Publications by authors named "I V TOLSTYKH"

Purpose: Persistent gastrointestinal (GI) symptoms are frequently experienced by colon cancer survivors and may help identify patients with higher utilization of healthcare services. To assess the relationship between GI symptoms and specialty care utilization among colon cancer survivors.

Methods: A prospective longitudinal cohort study at an academic medical center of 126 adults surgically treated for stage I-IV colon cancer between February 2017 and June 2022.

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Background: Adherence to the American Cancer Society (ACS) guidelines of avoiding obesity, maintaining physical activity, and consuming a diet rich in fruits, vegetables, and whole grains is associated with longer survival in colorectal cancer (CRC) survivors. Dietary components of the ACS guidelines may act in part by changing the microbiome, which is implicated in CRC outcomes.

Objectives: We conducted a pilot cross-sectional study to explore associations between ACS guidelines and the gut microbiome.

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Objective: The aim of this work was to report the prevalence of computed tomography (CT)-detected intra-articular mineralization.

Design: We included participants from the Multicenter Osteoarthritis (MOST) Study. At the 12th year visit of the MOST study, bilateral knee CTs were first obtained.

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Objective: Radiographic joint space width (JSW) has been a standard for measuring knee osteoarthritis (OA) structural change. Limitations in the responsiveness of this approach might be overcome by instead measuring 3D JSW on weight-bearing CT (WBCT). This study compared the responsiveness of 3D JSW measurements using WBCT with the responsiveness of radiographic 2D JSW.

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Article Synopsis
  • The study investigates COVID-19 complications in cancer patients, highlighting racial and ethnic disparities in risks associated with the disease.
  • It analyzes a cohort of 303 cancer patients with confirmed SARS-CoV-2 infections, revealing that males and Hispanic/Latinx individuals face higher risks of severe complications.
  • Key clinical symptoms and the presence of multiple co-morbidities were found to significantly predict the occurrence of COVID-19 complications among this diverse population.
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