scholarly journals Inequities in the Geographic Accessibility of COVID-19 Biomedical Therapeutic Trials in the United States

Author(s):  
Rohan Khazanchi ◽  
Samuel D. Powers ◽  
Elizabeth T. Rogawski McQuade ◽  
Kathleen A. McManus
Author(s):  
Catherine C. Pollack ◽  
Tracy Onega ◽  
Jennifer A. Emond ◽  
Soroush Vosoughi ◽  
A. James O’Malley ◽  
...  

1998 ◽  
Vol 1 (6) ◽  
pp. 550-561 ◽  
Author(s):  
Stephen J. Qualman ◽  
Cheryl M. Coffin ◽  
William A. Newton ◽  
Hiroshi Hojo ◽  
Timothy J. Triche ◽  
...  

Rhabdomyosarcoma (RMS) is the most common soft tissue sarcoma of childhood, and 75% of such cases in the United States are reviewed at the Pathology Center for the Intergroup Rhabdomyosarcoma Study Group (IRSG). The first four generations of IRSG therapeutic trials (IRS I–IV) and supportive pathologic studies have generated a new International Classification of Rhabdomyosarcoma (ICR) that offers new morphologic concepts to the practicing pathologist. The objective of this report is to clearly define emerging histopathologic categories of RMS as defined by the ICR, and to emphasize correlative immunohistochemical or molecular studies. Emerging ICR variants of RMS place the patient in widely divergent prognostic categories (superior, botryoid or spindle cell variants; poor, solid alveolar or diffusely anaplastic variants). The cardinal histopathologic features of the ICR combined with results of studies of fusion genes seen with t(1;13) and t(2;13) will help delineate therapeutic subgroups of RMS for the fifth generation (IRS V) of IRSG studies. Consequently, it is imperative for the practicing pathologist to be familiar with the practical workup and diagnosis of RMS in childhood.


2020 ◽  
Vol 3 (3) ◽  
pp. 01-04
Author(s):  
Pankaj Bansal

The novel coronavirus was first discovered and reported in December 2019. Later termed the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-COv-2) virus, rapid spread was detected in China. Overtime, SARS-COv-2 spread to various other countries requiring swift intervention on a global scale. As infection spread, several therapeutics have been investigated for Coronavirus Disease- 2019 (COVID-19), including remdesivir, lopinavir/ritonavir, hydroxychloroquine, dexamethasone, etc. Furthermore, rapid investigation and construction of several potential vaccines have begun, some of which are in late stage testing. We present a concise timeline representing the evolution of COVID-19, therapeutic trials, and vaccine development. Ultimately, evident by the overall poor efficacy of several medications investigated so far, vaccination success remains the most likely effective step to combat COVID-19.


AIDS ◽  
1994 ◽  
Vol 8 (Supplement 4) ◽  
pp. S15 ◽  
Author(s):  
W. D. Hardy ◽  
S. Bozzette ◽  
S. Safrin ◽  
J. Black ◽  
C. Farthing ◽  
...  

2020 ◽  
Author(s):  
Benjamin Rader ◽  
Christina M. Astley ◽  
Karla Therese L. Sy ◽  
Kara Sewalk ◽  
Yulin Hswen ◽  
...  

AbstractImportanceAccess to testing is key to a successful response to the COVID-19 pandemic.ObjectiveTo determine the geographic accessibility to SARS-CoV-2 testing sites in the United States, as quantified by travel time.DesignCross-sectional analysis of SARS-CoV-2 testing sites as of April 7, 2020 in relation to travel time.SettingUnited States COVID-19 pandemic.ParticipantsThe United States, including the 48 contiguous states and the District of Columbia.ExposuresPopulation density, percent minority, percent uninsured, and median income by county from the 2018 American Community Survey demographic data.Main OutcomeSARS-CoV-2 testing sites identified in two national databases (Carbon Health and CodersAgainstCovid), geocoded by address. Median county 1 km2 gridded friction surface of travel times, as a measure of geographic accessibility to SARS-CoV-2 testing sites.Results6,236 unique SARS-CoV-2 testing sites in 3,108 United States counties were identified. Thirty percent of the U.S. population live in a county (N = 1,920) with a median travel time over 20 minutes. This was geographically heterogeneous; 86% of the Mountain division population versus 5% of the Middle Atlantic population lived in counties with median travel times over 20 min. Generalized Linear Models showed population density, percent minority, percent uninsured and median income were predictors of median travel time to testing sites. For example, higher percent uninsured was associated with longer travel time (β = 0.41 min/percent, 95% confidence interval 0.3-0.53, p = 1.2×10−12), adjusting for population density.Conclusions and RelevanceGeographic accessibility to SARS-Cov-2 testing sites is reduced in counties with lower population density and higher percent of minority and uninsured, which are also risk factors for worse healthcare access and outcomes. Geographic barriers to SARS-Cov-2 testing may exacerbate health inequalities and bias county-specific transmission estimates. Geographic accessibility should be considered when planning the location of future testing sites and interpreting epidemiological data.Key PointsSARS-CoV-2 testing sites are distributed unevenly in the US geography and population.Median county-level travel time to SARS-CoV-2 testing sites is longer in less densely populated areas, and in areas with a higher percentage of minority or uninsured populations.Improved geographic accessibility to testing sites is imperative to manage the COVID-19 pandemic in the United States.


2015 ◽  
Vol 175 (2) ◽  
pp. 293 ◽  
Author(s):  
Matthew D. Galsky ◽  
Kristian D. Stensland ◽  
Russell B. McBride ◽  
Asma Latif ◽  
Erin Moshier ◽  
...  

Author(s):  
A. Hakam ◽  
J.T. Gau ◽  
M.L. Grove ◽  
B.A. Evans ◽  
M. Shuman ◽  
...  

Prostate adenocarcinoma is the most common malignant tumor of men in the United States and is the third leading cause of death in men. Despite attempts at early detection, there will be 244,000 new cases and 44,000 deaths from the disease in the United States in 1995. Therapeutic progress against this disease is hindered by an incomplete understanding of prostate epithelial cell biology, the availability of human tissues for in vitro experimentation, slow dissemination of information between prostate cancer research teams and the increasing pressure to “ stretch” research dollars at the same time staff reductions are occurring.To meet these challenges, we have used the correlative microscopy (CM) and client/server (C/S) computing to increase productivity while decreasing costs. Critical elements of our program are as follows:1) Establishing the Western Pennsylvania Genitourinary (GU) Tissue Bank which includes >100 prostates from patients with prostate adenocarcinoma as well as >20 normal prostates from transplant organ donors.


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