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Record W3127128049 · doi:10.2147/ijwh.s279864

Water Vapor Endometrial Ablation for Heavy Menstrual Bleeding: 36-Month Follow-Up of a Prospective, Multicenter Pivotal Clinical Trial

2021· article· en· W3127128049 on OpenAlexaffabout
Nicholas Leyland, M Harris

Bibliographic record

VenueInternational Journal of Women s Health · 2021
Typearticle
Languageen
FieldMedicine
TopicUterine Myomas and Treatments
Canadian institutionsMcMaster University
FundersUniversidad Autónoma de Nuevo León
KeywordsMedicineEndometrial ablationAmenorrheaAdverse effectGynecologyClinical trialMetrorrhagiaProspective cohort studyObstetricsHysterectomySurgeryPopulationFamily planningPregnancyInternal medicine

Abstract

fetched live from OpenAlex

Study Objective: To report 36-month follow-up of a pivotal trial that evaluated the safety and effectiveness of the AEGEA Water Vapor System for the treatment of heavy menstrual bleeding (HMB) secondary to Abnormal Uterine Bleeding due to Endometrial disorders or Leiomyomata (AUB-E and AUB-L). Methods: A prospective, multicenter, single-arm clinical trial at 14 sites in the US, Canada, Mexico, and the Netherlands. Inclusion criteria included a Pictorial Blood Loss Assessment (PBLAC, Higham) score ≥ 150 and allowed treatment of subjects with leiomyomata classified by the International Federation of Gynecology and Obstetrics (FIGO) Types 2– 6 up to 4 cm in diameter, a uterine cavity up to 12 cm in length (uterine sound), Essure ® contraceptive inserts and/or prior cesarean section. Follow-up assessments were conducted annually up to 36 months after endometrial ablation. The following outcomes were evaluated for 125/155 women: gynecological adverse events, qualitative assessment of menstrual flow, quality of life using the Menorrhagia Impact Questionnaire (MIQ), patient satisfaction, and medical or surgical reintervention for AUB. Results: One hundred and fifty-five premenopausal women aged 30 to 50 years were enrolled from September 2014 through May 2015. Water vapor endometrial ablation was performed under varying anesthesia/sedation regimens in offices, surgical centers and operating rooms. There were 6 procedure-related adverse events that occurred between 12- and 36-month follow-up, 1 of which was deemed serious (hematometra managed successfully hysteroscopically). Seventy-two percent reported amenorrhea or light menstrual flow. The mean quality of life (MIQ) score improved from 14.7 at baseline to 6.4. Ninety-three percent reported “Satisfied” or “Very Satisfied.” Post-ablation hysterectomy for any indication was performed in 6.5% of patients, and the total rate of re-intervention for bleeding was 7.1%. Conclusion: Outcomes 36-months after water vapor endometrial ablation for HMB are consistent with 12- and 24-month follow-up results in all subgroups evaluated. The AEGEA Water Vapor System increases the population of patients amenable to efficacious and acceptable treatment of Heavy Menstrual Bleeding (HMB) due to Abnormal Uterine Bleeding (AUB-E,-L). CinicalTrials.gov NCT01979861 registered November 8, 2013. Keywords: ablation, endometrial, menorrhagia, vapor

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.059
GPT teacher head0.404
Teacher spread0.346 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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

Citations3
Published2021
Admission routes2
Has abstractyes

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