VenueJournal of Minimally Invasive Gynecology · 2024
Typereview
Languageen
FieldMedicine
TopicUterine Myomas and Treatments
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineMeta-analysisUterine fibroidsRadiofrequency ablationSystematic reviewGynecologyAblationGeneral surgeryMEDLINEInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To systematically review clinical and patient-reported outcomes after radiofrequency ablation (RFA) for the treatment of uterine fibroids. DATA SOURCES: We searched Medline, EMBASE, Cochrane Registry of Controlled Trials (CENTRAL) on September 8, 2023, and requested additional data from industry sources. We included published, peer-reviewed studies of patient-centered outcomes of RFA when used for symptomatic fibroids. Abstracts and potentially relevant full-text articles were screened and data were extracted regarding study characteristics, arms, outcomes, and results, together with risk of bias assessment. METHODS OF STUDY SELECTION: We included 30 studies published in 49 articles (3 randomized controlled trials, 1 nonrandomized comparative study, and 26 single-group studies, as well as 4 publications from the TRUST Study) with variable risks of bias. TABULATION, INTEGRATION, AND RESULTS: The study populations were demographically diverse and clinically heterogeneous. Across studies, RFA treatment was associated with fibroid volume reduction of 46.0% (95% confidence interval [CI] 52.1, 40.0; 11 studies) at 3 months and 65.4% (95% CI 74.7, 56.1; 10 studies) at 12 months. All studies reported a decrease in proportion of patients experiencing abnormal, heavy, or prolonged menstrual bleeding, with the most substantial improvement within the first 3 months. Meta-analyses of health-related quality of life scores demonstrated significant improvements in scores from baseline for Uterine Fibroid Symptoms and Quality of Life (53.4, 95% CI 48.2, 58.5; 19 studies), EuroQol-5 dimension (71.6, 95% CI 65.0, 78.1; 4 studies), and Symptom Severity Score (52.2, 95% CI 46.4, 58.1; 17 studies), with a peak at 6 months on the Uterine Fibroid Symptoms and Quality of Life scale (88.0, 95% CI 83.0, 92.9; 11 studies), a peak at 24 months on the EuroQol-5 dimension scale (88.3, 95% CI 86.0, 90.6; 2 studies), and a trough at 12 months for Symptom Severity Score (12.8, 95% CI 7.0, 18.6; 11 studies). Studies mostly demonstrated return to work and normal activities within 2 weeks. Reported unplanned hospitalizations were infrequent, and durations of hospital stay were generally short. Postprocedure complications were inconsistently reported but assessed overall to be infrequent. Long-term need for medical and surgical re-intervention varied. Post-RFA hysterectomy rates ranged from 2/205 (1.0%) to 15/62 (24.1%) with variable follow-up periods ranging from 45 days to 74 months. Most studies did not include patients who desired to maintain fertility; thus, reproductive data are insufficient for interpretation. CONCLUSION: There is a paucity of comparative studies, and the small number of RCTs are limited by lack of blinding. Few studies had the long-term follow-up time required to draw definitive conclusions regarding the durability of symptom relief. However, despite these limitations, there is overall agreement on several important clinical measures following RFA, such as decreased fibroid volume, improved uterine bleeding, and improved quality of life. Future high-quality randomized controlled trials with standardized outcomes measures are required to better characterize the use of RFA among fibroid patients.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.453
Threshold uncertainty score0.765

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0080.004
Bibliometrics0.0000.000
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 head0.084
GPT teacher head0.391
Teacher spread0.307 · 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 designMeta-analysis
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

Citations22
Published2024
Admission routes1
Has abstractyes

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