Objectives: This study examines the association between antipsychotic (AP) medication use and care transitions in the nursing home (NH) population.
Methods: This cross-sectional study used data from a 5% random sample of Medicare beneficiaries between 2011 and 2015. Propensity score adjusted negative binomial regression was performed and conditional probabilities of having a first transition from the NH to specific locations were calculated.
Background: Prescription drug monitoring programs (PDMPs) have been shown to reduce opioid use in the general and noncancer populations. However, evidence of PDMP impacts on patients with cancer remains limited.
Objective: The aim of the study was to examine the impact of PDMP mandates on individual-level opioid use among patients with cancer.
Approval by the US Food and Drug Administration (FDA) of a drug for a given indication is thought to reassure clinicians, other health care providers, and patients that substantial evidence of effectiveness exists for specific indicated populations (patients and diseases). This study examines whether FDA approval of certain antibiotics should be so reassuring for all patient populations identified in the FDA-approved labels. Specifically, this study compared patient populations covered by FDA-approved labels for 21 novel antibiotics approved between 1999 and 2018 to the patient exclusion and inclusion criteria of pivotal trials that supported those approvals.
View Article and Find Full Text PDFThis cohort study of FDA- and drug sponsor–written communications evaluates the communication of nonefficacy benefits of new drugs approved on the basis of noninferiority trials alone.
View Article and Find Full Text PDFPoster abstracts are evaluated based on the following criteria: significance of the problem to healthy aging or medication management; innovativeness of ideas, methods, and/or approach; methodological rigor of methods and approach; presentation of finding; implications identified for future research, practice, and/or policy; and clarity of writing. Submissions are not evaluated through the peer-reviewed process used by . Industry support is indicated, where applicable.
View Article and Find Full Text PDFBackground: This study aimed to evaluate the influence of hormone receptor (HR) and Ki-67 proliferation markers in predicting the accuracy of magnetic resonance imaging (MRI) for measuring residual tumor size in patients with HER2-negative (HER2(-)) breast cancer receiving neoadjuvant chemotherapy (NAC).
Patients And Methods: Fifty-four women were studied. Patients received AC (doxorubicin (Adriamycin)/cyclophosphamide) and/or taxane-based regimens.
Purpose: To assess how the molecular biomarker status of a breast cancer, including human epidermal growth factor receptor 2 (HER2), hormone receptors, and the proliferation marker Ki-67 status, affects the diagnosis at 3.0-T magnetic resonance (MR) imaging.
Materials And Methods: This study was approved by the institutional review board and was HIPAA compliant.
Purpose: The purpose of this study is to compare the measurements of breast density using three-dimensional (3-D) automated whole breast ultrasound (ABUS) and magnetic resonance imaging (MRI).
Methods: In this study, 3-D ABUS and MRI breast images were obtained from 40 patients-bilaterally in 27 patients and unilaterally (due to operation in the contralateral breast) in 13 patients, To differentiate the fibroglandular and fatty tissues in ABUS and MRI images, the fuzzy C-mean classifier was used. Calculated values for percent density and breast volume from the two modalities were compared to and correlated with linear regression analysis.