Evidence map›Paper›PMID 40752815›Full record

ArticleContraception2025

Racial and ethnic differences in risk for hysterectomy following insertion of a levonorgestrel-releasing intrauterine device: A retrospective cohort study.

Michael J Green, Kemi M Doll, Mollie E Wood, Annie G Howard, Lauren G Anderson, Joacy G Mathias, Natalie A Rivadeneira, Erin T Carey, Timothy S Carey, Wanda Nicholson and 3 more

Abstract read
In one paragraph

Article in Contraception, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Michael J GreenDepartment of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, United States.
Kemi M DollDepartment of Obstetrics and Gynecology, University of Washington School of Medicine, Seattle, WA, United States.
Mollie E WoodDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Annie G HowardDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Lauren G AndersonDepartment of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, United States.
Joacy G MathiasDepartment of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, United States.
Natalie A RivadeneiraDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Erin T CareyDepartment of Obstetrics and Gynecology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Timothy S CareyCecil G Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Wanda NicholsonDepartment of Prevention and Community Health, Milken Institute School of Public Health and Department of Obstetrics and Gynecology, George Washington School of Medicine and Health Sciences, George Washington University, Washington, DC, United States.
Til StürmerDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Evan R MyersDepartment of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, United States; Margolis Center for Health Policy, Duke University, Durham, NC, United States.
Whitney R RobinsonDepartment of Obstetrics and Gynecology, Duke University School of Medicine, Durham, NC, United States; Margolis Center for Health Policy, Duke University, Durham, NC, United States; Duke-UNC Alzheimer's Disease Research Center, Durham, NC, United States. Electronic address: whitney.robinson489@duke.edu.

Funding

North Carolina Translational and Clinical Sciences Institute (NC TraCS)UM1TR004406 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NICHOLAS J SHAHEEN · 2023 to 2026
$37.5M
Pilot & Feasibility ProgramP30DK124723 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI P Darrell Neufer · 2020 to 2026
$11.0M
Propensity scores and preventive drug use in the elderlyR01AG056479 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Til Sturmer · 2017 to 2026
$5.0M
Multilevel Forms of Structural Racism and Racial Inequalities in ADRD RiskR01AG077947 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TAYLOR HARGROVE, Chantel L. Martin · 2022 to 2026
$3.5M
Racial Differences in Treatment with Hysterectomy: a Multilevel InvestigationR01MD011680 · NIMHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBINSON, WHITNEY RAGAN · 2017 to 2021
$3.3M
Applying causal inference methods to improve estimation of the real-world benefits and harms of lung cancer screening - NCI Diversity SupplementR01CA277756 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Louise Henderson, Jennifer Lund · 2023 to 2026
$1.5M
NCATS NIH HHS UM1 TR004406NCI NIH HHS R01 CA277756NIA NIH HHS R01 AG056479NIA NIH HHS R01 AG077947NIDDK NIH HHS P30 DK124723NIMHD NIH HHS R01 MD011680
6 · The paper itself

Abstract

objectivesEvidence regarding risk for hysterectomy following treatment for benign gynecological conditions with a levonorgestrel-releasing intrauterine device (LNG-IUD) is limited. We assess whether race and ethnicity are associated with hysterectomy risk and moderate associations between other patient characteristics and hysterectomy risk. STUDY

designFrom health care records (US South; 2014-2019), we identified a retrospective cohort of 783 patients (aged 18-44 years; non-Hispanic White n = 455; non-Hispanic Black n = 208; Hispanic n = 120) receiving LNG-IUD treatment for a benign condition, followed to hysterectomy or study end (September 18, 2019). Indices measuring preinsertion bleeding, gynecological pain, and bulk symptom severity were abstracted from 4 months' medical records preceding insertion. Associations between race and ethnicity, age, symptom severity, presence of fibroids and endometriosis, prior IUD use, parity, and insurance and hysterectomy risk were investigated with Kaplan-Meier estimates and Cox regression.

resultsSeventy-six patients (9.7%) underwent hysterectomy (median follow-up: 1.7 years). Hysterectomy rates were 7.0% within 1 year, climbing to 14.9% at 4 years post-insertion. Hysterectomy rates did not differ significantly by race and ethnicity. Age at treatment, symptom severity, fibroids, parity, and insurance status were associated with hysterectomy, but only age (hazard ratio per unit increase: 1.04 [95% CI: 1.00-1.09]), bleeding severity (1.05 [1.00-1.10]), and bulk severity (1.15 [1.00-1.32]) remained associated with adjustment. There was no evidence that race and ethnicity moderated these associations.

conclusionsWe did not find statistically significant differences in hysterectomy risk for Black, Hispanic, and White LNG-IUD patients. Patients who were older and had more severe pre-insertion uterine bleeding and bulk symptoms were more likely to undergo hysterectomy. These associations did not differ by race and ethnicity. IMPLICATIONS: Among patients being treated with LNG-IUDs for benign gynecological conditions, Black, Hispanic, and White patients did not differ significantly in hysterectomy risk, but older patients and those with more severe bleeding and bulk symptoms were more likely to undergo hysterectomies.

Indexed as

HysterectomyIntrauterine Devices, MedicatedLevonorgestrelAdolescentAdultBlack or African AmericanContraceptive Agents, FemaleEthnicityFemaleHispanic or LatinoHumansRetrospective StudiesRisk FactorsWhiteYoung AdultContraceptive Agents, FemaleLevonorgestrelAbnormal uterine bleedingCohort studyDisparitiesGynecological symptomsHysterectomyIntrauterine device

Identifiers

PMID40752815
PMCPMC13390552

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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.