Background Understanding the impact of race/ethnicity on the prevalence and presentation of endometriosis may help improve patient care. Objective To review systematically the evidence for the influence of race/ethnicity on the prevalence of endometriosis. Search strategy CENTRAL, MEDLINE, PubMed, Embase, LILACS, SCIELO, and CINAHL databases, as well as the grey literature, were searched from date of inception until September 2017. Selection criteria Randomised control trials and observational studies reporting on prevalence and/or clinical presentation of endometriosis. Data collection and analysis Twenty studies were included in the review and 18 studies were used to calculate odds ratio (OR) with 95% confidence interval (CI) through a random effects model. Methodological quality was assessed using the Newcastle‐Ottawa risk of bias scale (NOS). Main results Compared with White women, Black woman were less likely to be diagnosed with endometriosis (OR 0.49, 95% CI 0.29–0.83), whereas Asian women were more likely to have this diagnosis (OR 1.63, 95% CI 1.03–2.58). Compared with White women, there was a statistically significant difference in likelihood of endometriosis diagnosis in Hispanic women (OR 0.46, 95% CI 0.14–1.50). Significant heterogeneity (I2 > 50%) was present in the analysis for all racial/ethnic groups but was partially reduced in subgroup analysis by clinical presentation, particularly when endometriosis was diagnosed as self‐reported, Conclusions Prevalence of endometriosis appears to be influenced by race/ethnicity. Most notably, Black women appear less likely to be diagnosed with endometriosis compared with White women. There is scarce literature exploring the influence of race/ethnicity on symptomatology, as well as treatment access, preference, and response. Tweetable abstract Prevalence of endometriosis may be influenced by race/ethnicity, but there is limited quality literature exploring this topic.
BACKGROUND Although surgery for endometriosis can improve pain and fertility, the risk of disease recurrence is high. There is little consensus regarding the benefit of medical therapy in preventing recurrence of endometriosis following surgery. OBJECTIVE AND RATIONALE We performed a review of prospective observational studies and randomised controlled trials (RCTs) to evaluate the risk of endometriosis recurrence in patients undergoing post-operative hormonal suppression, compared to placebo/expectant management. SEARCH METHODS The following databases were searched from inception to March 2020 for RCTs and prospective observational cohort studies: MEDLINE, Embase, Cochrane CENTRAL and Web of Science. We included English language full-text articles of pre-menopausal women undergoing conservative surgery (conserving at least one ovary) and initiating hormonal suppression within 6 weeks post-operatively with either combined hormonal contraceptives (CHC), progestins, androgens, levonorgesterel-releasing intra-uterine system (LNG-IUS) or GnRH agonist or antagonist. We excluded from the final analysis studies with <12 months of follow-up, interventions of diagnostic laparoscopy, experimental/non-hormonal treatments or combined hormonal therapy. Risk of bias was assessed using the Cochrane Risk of Bias Tool for RCTs and the Newcastle-Ottawa Scale (NOS) for observational studies. OUTCOMES We included 17 studies (13 RCTs and 4 cohort studies), with 2137 patients (1189 receiving post-operative suppression and 948 controls), which evaluated various agents: CHC (6 studies, n = 869), progestin (3 studies, n = 183), LNG-IUS (2 studies, n = 94) and GnRH agonist (9 studies, n = 1237). The primary outcome was post-operative endometriosis recurrence, determined by imaging or recurrence of symptoms, at least 12 months post-operatively. The secondary outcome was change in endometriosis-related pain. Mean follow up of included studies ranged from 12 to 36 months, and outcomes were assessed at a median of 18 months. There was a significantly decreased risk of endometriosis recurrence in patients receiving post-operative hormonal suppression compared to expectant management/placebo (relative risk (RR) 0.41, 95% CI: 0.26 to 0.65), 14 studies, 1766 patients, I2 = 68%, random effects model). Subgroup analysis on patients treated with CHC and LNG-IUS as well as sensitivity analyses limited to RCTs and high-quality studies showed a consistent decreased risk of endometriosis recurrence. Additionally, the patients receiving post-operative hormonal suppression had significantly lower pain scores compared to controls (SMD −0.49, 95% CI: −0.91 to −0.07, 7 studies, 652 patients, I2 = 68%). WIDER IMPLICATIONS Hormonal suppression should be considered for patients not seeking pregnancy immediately after endometriosis surgery in order to reduce disease recurrence and pain. Various hormonal agents have been shown to be effective, and the exact treatment choice should be individualised according to each woman’s needs.
Individuals who carry an inherited mutation in the breast cancer 1 (BRCA1) and BRCA2 genes have a significant risk of developing breast and ovarian cancer over the course of their lifetime. As a result, there are important considerations for the clinician in the counseling, followup and management of mutation carriers. This review outlines salient aspects in the approach to patients at high risk of developing breast and ovarian cancer, including criteria for genetic testing, screening guidelines, surgical prophylaxis, and chemoprevention.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.