Real‑world Analysis of Healthcare Resource Utilization by Patients With X‑linked Myotubular Myopathy (XLMTM) in the United States
X-linked myotubular myopathy (XLMTM) is a rare, life-threatening congenital myopathy with multisystem involvement, often requiring invasive ventilator support, gastrostomy tube feeding, and wheelchair use. Understanding healthcare resource utilization in patients with XLMTM is important for development of targeted therapies but data are limited.
One-Year Adverse Outcomes Among US Adults With Post–COVID-19 Condition vs Those Without COVID-19 in a Large Commercial Insurance Database
Many experience ongoing symptoms following the onset of COVID-19, characterized as post–COVID-19 condition (PCC). Less is known about long-term outcomes.
Use of large-scale privacy protecting record linkages for data sharing to enhance
The National COVID Cohort Collaborative (N3C) is an open science effort led by the NIH National Center for Advancing Translational Sciences aimed at accelerating COVID-19 research
Excess Deaths for Republicans and Democrats During the COVID-19 Pandemic
Political affiliation has emerged as a potential risk factor for COVID-19, amid evidence that Republican-leaning counties have had higher COVID-19 death rates than Democrat- leaning counties and evidence of a link between political party affiliation and vaccination views.
Cancer Research Needs Better Databases
This year, a study of ten million people revealed the power of longitudinal research. A team mined a vast medical database of US military personnel, including tissue samples and health records collected over 20 years.
Real-World Evidence Primer
To learn from the evolving lessons of addressing the COVID-19 pandemic and to bolster the future use of real-world data (RWD) and real-world evidence (RWE), The FDA Foundation, in collaboration with the International Society for Pharmacoepidemiology (ISPE), created The COVID-19 Real-World Evidence Primer.
Real-World Matching Performance of Deidentified Record-Linking Tokens
Elmer V Bernstam, Reuben Joseph Applegate, Alvin Yu, Deepa Chaudhari, Tian Liu, Alex Coda, Jonah Leshin
Objective: Our objective was to evaluate tokens commonly used by clinical research consortia to aggregate clinical data across institutions.
Impact of overlapping risks of type 2 diabetes and obesity on coronavirus disease severity in the United States
Wataru Ando, Takeshi Horii, Takayuki Uematsu, Hideaki Hanaki, Koichiro Atsuda & Katsuya Otori
The impact of overlapping risk factors on coronavirus disease (COVID-19) severity is unclear. To evaluate the impact of type 2 diabetes (T2D) and obesity on COVID-19 severity, we conducted a cohort study with 28,095 anonymized COVID-19 patients using data from the COVID-19 Research Database from January 1, 2020 to November 30, 2020.
Evaluation of the Association Between Medicare Eligibility and Excess Deaths During the COVID-19 Pandemic in the US
Jacob Wallace, PhD; Anthony Lollo, PhD; Chima D. Ndumele, PhD
In the US, COVID-19 is responsible for hundreds of thousands of excess deaths,1 which has led to considerable interest in strategies to mitigate its impact.
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