Evidence map›Paper›PMID 40308372›Full record

ArticleWomen's health reports (New Rochelle, N.Y.)2025

Use of Oral Gonadotropin Releasing Hormone Antagonist Combinations for Preoperative Management of Refractory Leiomyoma-Related Heavy Menstrual Bleeding.

Danielle A Aase, Elizabeth A Stewart

Abstract read
In one paragraph

Article in Women's health reports (New Rochelle, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Danielle A AaseDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Mayo Clinic and Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0003-1684-8690
Elizabeth A StewartDivision of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Mayo Clinic and Mayo Clinic College of Medicine and Science, Rochester, Minnesota, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uterine leiomyomas are noncancerous smooth muscle neoplasms that occur in up to 70% of women and the single most common cause of hysterectomy. There is a variety of treatments available for uterine leiomyomas, including medications, uterine artery embolization, myomectomy, and hysterectomy but surgical treatments predominate. Medical optimization of anemia is often required prior to surgical treatment secondary to heavy menstrual bleeding and resultant iron deficiency anemia from chronic blood loss. While iron and multivitamins are critical to increase hemoglobin, pharmacologic therapy to suppress menstrual bleeding is often needed. First line therapy is typically a trial of combined oral contraceptive pills (OCPs); however, this may not be effective in all patients. Parenteral administration of long-acting GnRH agonists is often used as a second line treatment; however, these agents can lead to an initial "flare" effect precipitating a heavy bleed during the agonist phase which can be problematic in such patients. An alternative course of action is the use of oral GnRH antagonist combination therapy (OGAC) with estradiol and norethindrone, an option approved in both the United States and the European Union for long-term treatment of leiomyoma-related heavy menstrual bleeding. To demonstrate the clinical utility of OGAC therapy in the preoperative setting, we report a successful patient outcome and review relevant literature.

Indexed as

GnRH antagonistgynecologyleiomyomamyomectomy

Identifiers

PMID40308372
PMCPMC12040523

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.