Publications by authors named "Sobel M"

Article Synopsis
  • - The study aimed to assess how common undiagnosed iron deficiency is among women with endometriosis, finding that 53.4% had some form of iron deficiency and 13.5% had iron deficiency anemia.
  • - It was observed that women with iron deficiency were more likely to experience heavy menstrual bleeding (HMB), but a significant portion without HMB were still iron deficient.
  • - The findings suggest that iron deficiency is often overlooked in these patients, indicating a need for further research on the potential benefits of iron therapy for improving symptoms and health.
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Arsenic is a ubiquitous toxic metalloid causing serious health problems. Speciation analysis of arsenic in human urine provides valuable insights for large-scale epidemiological studies and informs on sources of exposure as well as human metabolism. The Multi-Ethnic Study of Atherosclerosis (MESA) is a valuable cohort for assessing chronic low-moderate arsenic exposure and health effects in an ethnically diverse US population.

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Background: American Indian populations have experienced marked disparities in respiratory disease burden. Extracellular vesicle-encapsulated microRNAs (EV-miRNAs) are a novel class of biomarkers that may improve recognition of lung damage in indigenous populations in the United States.

Research Question: Are plasma EV-miRNAs viable biomarkers of respiratory health in American Indian populations?

Study Design And Methods: The Strong Heart Study is a prospective cohort study that enrolled American Indian patients aged 45 to 74 years.

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Background: Marijuana is the third most used drug in the world.

Objectives: Because the cannabis plant is a known scavenger of metals, we hypothesized that individuals who use marijuana will have higher metal biomarker levels compared with those who do not use.

Methods: We combined data from the National Health and Nutrition Examination Survey (2005-2018) for participants, classified by use: non-marijuana/non-tobacco, exclusive marijuana, exclusive tobacco, and dual marijuana and tobacco use.

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Article Synopsis
  • Pregnant individuals are at higher risk for severe COVID-19 outcomes, making it crucial to predict adverse maternal and fetal outcomes for timely clinical intervention.
  • A study created a comprehensive database of 1501 COVID-positive pregnant patients, utilizing various data points to train machine learning models aimed at predicting critical health risks.
  • The Random Forest model outperformed others, successfully identifying high-risk patients with 83.3% sensitivity and achieving an overall accuracy of 89%, utilizing 25 key features related to patient health and symptoms.
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Purpose Of Review: Biomarkers are commonly used in epidemiological studies to assess metals and metalloid exposure and estimate internal dose, as they integrate multiple sources and routes of exposure. Researchers are increasingly using multi-metal panels and innovative statistical methods to understand how exposure to real-world metal mixtures affects human health. Metals have both common and unique sources and routes of exposure, as well as biotransformation and elimination pathways.

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Objectif: Décrire les pratiques actuelles fondées sur des données probantes pour le diagnostic et la prise en charge de l'adénomyose.

Population Cible: Toutes les patientes en âge de procréer qui ont un utérus.

Options: Les options diagnostiques sont l'échographie endovaginale et l'imagerie par résonance magnétique.

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Objective: To describe the current evidence-based diagnosis and management of adenomyosis.

Target Population: All patients with a uterus of reproductive age.

Options: Diagnostic options include transvaginal sonography and magnetic resonance imaging.

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Article Synopsis
  • Surgical training programs are exploring video-based assessment (VBA) to evaluate residents' technical skills, aiming to reduce interpersonal bias in evaluations.
  • A qualitative study interviewed 9 participants from the University of Toronto's Department of Obstetrics and Gynecology, identifying four main themes related to the benefits, feedback roles, challenges, and implementation of VBA.
  • Both trainees and faculty see VBA as valuable for equitable assessment and feedback but agree it should complement other methods rather than serve as the sole evaluation tool.
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Peripartum cardiomyopathy is the development of heart failure toward the end of pregnancy or in the months after delivery in the absence of other attributable causes, with left ventricular systolic dysfunction and a left ventricular ejection fraction (LVEF) generally <45%. Given that patients are relatively young at the time of diagnosis, this study was performed to summarize current evidence surrounding the long-term cardiac outcomes. MEDLINE, Embase, Cochrane CENTRAL, and CINAHL were searched for original studies that reported long-term (>1 year) patient outcomes.

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We discuss hypotheses researchers have put forth to explain how outcomes of socially mobile and immobile individuals might differ and/or how mobility experiences are related to outcomes of interest. Next, we examine the methodological literature on this topic, culminating in the development of the diagonal mobility model (DMM, also called the diagonal reference model in some studies), the primary tool of use since the 1980's. We then discuss some of the many applications of the DMM.

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Objective: To use the Morphological Uterus Sonographic Assessment (MUSA) criteria to evaluate the impact of adenomyosis on the live birth rate after donor egg embryo transfer.

Design: Retrospective cohort study.

Setting: Tertiary fertility care center.

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Background: Reproductive decision-making is difficult for BRCA-positive women. Our objective was to assess the complexities of decision-making and identify decisional supports for patients and providers when discussing reproductive options prior to risk-reducing salpingo-oophorectomy (RRSO).

Methods: This study was of qualitive design, using data collection via semi-structured interviews conducted from November 2018 to October 2020.

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