Evidence map›Paper›PMID 32105679›Full record

Observational studyAmerican journal of obstetrics and gynecology2020

Uterine fibroid incidence and growth in an ultrasound-based, prospective study of young African Americans.

Donna D Baird, Stacy A Patchel, Tina M Saldana, David M Umbach, Tracy Cooper, Ganesa Wegienka, Quaker E Harmon

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in American journal of obstetrics and gynecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

52 citing papers in PubMed, 80 citations in OpenAlex.

  1. Trial
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  8. Review
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  10. The epidemiology and pathogenesis of uterine fibroids.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
    Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
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  18. Observational
  19. Article
  20. Body Mass Index and Uterine Fibroid Development: A Prospective Study.The Journal of clinical endocrinology and metabolism · 2024
    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

7 authors at 5 institutions in 1 country.

Donna D BairdEpidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC. Electronic address: baird@niehs.nih.gov.
Stacy A PatchelWestat, Durham, NC.
Tina M SaldanaSocial and Scientific Systems, Durham, NC.
David M UmbachBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC.
Tracy CooperHenry Ford Health System, Detroit, MI.
Ganesa WegienkaHenry Ford Health System, Detroit, MI.
Quaker E HarmonEpidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC.
Henry Ford Health System · USNational Institutes of Health · USNational Institute of Environmental Health Sciences · USSocial and Scientific Systems (United States) · USWestat (United States) · US

Funding

Uterine LeiomyomasZIAES049013 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI JUKIC, ANNE MARIE · 2009 to 2025
$14.7M
Statistical Methods In Human Development/clinical StudiesZIAES049004 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI UMBACH, DAVID M · 2009 to 2025
$1.8M
UTERINE LEIOMYOMAS--A CASE CONTROL STUDYZ01ES049013 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI BAIRD, DONNA D. · 1995 to 2008
$904k
Intramural NIH HHS Z01 ES049013Intramural NIH HHS ZIA ES049013
6 · The paper itself

Abstract

backgroundUterine fibroids are common. Symptoms are debilitating for many, leading to high medical and societal costs. Indirect data suggest that compared with white women, African Americans develop fibroids at least 10 years earlier on average, and their higher health burden has been well documented.

objectiveThe objective of the study was to directly measure fibroid incidence and growth in a large, community-based cohort of young African-American women. STUDY

designThis observational, community-based, prospective study enrolled 1693 African-American women, aged 23-35 years with no prior diagnosis of fibroids. Standardized transvaginal ultrasound examinations at enrollment and after approximately 18 months were conducted to identify and measure fibroids ≥0.5 cm in diameter. Fibroid growth (change in natural log volume per 18 months) was analyzed with mixed-model regression (n = 344 fibroids from 251 women whose baseline ultrasound revealed already existing fibroids).

resultsAmong the 1123 fibroid-free women with follow-up data (88% were followed up), incidence was 9.4% (95% confidence interval, 7.7-11.2) and increased with age (P

conclusionThis is the first study to directly measure age-specific fibroid incidence with a standardized ultrasound protocol and to measure fibroid growth in a large community-based sample. Findings indicate that very small fibroids are very dynamic in their growth, with rapid growth, but a high chance of loss. Larger fibroids grow more slowly. For example, a 2-cm fibroid is likely to take 4-5 years to double its diameter. Detailed data on fibroid incidence confirm an early onset in African-American women.

Indexed as

Black or African AmericanAdultFemaleFollow-Up StudiesHumansLeiomyomaMichiganProspective StudiesUltrasonographyUterine NeoplasmsYoung Adultepidemiologyincidencetumor growthultrasounduterine leiomyomata

Identifiers

PMID32105679
PMCPMC8039858
OpenAlexW3007293100

What OpenQuestion holds

Textmetadata
LicenceTDM
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.