Cancer and neoplasms
Racial disparities between measures of area deprivation and financial toxicity, and uterine volume in myomectomy patients
Nov
Stewart EA, Cookson CL, Gandolfo RA, Schulze-Rath R. Epidemiology of uterine fibroids: a systematic review. BJOG. 2017;124(10):1501–12.
Google Scholar
Baird DD, Dunson DB, Hill MC, Cousins D, Schectman JM. High cumulative incidence of uterine leiomyoma in black and white women: ultrasound evidence. Am J Obstet Gynecol. 2003;188(1):100–7.
Google Scholar
Kim JS, Qureshy Z, Lazar AA, Chen LL, Jacoby A, Opoku-Anane J, Lager J. Rethinking disparities in minimally invasive myomectomy: identifying drivers of Disparate Surgical Approach to Myomectomy between African American and White women. J Minim Invasive Gynecol. 2022;29(1):65–71e62.
Google Scholar
Moore AB, Flake GP, Swartz CD, Heartwell G, Cousins D, Haseman JK, Kissling GE, Sidawy MK, Dixon D. Association of race, age and body mass index with gross pathology of uterine fibroids. J Reprod Med. 2008;53(2):90–6.
Google Scholar
Zaritsky E, Ojo A, Tucker LY, Raine-Bennett TR. Racial disparities in Route of Hysterectomy for Benign indications within an Integrated Health Care System. JAMA Netw Open. 2019;2(12):e1917004.
Google Scholar
Berman JM, Bradley L, Hawkins SM, Levy B. Uterine fibroids in Black women: a race-stratified subgroup analysis of treatment outcomes after laparoscopic Radiofrequency ablation. J Womens Health (Larchmt). 2022;31(4):593–9.
Google Scholar
Wegienka G, Stewart EA, Nicholson WK, Zhang S, Li F, Thomas L, Spies JB, Venable S, Laughlin-Tommaso S, Diamond MP, et al. Black women are more likely Than White women to schedule a uterine-sparing treatment for Leiomyomas. J Womens Health (Larchmt). 2021;30(3):355–66.
Google Scholar
Bhave Chittawar P, Franik S, Pouwer AW, Farquhar C. Minimally invasive surgical techniques versus open myomectomy for uterine fibroids. Cochrane Database Syst Rev. 2014;10:Cd004638.
West CP, Lumsden MA, Lawson S, Williamson J, Baird DT. Shrinkage of uterine fibroids during therapy with goserelin (zoladex): a luteinizing hormone-releasing hormone agonist administered as a monthly subcutaneous depot. Fertil Steril. 1987;48(1):45–51.
Google Scholar
Wegienka G, Baird DD, Hertz-Picciotto I, Harlow SD, Hartmann KE. Uterine leiomyomata (fibroids): are bleeding symptoms more likely to be reported after diagnosis? J Clin Epidemiol. 2004;57(3):318–20.
Google Scholar
de Souza JA, Yap BJ, Wroblewski K, Blinder V, Araújo FS, Hlubocky FJ, Nicholas LH, O’Connor JM, Brockstein B, Ratain MJ, et al. Measuring financial toxicity as a clinically relevant patient-reported outcome: the validation of the COmprehensive score for financial toxicity (COST). Cancer. 2017;123(3):476–84.
Google Scholar
Kind AJH, Buckingham WR. Making Neighborhood-Disadvantage Metrics Accessible – The Neighborhood Atlas. N Engl J Med. 2018;378(26):2456–8.
Google Scholar
Kind AJ, Jencks S, Brock J, Yu M, Bartels C, Ehlenbach W, Greenberg C, Smith M. Neighborhood socioeconomic disadvantage and 30-day rehospitalization: a retrospective cohort study. Ann Intern Med. 2014;161(11):765–74.
Google Scholar
de Souza JA, Yap BJ, Wroblewski K, Blinder V, Araujo FS, Hlubocky FJ, Nicholas LH, O’Connor JM, Brockstein B, Ratain MJ, et al. Measuring financial toxicity as a clinically relevant patient-reported outcome: the validation of the COmprehensive score for financial toxicity (COST). Cancer. 2017;123(3):476–84.
Google Scholar
Vines AI, Ta M, Esserman DA. The association between self-reported major life events and the presence of uterine fibroids. Women’s Health Issues: Official Publication of the Jacobs Institute of Women’s Health. 2010;20(4):294–8.
Google Scholar
Vines AI, Nguyen TTX, Ta M, Esserman D, Baird DD. Self-reported daily stress, squelching of anger and the Management of Daily Stress and the prevalence of Uterine Leiomyomata: the Ultrasound Screening Study. Stress Health. 2011;27(3):e188–94.
Google Scholar
Soliman AM, Yang H, Du EX, Kelkar SS, Winkel C. The direct and indirect costs of uterine fibroid tumors: a systematic review of the literature between 2000 and 2013. Am J Obstet Gynecol. 2015;213(2):141–60.
