Validation of self-report of uterine fibroid diagnosis using a transvaginal ultrasound scan

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...

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Main Authors: Clement A. Adebamowo, Imran O. Morhason-Bello, The ACCME Research Group as part of the H3Africa Consortium, Sally N. Adebamowo
Format: Article
Language:English
Published: Nature Portfolio 2023-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-36313-y
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author Clement A. Adebamowo
Imran O. Morhason-Bello
The ACCME Research Group as part of the H3Africa Consortium
Sally N. Adebamowo
author_facet Clement A. Adebamowo
Imran O. Morhason-Bello
The ACCME Research Group as part of the H3Africa Consortium
Sally N. Adebamowo
author_sort Clement A. Adebamowo
collection DOAJ
description 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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spelling doaj.art-b831ffd3274d467db346e7de28421f8e2023-06-11T11:11:27ZengNature PortfolioScientific Reports2045-23222023-06-011311810.1038/s41598-023-36313-yValidation of self-report of uterine fibroid diagnosis using a transvaginal ultrasound scanClement A. Adebamowo0Imran O. Morhason-Bello1The ACCME Research Group as part of the H3Africa ConsortiumSally N. Adebamowo2Department of Epidemiology and Public Health, School of Medicine, University of MarylandDepartment of Obstetrics and Gynecology, Faculty of Clinical Sciences, and the Institute of Advanced Medical Research and Training College of Medicine University of IbadanDepartment of Epidemiology and Public Health, School of Medicine, University of MarylandAbstract 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.https://doi.org/10.1038/s41598-023-36313-y
spellingShingle Clement A. Adebamowo
Imran O. Morhason-Bello
The ACCME Research Group as part of the H3Africa Consortium
Sally N. Adebamowo
Validation of self-report of uterine fibroid diagnosis using a transvaginal ultrasound scan
Scientific Reports
title Validation of self-report of uterine fibroid diagnosis using a transvaginal ultrasound scan
title_full Validation of self-report of uterine fibroid diagnosis using a transvaginal ultrasound scan
title_fullStr Validation of self-report of uterine fibroid diagnosis using a transvaginal ultrasound scan
title_full_unstemmed Validation of self-report of uterine fibroid diagnosis using a transvaginal ultrasound scan
title_short Validation of self-report of uterine fibroid diagnosis using a transvaginal ultrasound scan
title_sort validation of self report of uterine fibroid diagnosis using a transvaginal ultrasound scan
url https://doi.org/10.1038/s41598-023-36313-y
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