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2 citation(s) found for "Vaughan, Roger".

Methods for building a staff workforce of quantitative scientists in academic health care
Peskoe, Sarah B. , Slade, Emily , Rende, Lacey , Boulos, Mary , Desai, Manisha , Gandhi, Mihir , Gelfond, Jonathan , Khalatbari, Shokoufeh , Schulte, Phillip J. , Taylor, Sandra L. , Peskoe, Sarah , Troy, Jesse D , Pomann, Gina-Maria , Desai, Manisha , Snyder, Denise Clutter , Vaughan, Roger

Mayo Clinic

Stat | May 6, 2024 | Volume: 13 | Issue: 2 | Pages: No page available

10.1002/sta4.683 | PMID 39176389 Get It

Collaborative quantitative scientists, including biostatisticians, epidemiologists, bioinformaticists, and data‐related professionals, play vital roles in research, from study design to data analysis and dissemination. It is imperative that academic health care centers (AHCs) establish an environment that provides opportunities for the quantitative scientists who are hired as staff to develop and advance their careers. With the rapid growth of clinical and translational research, AHCs are charged with establishing organizational methods, training tools, best practices, and guidelines to accelerate and support hiring, training, and retaining this staff workforce. This paper describes three essential elements for building and maintaining a successful unit of collaborative staff quantitative scientists in academic health care centers: (1) organizational infrastructure and management, (2) recruitment, and (3) career development and retention. Specific strategies are provided as examples of how AHCs can excel in these areas.
Clinical and demographic predictors of survival for fibrolamellar carcinoma patients—A patient community, registry‐based study
Berkovitz, Amichai, Migler, Rachael D. , Qureshi, Adam , Rosemore, Carly, Vaughan, Roger , Marcotte, Erin L. , Simon, Sanford M. , Simon, Sanford M , Migler, Rachael D , Torbenson, Michael , Vaughan, Roger

Mayo Clinic

Hepatology Communications | October 17, 2022 | Volume: 6 | Issue: 12 | Pages: 3539-3549

10.1002/hep4.2105 | PMID 36245434 Get It

Abstract Fibrolamellar hepatocellular carcinoma (FLC) is a rare primary liver cancer that affects primarily adolescents and young adults. It is associated with a poor overall prognosis. There is a need to better define risk factors, but small sample size has limited such studies. An FLC patient registry now provides data sufficient for statistically robust inferences. We leveraged a unique patient community–based FLC registry to analyze the prognostic impact of demographic and clinical characteristics evident at diagnosis. Variables were analyzed using Cox proportional hazards regression to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). In multivariable models of 149 patients (88 females and 61 males), female gender was associated with statistically significant improved survival with HR of 0.52 (95% CI 0.29–0.93). Factors evident at diagnosis that are associated with worse survival included the presence of 10 or more tumors within the liver (HR 7.1; 95% CI 2.4–21.04), and metastases at diagnosis (HR 2.17; 95% CI 1.19–3.94). Positive lymph nodes at diagnosis, despite being found significantly associated with worse survival in a univariate analysis, did not remain significant when adjusted for covariates in a multivariable analysis. We found no statistically significant effect of age at diagnosis nor tumor size at diagnosis on survival. Female gender may confer a favorable prognosis in FLC. Established high‐risk prognostic factors that we confirmed in this Registry included the diagnostic presence of numerous intrahepatic tumors, and metastases. This is the first study derived from a FLC patient community–based registry, and highlights how registries of rare tumors can empower patients to meaningfully advance clinical and scientific discoveries.