Google Scholar
Xie S, Himes BE. Approaches to Link Geospatially varying Social, Economic, and Environmental Factors with Electronic Health Record Data to Better Understand Asthma exacerbations. AMIA Annu Symp Proc. 2018;2018:1561–70.
Google Scholar
Xie S, Greenblatt R, Levy MZ, Himes BE. Enhancing Electronic Health Record Data with Geospatial Information. AMIA Jt Summits Transl Sci Proc. 2017;2017:123–32.
Google Scholar
Spies JB, Coyne K, Guaou Guaou N, Boyle D, Skyrnarz-Murphy K, Gonzalves SM. The UFS-QOL, a new disease-specific symptom and health-related quality of life questionnaire for leiomyomata. Obstet Gynecol. 2002;99(2):290–300.
Google Scholar
Herve F, Katty A, Isabelle Q, Celine S. Impact of uterine fibroids on quality of life: a national cross-sectional survey. Eur J Obstet Gynecol Reprod Biol. 2018;229:32–7.
Google Scholar
Herdman M, Gudex C, Lloyd A, Janssen MF, Kind P, Parkin D, Bonsel G, Badia X. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011;20(10):1727–36.
Google Scholar
Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–13.
Google Scholar
Wallace K, Stewart EA, Wise LA, Nicholson WK, Parry JP, Zhang S, Laughlin-Tommaso S, Jacoby V, Anchan RM, Diamond MP, et al. Anxiety, Depression, and quality of life after procedural intervention for uterine fibroids. J Womens Health (Larchmt). 2022;31(3):415–24.
Google Scholar
Laughlin-Tommaso SK, Lu D, Thomas L, Diamond MP, Wallace K, Wegienka G, Vines AI, Anchan RM, Wang T, Maxwell GL et al. Short-term quality of life after myomectomy for uterine fibroids from the COMPARE-UF Fibroid Registry. Am J Obstet Gynecol 2020, 222(4):345.e341-345.e322.
Stewart EA, Lytle BL, Thomas L, Wegienka GR, Jacoby V, Diamond MP, Nicholson WK, Anchan RM, Venable S, Wallace K, et al. The comparing options for management: PAtient-centered REsults for uterine fibroids (COMPARE-UF) registry: rationale and design. Am J Obstet Gynecol. 2018;219(1):95e91–95e10.
Google Scholar
Wise LA, Thomas L, Anderson S, Baird DD, Anchan RM, Terry KL, Marsh EE, Wegienka G, Nicholson WK, Wallace K, et al. Route of myomectomy and fertility: a prospective cohort study. Fertil Steril. 2022;117(5):1083–93.
Google Scholar
Goldstein SR, Horii SC, Snyder JR, Raghavendra BN, Subramanyam B. Estimation of nongravid uterine volume based on a nomogram of gravid uterine volume: its value in gynecologic uterine abnormalities. Obstet Gynecol. 1988;72(1):86–90.
Google Scholar
Maroko AR, Doan TM, Arno PS, Hubel M, Yi S, Viola D. Integrating Social Determinants of Health with Treatment and Prevention: a New Tool to assess local Area Deprivation. Prev Chronic Dis. 2016;13:E128.
Google Scholar
Singh GK. Area Deprivation and Widening inequalities in US Mortality, 1969–1998. Am J Public Health. 2003;93(7):1137–43.
Google Scholar
Krieger N, Chen JT, Waterman PD, Soobader MJ, Subramanian SV, Carson R. Geocoding and monitoring of US socioeconomic inequalities in mortality and cancer incidence: does the choice of area-based measure and geographic level matter? The Public Health Disparities Geocoding Project. Am J Epidemiol. 2002;156(5):471–82.
Google Scholar
Lòpez-De Fede A, Stewart JE, Hardin JW, Mayfield-Smith K. Comparison of small-area deprivation measures as predictors of chronic Disease burden in a low-income population. Int J Equity Health. 2016;15:89.
Google Scholar
Institute ESR. ESRI 2011. ArcGIS Desktop: Release 10. Redlands, CA: Environmental Systems Research Institute. In: ArcGIS Desktop vol. Release 10. Redlands, CA; 2011.
Mansournia MA, Nazemipour M, Naimi AI, Collins GS, Campbell MJ. Reflection on modern methods: demystifying robust standard errors for epidemiologists. Int J Epidemiol. 2021;50(1):346–51.
Google Scholar
StataCorp. Stata Statistical Software: Release 17. In. College State. TX: StataCorp LLC; 2021.
Prusinski L, Al-Hendy A, Yang Q. Developmental exposure to endocrine disrupting chemicals alters the epigenome: identification of reprogrammed targets. Gynecol Obstet Res. 2016;3(1):1–6.
Google Scholar
Yang Q, Ali M, Treviño LS, Mas A, Al-Hendy A. Developmental reprogramming of myometrial stem cells by endocrine disruptor linking to risk of uterine fibroids. Cell Mol Life Sci. 2023;80(9):274.
