Publications by authors named "R Burkhart"
We present, to our knowledge, the first methodological study aimed at enhancing the prognostic power of Cox regression models, widely used in survival analysis, through optimized data selection. Our approach employs a novel two-stage mechanism: by framing the prognostic stratum matching problem intuitively, we select prognostically representative patient observations to create a more balanced training set. This enables the model to assign equal attention to distinct prognostic subgroups.
View Article and Find Full Text PDFIntroduction: The popularization of generative artificial intelligence (AI), including Chat Generative Pre-trained Transformer (ChatGPT), has raised concerns for the integrity of academic literature. This study asked the following questions: (1) Has the popularization of publicly available generative AI, such as ChatGPT, increased the prevalence of AI-generated orthopaedic literature? (2) Can AI detectors accurately identify ChatGPT-generated text? (3) Are there associations between article characteristics and the likelihood that it was AI generated?
Methods: PubMed was searched across six major orthopaedic journals to identify articles received for publication after January 1, 2023. Two hundred and forty articles were randomly selected and entered into three popular AI detectors.
Article Synopsis
- The study focuses on pancreatic acinar cell carcinoma (pACC), a rare type of pancreatic cancer, highlighting its clinical characteristics, genetic mutations, and patient survival outcomes.
- A total of 61 patients who underwent surgery between 1999 and 2022 were analyzed, showing a median overall survival of 73 months and a recurrence-free survival of 22 months; those with oligometastatic disease had even better outcomes.
- Significant genetic findings included mutations in core genes related to DNA repair pathways in 26% of patients, indicating potential avenues for targeted treatment.
Development of a Composite Score Based on Carbohydrate Antigen 19-9 Dynamics to Predict Survival in Carbohydrate Antigen 19-9-Producing Patients With Pancreatic Ductal Adenocarcinoma After Neoadjuvant Treatment.
JCO Precis Oncol
October 2024
Purpose: Dynamics of carbohydrate antigen 19-9 (CA19-9) often inform treatment decisions during and after neoadjuvant chemotherapy (NAT) of patients with pancreatic ductal adenocarcinoma (PDAC). However, considerable dispute persists regarding the clinical relevance of specific CA19-9 thresholds and dynamics. Therefore, we aimed to define optimal thresholds for CA19-9 values and create a biochemically driven composite score to predict survival in CA19-9-producing patients with PDAC after NAT.
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