Annals of internal medicine
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Review
Cardiovascular Disease Among Transgender Adults Receiving Hormone Therapy: A Narrative Review.
Recent reports estimate that 0.6% of adults in the United States, or approximately 1.4 million persons, identify as transgender. Despite gains in rights and media attention, the reality is that transgender persons experience health disparities, and a dearth of research and evidence-based guidelines remains regarding their specific health needs. The lack of research to characterize cardiovascular disease (CVD) and CVD risk factors in transgender populations receiving cross-sex hormone therapy (CSHT) limits appropriate primary and specialty care. ⋯ For transgender women, CSHT has known thromboembolic risk, and lower-dose transdermal estrogen formulations are preferred over high-dose oral formulations. In addition, many studies of transgender adults focus predominantly on younger persons, limiting the generalizability of CSHT in older transgender adults. The lack of randomized controlled trials comparing various routes and formulations of CSHT, as well as the paucity of prospective cohort studies, limits knowledge of any associations between CSHT and CVD.
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Multicenter Study
Continued Statin Prescriptions After Adverse Reactions and Patient Outcomes: A Cohort Study.
Many patients discontinue statin treatment, often after having a possible adverse reaction. The risks and benefits of continued statin therapy after an adverse reaction are not known. ⋯ Chinese National Key Program of Clinical Science, National Natural Science Foundation of China, and Young Scientific Research Fund of Peking Union Medical College Hospital.
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Sensitivity analysis is useful in assessing how robust an association is to potential unmeasured or uncontrolled confounding. This article introduces a new measure called the "E-value," which is related to the evidence for causality in observational studies that are potentially subject to confounding. The E-value is defined as the minimum strength of association, on the risk ratio scale, that an unmeasured confounder would need to have with both the treatment and the outcome to fully explain away a specific treatment-outcome association, conditional on the measured covariates. ⋯ The authors propose that in all observational studies intended to produce evidence for causality, the E-value be reported or some other sensitivity analysis be used. They suggest calculating the E-value for both the observed association estimate (after adjustments for measured confounders) and the limit of the confidence interval closest to the null. If this were to become standard practice, the ability of the scientific community to assess evidence from observational studies would improve considerably, and ultimately, science would be strengthened.
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Osteoporosis is a common systemic skeletal disorder resulting in bone fragility and increased fracture risk. However, management of osteoporosis and fracture prevention strategies are often not addressed by primary care clinicians, even in older patients with recent fractures. Evidence-based screening strategies will improve identification of patients who are most likely to benefit from drug treatment to prevent fracture. In addition, careful consideration of when pharmacotherapy should be started and choice of medication and duration of treatment will maximize the benefits of fracture prevention while minimizing potential harms of long-term drug exposure.