Publications by authors named "Lisa R Seymour"

Background: Benign breast disease (BBD) increases breast cancer (BC) risk progressively for women diagnosed with non-proliferative (NP) change, proliferative disease without atypia (PDWA), and atypical hyperplasia (AH). Leveraging data from 18,704 women in the Mayo BBD Cohort (1967-2013), we evaluated temporal trends in BBD diagnoses and how they have influenced associated BC risk over four decades.

Methods: BC risk trends associated with BBD were evaluated using standardized incidence ratios (SIRs) and age-period-cohort modeling across four eras-pre-mammogram (1967-1981), pre-core needle biopsy (CNB) (1982-1992), transition to CNB (1993-2001), and CNB era (2002-2013).

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Article Synopsis
  • Hispanic White (HW) females have a lower overall incidence of breast cancer than non-Hispanic White (NHW) females, but their risk after benign breast disease (BBD) is uncertain.
  • A study in New Mexico analyzed characteristics of BBD and subsequent breast cancer risks in HW and NHW females, finding similar proportions in different types of BBD and elevated breast cancer risks for both groups.
  • The findings highlight that breast cancer risks are comparable for HW and NHW females, suggesting that HW females should receive appropriate clinical management based on their assessed risks.
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Objective: To determine whether bipolar spectrum disorder with binge eating behavior (BE) is an important clinical sub-phenotype.

Methods: Prevalence rates and correlates of different levels of BE were assessed in 1114 bipolar spectrum patients participating in a genetic biobank. BE and eating disorders (EDs) were assessed with the Eating Disorder Diagnostic Scale (EDDS).

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Objective: To determine prevalence rates and clinical correlates of current DSM-5 eating disorders in patients with bipolar disorder (BP).

Methods: Prevalence rates of current DSM-5- and DSM-IV-defined binge eating disorder (BED), bulimia nervosa (BN), and anorexia nervosa (AN) were assessed with the Eating Disorder Diagnostic Scale (EDDS) in 1092 patients with BP. Psychiatric illness burden was evaluated with five proxy measures of BP illness severity.

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Objectives: The aim of the present study was to engage a national advocacy group and local stakeholders for guidance in developing a bipolar disorder biobank through a web-based survey and a community advisory board.

Methods: The Depression and Bipolar Support Alliance and the Mayo Clinic Bipolar Biobank conducted a national web-based survey inquiring about interest in participating in a biobank (i.e.

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Background: We aimed to establish a bipolar disorder biobank to serve as a resource for clinical and biomarker studies of disease risk and treatment response. Here, we describe the aims, design, infrastructure, and research uses of the biobank, along with demographics and clinical features of the first participants enrolled.

Methods: Patients were recruited for the Mayo Clinic Bipolar Biobank beginning in July 2009.

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Introduction: Identifying clinical and genetic risk factors associated with antidepressant-induced mania (AIM) may improve individualized treatment strategies for bipolar depression.

Method: From 2009 to 2012, bipolar depressed patients, confirmed by DSM-IV-TR-structured interview, were screened for AIM. An AIM+ case was defined as a manic/hypomanic episode within 60 days of starting or changing dose of antidepressant, while an AIM- control was defined as an adequate (≥ 60 days) exposure to an antidepressant with no associated manic/hypomanic episode.

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Objective: The assessment of response to lithium maintenance treatment in bipolar disorder (BD) is complicated by variable length of treatment, unpredictable clinical course, and often inconsistent compliance. Prospective and retrospective methods of assessment of lithium response have been proposed in the literature. In this study we report the key phenotypic measures of the "Retrospective Criteria of Long-Term Treatment Response in Research Subjects with Bipolar Disorder" scale currently used in the Consortium on Lithium Genetics (ConLiGen) study.

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Background: To explore the relationship between binge eating disorder (BED) and obesity in patients with bipolar disorder (BP).

Methods: 717 patients participating in the Mayo Clinic Bipolar Biobank completed structured diagnostic interviews and questionnaires for demographic and illness-related variables. They also had weight and height measured to determine body mass index (BMI).

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