Endometrial ablation or resection versus levonorgestrel intra-uterine system for the treatment of women with heavy menstrual bleeding and a normal uterine cavity: a systematic review with meta-analysis
Bibliographic record
Abstract
BACKGROUND: Endometrial ablation/resection and the levonorgestrel intra-uterine system (LNG-IUS) are well-established treatment options for heavy menstrual bleeding to avoid more invasive alternatives, such as hysterectomy. OBJECTIVE: The aim was to compare the efficacy and safety of endometrial ablation or resection with the LNG-IUS in the treatment of premenopausal women with heavy menstrual bleeding and to investigate sources of heterogeneity between studies. SEARCH METHODS: We searched the databases MEDLINE, EMBASE, CENTRAL, Web of Science, Biosis and Google Scholar as well as citations and reference lists published up to August 2019. Two authors independently screened 3701 citations for eligibility. We included randomized controlled trials published in any language, comparing endometrial ablation or resection to the LNG-IUS in the treatment of premenopausal women with heavy menstrual bleeding and a normal uterine cavity. OUTCOMES: Thirteen studies (N = 884) were eligible. Two independent authors extracted data and assessed the quality of included studies. Random effect models were used to compare the modalities and evaluate sources of heterogeneity. No significant differences were observed between endometrial ablation/resection and the LNG-IUS in terms of subsequent hysterectomy (primary outcome, risk ratio (RR) = 1.13, 95% CI 0.60 to 2.11, P = 0.71, I2 = 14%, 12 studies, 726 women), satisfaction, quality of life, amenorrhea and treatment failure. However, side effects were less common in women treated with endometrial ablation/resection compared to the LNG-IUS (RR = 0.52, 95% CI 0.37 to 0.71, P < 0.001, I2 = 0%, 10 studies, 580 women). Three complications were reported in the endometrial ablation/resection group and none in the LNG-IUS group (P = 0.25). Mean age of the studied populations was identified as a significant source of heterogeneity between studies in subgroup analysis (P = 0.01). In fact, endometrial ablation/resection was associated with a higher risk of subsequent hysterectomy compared to the LNG-IUS in younger populations (mean age ≤ 42 years old, RR = 5.26, 95% CI 1.21 to 22.91, P = 0.03, I2 = 0%, 3 studies, 189 women). On the contrary, subsequent hysterectomy seemed to be less likely with endometrial ablation/resection compared to the LNG-IUS in older populations (mean age > 42 years old), although the reduction did not reach statistical significance (RR = 0.51, 95% CI 0.21 to 1.24, P = 0.14, I2 = 0%, 5 studies, 297 women). Finally, sensitivity analysis taking into account the risk of bias of included studies and type of surgical devices (first and second generation) did not modify the results. Most of the included studies reported outcomes at up to 3 years, and the relative performance of endometrial ablation/resection and LNG-IUS remains unknown in the longer term. WIDER IMPLICATIONS: Endometrial ablation/resection and the LNG-IUS are two excellent treatment options for heavy menstrual bleeding, although women treated with the LNG-IUS are at higher risk of experiencing side effects compared to endometrial ablation/resection. Otherwise, younger women seem to present a lower risk of eventually requiring hysterectomy when treated with the LNG-IUS compared to endometrial ablation/resection.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.030 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".