Publications by authors named "Cindy T Pau"

Objective: To determine age-based criteria for polycystic ovary morphology.

Design: Cross-sectional, case-control design.

Setting: Outpatient setting.

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Genome-wide association studies and replication analyses have identified (n = 5) or replicated (n = 10) DNA variants associated with risk for polycystic ovary syndrome (PCOS) in European women. However, the causal gene and underlying mechanism for PCOS risk at these loci have not been determined. We hypothesized that analysis of phenotype, gene expression and metformin response as a function of genotype would identify candidate genes and pathways that could provide insight into the underlying mechanism for risk at these loci.

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Aims: Variants in genes encoding metformin transport proteins and the ATM gene are associated with metformin response. We hypothesized that these gene variants contribute to variable metformin treatment response in polycystic ovary syndrome.

Materials & Methods: The discovery cohort (n = 38) was studied in an open-label study.

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Background: Polycystic ovary syndrome (PCOS) is a heterogeneous disorder because of the variable criteria used for diagnosis. Therefore, International Classification of Diseases 9 (ICD-9) codes may not accurately capture the diagnostic criteria necessary for large scale PCOS identification. We hypothesized that use of electronic medical records text and data would more specifically capture PCOS subjects.

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Background: Physicians are expected to serve as role models for healthy lifestyles, but long work hours reduce time for healthy behaviors. A hospital-based physical activity intervention could improve physician health and increase counseling about exercise.

Methods: We conducted a two-phase intervention among 104 medical residents at a large hospital in Boston, Massachusetts.

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Context: Although metformin is widely used to improve insulin resistance in women with polycystic ovary syndrome (PCOS), its mechanism of action is complex, with inconsistent effects on insulin sensitivity and variability in treatment response.

Objective: The aim of the study was to delineate the effect of metformin on glucose and insulin parameters, determine additional treatment outcomes, and predict patients with PCOS who will respond to treatment.

Design And Setting: We conducted an open-label, interventional study at an academic medical center.

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Women with polycystic ovary syndrome (PCOS) are at risk for metabolic syndrome, which may be exacerbated by smoking. We hypothesized that smoking worsens androgen levels and the metabolic profile in women with PCOS. PCOS smokers (n = 47) and non-smokers (n = 64) and control smokers (n = 30) and non-smokers (n = 28), aged 18-45 years, underwent anthropomorphic measurements, pelvic ultrasound and blood sampling.

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