Google Scholar
Bariani MV, Rangaswamy R, Siblini H, Yang Q, Al-Hendy A, Zota AR. The role of endocrine-disrupting chemicals in uterine fibroid pathogenesis. Curr Opin Endocrinol Diabetes Obes. 2020;27(6):380–7.
Google Scholar
Yang Q, Diamond MP, Al-Hendy A. Early life adverse environmental exposures increase the risk of Uterine Fibroid Development: role of epigenetic regulation. Front Pharmacol. 2016;7:40.
Google Scholar
Cao T, Jiang Y, Wang Z, Zhang N, Al-Hendy A, Mamillapalli R, Kallen AN, Kodaman P, Taylor HS, Li D, et al. H19 lncRNA identified as a master regulator of genes that drive uterine leiomyomas. Oncogene. 2019;38(27):5356–66.
Google Scholar
Navarro A, Yin P, Ono M, Monsivais D, Moravek MB, Coon JSt, Dyson MT, Wei JJ, Bulun SE. 5-Hydroxymethylcytosine promotes proliferation of human uterine leiomyoma: a biological link to a new epigenetic modification in benign tumors. J Clin Endocrinol Metab. 2014;99(11):E2437–2445.
Google Scholar
Navarro A, Yin P, Monsivais D, Lin SM, Du P, Wei JJ, Bulun SE. Genome-wide DNA methylation indicates silencing of Tumor suppressor genes in uterine leiomyoma. PLoS ONE. 2012;7(3):e33284.
Google Scholar
Ruiz D, Becerra M, Jagai JS, Ard K, Sargis RM. Disparities in environmental exposures to endocrine-disrupting chemicals and Diabetes risk in vulnerable populations. Diabetes Care. 2018;41(1):193–205.
Google Scholar
Canales AI. Inclusion and segregation: the incorporation of latin American immigrants into the US labor market. Latin Am Perspect. 2007;34(1):73–82.
Google Scholar
Massey DS, Denton NA. American apartheid: Segregation and the making of the underclass. In: Social Stratification, Class, Race, and Gender in Sociological Perspective, Second Edition edn.: Routledge; 2019: 660–670.
Ard K. By all measures: an examination of the relationship between segregation and health risk from air pollution. Popul Environ. 2016;38(1):1–20.
Google Scholar
Ard K. Trends in exposure to industrial air toxins for different racial and socioeconomic groups: a spatial and temporal examination of environmental inequality in the U.S. from 1995 to 2004. Soc Sci Res. 2015;53:375–90.
Google Scholar
Chi G, Parisi D. Highway expansion effects on urban racial redistribution in the post—civil rights period. Public Works Management & Policy. 2011;16(1):40–58.
Google Scholar
Chen C, Weider K, Konopka K, Danis M. Incorporation of socioeconomic status indicators into policies for the meaningful use of electronic health records. J Health Care Poor Underserved. 2014;25(1):1–16.
Google Scholar
Katsumori T, Nakajima K, Mihara T. Is a large fibroid a high-risk factor for uterine artery embolization? AJR Am J Roentgenol. 2003;181(5):1309–14.
Google Scholar
Zagami P, Carey LA. Triple negative Breast cancer: pitfalls and progress. NPJ Breast Cancer. 2022;8(1):95.
Google Scholar
Aviki EM, Manning-Geist BL, Sokolowski SS, Newman T, Blinder VS, Chino F, Doyle SM, Liebhaber A, Gordhandas SB, Brown CL et al. Risk factors for financial toxicity in patients with gynecologic cancer. Am J Obstet Gynecol 2022, 226(6):817.e811-817.e819.
Politi MC, Yen RW, Elwyn G, O’Malley AJ, Saunders CH, Schubbe D, Forcino R, Durand MA. Women who are Young, Non-white, and with Lower Socioeconomic Status Report Higher Financial Toxicity up to 1 year after Breast Cancer Surgery: a mixed-effects Regression Analysis. Oncologist. 2021;26(1):e142–52.
Google Scholar
Luningham JM, Seth G, Saini G, Bhattarai S, Awan S, Collin LJ, Swahn MH, Dai D, Gogineni K, Subhedar P, et al. Association of race and area deprivation with Breast Cancer Survival among Black and White women in the state of Georgia. JAMA Netw Open. 2022;5(10):e2238183.
Google Scholar
Bevan GH, Nasir K, Rajagopalan S, Al-Kindi S. Socioeconomic deprivation and premature Cardiovascular Mortality in the United States. Mayo Clin Proc. 2022;97(6):1108–13.
Google Scholar
Howe CJ, Bailey ZD, Raifman JR, Jackson JW. Recommendations for using Causal diagrams to study racial Health disparities. Am J Epidemiol. 2022;191(12):1981–9.
Google Scholar
