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Assessing the TNM Classification for Periprosthetic Joint Infections of the Knee: Predictive Validity for Functional and Subjective Outcomes.

J Pers Med

January 2025

Center for Musculoskeletal Surgery, Clinic for Orthopedics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany.

Periprosthetic joint infection (PJI) following knee arthroplasty can significantly compromise patient mobility and quality of life. The newly proposed TNM classification system, adapted from oncology, categorizes PJI severity but has not yet been correlated with both subjective and objective outcomes post PJI treatment. This study evaluates the applicability of the TNM classification system for predicting outcomes in knee PJI revision surgeries.

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Background: The limitations of the traditional TNM system have spurred interest in multivariable models for personalized prognostication in laryngeal and hypopharyngeal cancers (LSCC/HPSCC). However, the performance of these models depends on the quality of data and modelling methodology, affecting their potential for clinical adoption. This systematic review and meta-analysis (SR-MA) evaluated clinical predictive models (CPMs) for recurrence and survival in treated LSCC/HPSCC.

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Article Synopsis
  • Accurate staging for nasopharyngeal carcinoma (NPC) is vital for treatment and prognosis, using the AJCC/UICC TNM system as a standardized approach, necessitating ongoing updates to reflect modern care practices.
  • The study aimed to enhance the accuracy and relevance of the TNM-8 system for NPC by analyzing patient data from 2014-2015 and undergoing rigorous validation processes leading to the development of TNM-9.
  • Results from over 4,900 patients highlighted that advanced extranodal extension was a key negative prognostic factor, prompting a proposed restructuring of staging for nonmetastatic cases from TNM-8 classifications.
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Article Synopsis
  • The study focused on understanding DNA repair-related genes (DRRGs) in esophageal cancer (EC) and aimed to create a prognostic signature based on these genes.
  • Researchers utilized gene set enrichment analysis (GSEA) and Cox regression to identify four specific DRRGs that could classify patients into high- and low-risk groups for their prognosis.
  • The resulting 4-DRRGs signature demonstrated strong predictive accuracy, providing additional insights into patient outcomes beyond traditional TNM classification.
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Prognostic role of the number of resected and negative lymph nodes in Spanish patients with gastric cancer.

Ann Diagn Pathol

December 2023

Pathology Teaching Unit, Department of Legal Medicine, Psychiatry and Pathology, School of Medicine, Complutense University of Madrid, Madrid, Spain; Department of Pathology, Hospital Clínico San Carlos; Health Research Institute of the Hospital Clínico San Carlos (IdISSC), Madrid, Spain.

Introduction: Lymph node (LN) involvement is one of the most critical prognostic factors in resected gastric cancer (GC). Some analyses, mainly conducted in Asian populations, have found that patients with a higher number of total lymph nodes (NTLN) and/or negative lymph nodes (NNLN) have a better prognosis, although other authors have failed to confirm these results.

Materials And Methods: Retrospective study including all patients with GC resected in a tertiary hospital in Spain between 2001 and 2019 (n = 315).

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