Background: Some staging systems for gastric cancer (GC) have been developed as alternatives to the 6th and 7th TNM staging systems, including the Hybrid, tumor-ratio-metastasis (TRM), and Kiel staging systems. This study evaluated the overall performance of these systems for GC.
Methods: A total of 540 GC patients undergoing surgical resection were staged using these five systems. Homogeneity, discrimination power, predictive accuracy, and complexity of these systems were compared.
Results: Multivariate analyses showed that all of 7th pT, pN, and pM classifications were independent factors for GC prognosis (P < 0.001 for all). Compared with the other four systems, 7th TNM system had improved stage groups homogeneity (7 of 8 stage groups homogeneous), enhanced discrimination power (4 of 5, 5 of 7, 4 of 7, 3 of 7, and 1 of 4 adjacent stage groups were differentiated by the 6th, 7th TNM, Hybrid, TRM, and Kiel systems, respectively), and better prediction value for GC patients' outcome (AUC = 0.801, P < 0.001). In addition, the 7th TNM system did not increase the staging complexity (9 groups and 21 subgroups).
Conclusions: The 7th TNM staging system represents advancement in GC staging system for better prediction of clinical outcomes.
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http://dx.doi.org/10.1002/jso.23360 | DOI Listing |
Cell Biol Int
January 2025
Laboratory of Leishmaniasis, Department of Parasitology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Leishmaniases affect millions of people around the world, caused by Leishmania parasites. Leishmania are transmitted by female sandflies from Phlebotominae subfamily during their blood meals. In mammals, promastigotes are phagocytosed mainly by macrophages, differentiate into amastigotes and multiply.
View Article and Find Full Text PDFJ Med Econ
January 2025
UNESCO-TWAS, The World Academy of Sciences, Trieste, Italy.
Aim: Dynamic cancer control is a current health system priority, yet methods for achieving it are lacking. This study aims to review the application of system dynamics modeling (SDM) on cancer control and evaluate the research quality.
Methods: Articles were searched in PubMed, Web of Science, and Scopus from the inception of the study to November 15th, 2023.
Exp Biol Med (Maywood)
December 2024
Department of Pediatric Surgery, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Idiopathic pulmonary fibrosis (IPF) is a chronic interstitial lung disease with a poor prognosis. Its non-specific clinical symptoms make accurate prediction of disease progression challenging. This study aimed to develop molecular-level prognostic models to personalize treatment strategies for IPF patients.
View Article and Find Full Text PDFEClinicalMedicine
August 2024
Section Health Equity Studies & Migration, Department of Primary Care and Health Services Research, Heidelberg University Hospital, Im Neuenheimer Feld 130.3, Heidelberg 69120, Germany.
Background: Evidence amounted early that migrants, who are often side-lined in pandemic response or preparedness plans, are disproportionately affected by the COVID-19 pandemic and its consequences. However, synthesised evidence that quantifies the magnitude of inequalities in infection risk, disease outcomes, consequences of pandemic measures or that explains the underlying mechanisms is lacking.
Methods: We conducted a systematic review searching 25 databases and grey literature (12/2019 to 09/2023) and considered empirical articles covering migrants, refugees, asylum-seekers, and internally displaced persons reporting COVID-19 cases, hospitalisation, ICU admission, mortality, COVID-19 vaccination rates or health consequences of pandemic measures.
Background Cervical cancer is the fourth most common cancer among women with significant global disparities in disease burden. In lower-resource settings, where routine screening is uncommon, delays in diagnosis and treatment contribute to morbidity and mortality. Understanding care delays may inform strategies to decrease time to treatment, improving patient outcomes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!