Background Equity, diversity, and inclusion remain a challenge in the healthcare workforce. This study explored the current gender and racial/ethnic trends in academic pediatric positions across the United States. Methodology The pediatric faculty self-reported data by the American Association of Medical Colleges (AAMC) Faculty Roster from 2007 to 2020 were analyzed. The races were classified as White (non-Hispanic), Asian, Hispanic, Black (non-Hispanic), Multiple races (including both non-Hispanic and Hispanic), Others, and Unknown. Gender was categorized as male and female. Results The results showed that Asian, Black (non-Hispanic), and Hispanic academic pediatricians increased in full professor, associate professor, and assistant professor positions and decreased in instructor positions from 2007 to 2020. Black (non-Hispanic) academic pediatricians relatively decreased 5.5% in chairperson positions. Women increased in full professor, associate professor, instructor, and chairperson positions; however, relatively decreased 1.8% in assistant professor positions. Men and White (non-Hispanic) academic pediatricians relatively decreased 10.5% and 16%, respectively, in all academic ranks. Women, Asian, Black (non-Hispanic), Hispanic, and Other races were underrepresented in tenured, on-track (tenure-eligible), and not-on-track (tenure-eligible) positions. Conclusions Women and underrepresented minorities in medicine (URiM) physicians continue to remain significantly underrepresented in academic pediatric faculty positions and tenured track positions. There is a dire need to adapt multifaceted strategies to increase the engagement of women and URiM in academic pediatrics.
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http://dx.doi.org/10.7759/cureus.22518 | DOI Listing |
Epigenetics
December 2025
Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.
Perceived discrimination, recognized as a chronic psychosocial stressor, has adverse consequences on health. DNA methylation (DNAm) may be a potential mechanism by which stressors get embedded into the human body at the molecular level and subsequently affect health outcomes. However, relatively little is known about the effects of perceived discrimination on DNAm.
View Article and Find Full Text PDFImmunotherapy
January 2025
Department of Surgery, Division of Surgical Oncology, Roger Williams Medical Center, Providence, RI, USA.
Introduction: Significant gains in advanced melanoma have been made through immunotherapy trials. Factors influencing equitable access and survival impact of these novel therapies are not well-defined.
Method: Retrospective analysis using National Cancer Database of patients with advanced stage III and IV melanoma from 2004 to 2021.
BMC Med Inform Decis Mak
January 2025
Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, TN, USA.
Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.
View Article and Find Full Text PDFJ Cyst Fibros
January 2025
Division of Pulmonology and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address:
Background: Highly effective modulator therapies (HEMT) including ivacaftor (IVA) and elexacaftor/tezacaftor/ivacaftor (ETI) have transformed treatment for people with cystic fibrosis (pwCF). However, non-HEMT-responsive mutations are more common in pwCF of non-White race/ethnicity; introduction of HEMT might have exacerbated racial/ethnic disparities in CF care.
Methods: Using the Scientific Registry of Transplant Recipients, we identified all lung transplant candidates and recipients 05/2005-12/2022 and categorized them by diagnosis (CF/non-CF), race/ethnicity (non-Hispanic White/Black/Hispanic) and era [Pre-HEMT (2005-1/30/2012), IVA (1/31/2012-10/30/2019), ETI (10/31/2019-12/31/2022)].
Diabetes Care
January 2025
Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ.
Objective: We derive and validate D-RISK, an electronic health record (EHR)-driven risk score to optimize and facilitate screening for undiagnosed dysglycemia (prediabetes + diabetes) in clinical practice.
Research Design And Methods: We used retrospective EHR data (derivation sample) and a prospective diabetes screening study (validation sample) to develop D-RISK. Logistic regression with backward selection was used to predict dysglycemia (HbA1c ≥5.
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