ArticleScientific reports2023
Validation of self-report of uterine fibroid diagnosis using a transvaginal ultrasound scan.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed.
- Multi-Mechanistic Effects of Xylopia aethiopica Fruits on Uterine Fibroids: Insights From In Vivo and In Silico Evidence.Chemistry & biodiversity · 2026Article
- The Invisible Burden: Examining the Impact of Exposure Misclassification in Epidemiologic Analyses of Uterine Fibroids.Paediatric and perinatal epidemiology · 2026Article
- A Subserosal Fibroid With Myxoid Degeneration: A Challenging Pelvic Mass.Case reports in obstetrics and gynecology · 2026Article
- The epidemiology of uterine fibroids: global disease burden from 1990 to 2021 and future trend predictions.Frontiers in reproductive health · 2025Article
- Population-based study of the reproductive risk factors for transvaginal ultrasound diagnosed uterine fibroids in Nigerian women.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Self-report of uterine fibroids (UF) has been used for epidemiologic research in different environments. Given the dearth of studies on the epidemiology of UF in Sub-Saharan Africa (SSA), it is valuable to evaluate its performance as a potential tool for much needed research on this common neoplasm in SSA women. We conducted a cross-sectional study of self-report of UF compared with transvaginal ultrasound diagnosis (TVUS) among 486 women who are members of the African Collaborative Center for Microbiome and Genomics Research (ACCME) Study Cohort in central Nigeria. We used log-binomial regression models to compute the classification, sensitivity, specificity, and predictive values of self-report compared to TVUS, adjusted for significant covariates. The prevalence of UF on TVUS was 45.1% (219/486) compared to 5.4% (26/486) based on self-report of abdominal ultrasound scan and 7.2% (35/486) based on report of healthcare practitioner's diagnosis. Self-report correctly classified 39.5% of the women compared to TVUS in multivariable adjusted models. The multivariable adjusted sensitivity of self-report of healthcare worker diagnosis was 38.8%, specificity was 74.5%, positive predictive value (PPV) was 55.6%, and negative predictive value (NPV) was 59.8%. For self-reported abdominal ultrasound diagnosis, the multivariable adjusted sensitivity was 40.6%, specificity was 75.3%, PPV was 57.4%, and NPV was 60.6%. Self-report significantly underestimates the prevalence of UF and is not accurate enough for epidemiological research on UF. Future studies of UF should use population-based designs and more accurate diagnostic tools such as TVUS.
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Registered trials
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