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Record W4299700721

Levonorgestrel-Releasing Intrauterine System (52 mg) for Idiopathic Heavy Menstrual Bleeding: A Health Technology Assessment.

2016· review· en· W4299700721 on OpenAlexaboutno aff

Bibliographic record

VenuePubMed · 2016
Typereview
Languageen
FieldMedicine
TopicUterine Myomas and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLevonorgestrelHysterectomyEndometrial ablationRandomized controlled trialCost effectivenessSystematic reviewEconomic evaluationQuality of life (healthcare)PsychosocialPelvic painObstetricsGynecologyMEDLINEPhysical therapyFamily planningPopulationSurgeryNursing
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Heavy menstrual bleeding affects as many as one in three women and has negative physical, economic, and psychosocial impacts including activity limitations and reduced quality of life. The goal of treatment is to make menstruation manageable, and options include medical therapy or surgery such as endometrial ablation or hysterectomy. This review examined the evidence of effectiveness and cost-effectiveness of the 52-mg levonorgestrel-releasing intrauterine system (LNG-IUS) as a treatment alternative for idiopathic heavy menstrual bleeding. METHODS: We conducted a systematic review of the clinical and economic evidence comparing LNG-IUS with usual medical therapy, endometrial ablation, or hysterectomy. Medline, EMBASE, Cochrane, and the Centres for Reviews and Dissemination were searched from inception to August 2015. The quality of the evidence was assessed according to the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) Working Group criteria. We also completed an economic evaluation to determine the cost-effectiveness and budget impact of the LNG-IUS compared with endometrial ablation and with hysterectomy. The economic evaluation was conducted from the perspective the Ontario Ministry of Health and Long-Term Care. RESULTS: Relevant systematic reviews (n = 18) returned from the literature search were used to identify eligible randomized controlled trials, and 16 trials were included. The LNG-IUS improved quality of life and reduced menstrual blood loss better than usual medical therapy. There was no evidence of a significant difference in these outcomes compared with the improvements offered by endometrial ablation or hysterectomy. Mild hormonal side effects were the most commonly reported. The quality of the evidence varied from very low to moderate across outcomes. Results from the economic evaluation showed the LNG-IUS was less costly (incremental saving of $372 per person) and more effective providing higher quality-adjusted life years (incremental value of 0.05) compared with endometrial ablation. Similarly, the LNG-IUS costs less (incremental saving of $3,138 per person) and yields higher quality-adjusted life-years (incremental value of 0.04) compared with hysterectomy. Publicly funding LNG-IUS as an alternative to endometrial ablation and hysterectomy would result in annual cost savings of $3 million to $9 million and $0.1 million to $23 million, respectively, over the first 5 years. CONCLUSIONS: The 52-mg LNG-IUS is an effective and cost-effective treatment option for idiopathic heavy menstrual bleeding. It improves quality of life and menstrual blood loss, and is well tolerated compared with endometrial ablation, hysterectomy, or usual medical therapies.

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)0.009
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.010
Bibliometrics0.0110.008
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.070
GPT teacher head0.356
Teacher spread0.286 · 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 designSystematic review
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

Citations14
Published2016
Admission routes1
Has abstractyes

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