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Introduction: Surgery remains the primary treatment for patients with esophageal cancer (EC), yet postoperative prognosis is often unsatisfactory. Accurate prediction of cancer-specific survival (CSS) can assist clinicians in personalized treatment planning. This study aimed to develop an interactive web-based tool to estimate CSS in patients with T1~3N0~2M0 EC after surgery, based on the log odds of negative lymph nodes/T stage ratio (LONT).
Methods: A total of 2,221 patients with T1~3N0~2M0 EC were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomly divided into training and testing sets. Univariate Cox regression analysis was conducted to identify factors associated with CSS. Cox regression and random survival forest (RSF) models were used to compare the predictive performance of LONT and N stage. Model performance was evaluated using receiver operating characteristic (ROC) curves, decision curve analysis (DCA), and calibration curves. An interactive web-based tool was then constructed for individualized survival prediction.
Results: Univariate analysis revealed that age, sex, T stage, N stage, chemotherapy, and LONT were significantly associated with CSS. ROC curve comparisons showed that LONT outperformed N stage in predictive accuracy, particularly for 1-year CSS. DCA and calibration curves indicated that the model had high predictive accuracy in both training and testing sets.
Discussion: The developed interactive web-based tool provides effective estimation of 1-, 3-, and 5-year CSS, as well as survival trends, in postoperative patients with T1~3N0~2M0 EC. This tool may aid clinical decision-making by enabling more accurate individualized prognosis prediction.
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http://dx.doi.org/10.3389/fonc.2025.1619106 | DOI Listing |
Paediatr Child Health
August 2025
Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada.
Although there is growing knowledge surrounding the value of involving patients and families in pediatrics residency training, based on a web-based survey of program directors (PDs) in Departments of Pediatrics across Canada, only 42% reported engaging patients and families in their formal residency curriculum. However, all respondents acknowledged the value of partnering with patients and families. Given this, we developed an educational intervention in partnership with our local Family Advisory Council members, that allows for (a) family voices to be heard and incorporated, and (b) direct interaction and conversation between families and pediatric residents.
View Article and Find Full Text PDFPLoS One
September 2025
Biology Department, Reed College, Portland, Oregon, United States of America.
Molecular interaction networks are a vital tool for studying biological systems. While many tools exist that visualize a protein or a pathway within a network, no tool provides the ability for a researcher to consider a protein's position in a network in the context of a specific biological process or pathway. We developed ProteinWeaver, a web-based tool designed to visualize and analyze non-human protein interaction networks by integrating known biological functions.
View Article and Find Full Text PDFThis study developed a GeoGebra platform-based interactive pedagogical tool focusing on plate theory to address challenges associated with abstract theory transmission, unidirectional knowledge delivery, and low student engagement in chromatography teaching in instrumental analysis courses. This study introduced an innovative methodology that encompasses theoretical model reconstruction, tool development, and teaching-chain integration that addresses the limitations of existing teaching tools, including the complex operation of professional software, restricted accessibility to web-based tools, and insufficient parameter-adjustment flexibility. An improved mathematical plate-theory model was established by incorporating mobile-phase flow rate, dead time, and phase ratio parameters.
View Article and Find Full Text PDFFront Oncol
August 2025
Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Introduction: Surgery remains the primary treatment for patients with esophageal cancer (EC), yet postoperative prognosis is often unsatisfactory. Accurate prediction of cancer-specific survival (CSS) can assist clinicians in personalized treatment planning. This study aimed to develop an interactive web-based tool to estimate CSS in patients with T1~3N0~2M0 EC after surgery, based on the log odds of negative lymph nodes/T stage ratio (LONT).
View Article and Find Full Text PDFJMIR Hum Factors
September 2025
Institute of Digital Medicine, Philipps-University and University Hospital of Giessen and Marburg, Marburg, Germany.
Background: The rapid expansion of telehealth underscores the need for comprehensive telehealth education among health care professionals. Despite increasing recognition of telehealth's importance, many practitioners remain underprepared, particularly in navigating legal aspects, technology, and patient engagement.
Objective: This study aimed to evaluate the impact of a web-based telehealth training course on health care professionals' telehealth acceptance and their perceived barriers to telehealth adoption.