Evidence map›Paper›PMID 37210440›Full record

ReviewTherapeutic innovation & regulatory science2023

Patient Preferences Regarding Surgical Treatment Methods for Symptomatic Uterine Fibroids.

Olufemi Babalola, David Gebben, Michelle E Tarver, Roopina Sangha, Jason Roberts, Veronica Price

Open access · hybridAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Therapeutic innovation & regulatory science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Contemporary Management of Uterine Fibroids.Journal of clinical medicine · 2026
    Review
  3. Article
  4. Article
  5. Establishment of a Predictive Model for the Efficacy of High-Intensity Focused Ultrasound in the Treatment of Uterine Fibroids.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2025
    Article
  6. Article
  7. Article
  8. 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

6 authors at 2 institutions in 1 country.

Olufemi BabalolaPatient Science & Engagement, Office of Strategic Partnerships and Technology Innovation, Center for Devices and Radiological Health, U.S. Food and Drug Administration, White Oak, Bldg. 66, Room 5574, Silver Spring, MD, 20993, USA. Olufemi.babalola@fda.hhs.gov.ORCID 0000-0003-3326-7775
David GebbenCenter for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Michelle E TarverCenter for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Roopina SanghaDepartment of Obstetrics and Gynecology, JPS Health Network, Fort Worth, TX, USA.
Jason RobertsCenter for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Veronica PriceCenter for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD, USA.
United States Food and Drug Administration · USJPS Health Network · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectiveThe purpose of this study is to rank the factors that are most and least important to patients with symptomatic uterine fibroids when considering surgical treatment options. MATERIALS AND

methodsUsing a best worst scaling (BWS) preference elicitation approach, participants completed an online survey to rank factors associated with fibroid surgical treatments. Survey content was based on a literature review and included the following factors: symptom relief; surgical complications; repeat treatment; recovery time; cosmetic effects; risk of spreading undiagnosed cancer; sexual outcomes; maintenance of child-bearing; continuation of menses; unpredictable menses; and location of procedure. Participants completed 11 BWS tasks. For each task, we presented participants with a subset of 5 factors from the possible 11, and participants chose the most important and least important factor. Participants' responses were analyzed using conditional logistic regression to determine the relative importance of factors. Patient priorities were further explored via age and race.

results285 respondents with symptomatic uterine fibroids (69 physician-confirmed and 216 self-reported) who had not undergone prior surgical treatment completed the survey. Respondents were enrolled from two clinical sites (clinical site cohort) and an online consumer panel (panel cohort). Both cohorts identified symptom relief, cancer risk, repeat treatment and complications as the most important factors in selecting surgical treatment options and location of procedure, return to normal activities after surgery, and cosmetic effects like presence of a scar after the surgical treatment as the least important factors. Of note, younger women (≤ 40) placed greater importance on the ability to have children after the procedure.

conclusionInformation regarding the factors most and least important to patients with symptomatic uterine fibroids might inform development and regulatory evaluation of new technologies and procedures. Study results may be useful in efforts to develop a set of outcomes to include in future fibroids clinical studies.

Indexed as

LeiomyomaUterine NeoplasmsFemaleHumansPatient PreferenceSelf ReportSurveys and QuestionnairesBenefit-risk assessmentBest Worst ScalingPatient preferencesPatient prioritiesProduct developmentUterine fibroids

Identifiers

PMID37210440
PMCPMC10400705
OpenAlexW4377157736

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.