Publications by authors named "J Scott Wilkes"

Introduction: While clinical practice guidelines (CPGs) for pediatric oncology infection prophylaxis and management exist, few data describe actual management occurring at pediatric oncology centers.

Methods: An electronic survey querying infection management practices in nontransplant pediatric oncology patients was iteratively created by the Children's Oncology Group (COG) Cancer Control and Supportive Care Infectious Diseases Subcommittee and sent to leaders at all COG institutions, limiting each site to one response to represent their institution.

Results: The response rate was 57% (129/227 institutions).

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Children with cancer or hematopoietic cell transplant (HCT) frequently require ICU care. We conducted a retrospective cohort study using Healthcare Cost and Utilization Project's State Inpatient Databases from 21 U.S.

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Article Synopsis
  • - The study highlights the limited impact of electronic health record (EHR) data on pediatric oncology research due to fewer pediatric cancer cases and challenges in identifying phenotypic cases within EHR data.
  • - ExtractEHR, a software package originally designed for reporting clinical trial adverse events, has been expanded to create comprehensive multisite EHR data sets for pediatric cancer research, enabling automated data extraction across hospitals.
  • - Installations of ExtractEHR have occurred at four major pediatric institutions, and it has been used for various research activities, including clinical epidemiology studies and multicenter trials, with ongoing efforts to enhance its capabilities for sustainability and interoperability.
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Introduction: Women with obesity are less likely to participate in mammographic screening and more likely to develop post-menopausal breast cancer. We describe the co-production of a novel training intervention for breast screening staff, targeting obesity-related barriers to participating in a population-based mammographic screening.

Methods: A Stakeholder Consultant Group (SCG) was established to guide the co-production process.

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Most epidemiological studies in pediatric heart failure (HF) use administrative database sources, defining patient cohorts by presence of a single HF ICD code. However, the ability of ICD codes to identify true HF patients is unknown in pediatrics. Here we describe the accuracy of HF ICD-10-CM code search algorithms, in identifying pediatric patients with HF from electronic data sources.

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