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Background The number of older patients with cancer is increasing with the progression of aging societies. In the current study, we sought to clarify the prognostic values of the geriatric nutritional risk index (GNRI) as a nutritional index and the neutrophil-to-lymphocyte ratio (NLR) as an inflammatory index in older patients with gastric cancer. Methods Between January 2007 and December 2016, a total of 197 consecutive gastric cancer patients aged ≥ 75 years who underwent radical gastrectomy were enrolled in this study. The prognostic values of preoperative GNRI and NLR were assessed using time-dependent receiver operating characteristic curve analysis, log-rank tests, and Cox regression analysis. Results The areas under the curve (AUCs) predicting 5-year overall survival (OS) were 0.668 for GNRI and 0.637 for NLR. The 5-year OS rates in the groups with low GNRI and NLR were 40.1% and 74.1% ( p < 0.001), and those with high GNRI and NLR were 70.7% and 41.5% ( p < 0.001), respectively. Multivariate analysis showed that GNRI (hazard ratio (HR): 0.584; 95% confidence interval (CI): 0.356–0.960; p = 0.034) and NLR (HR: 2.470; 95% CI: 1.503–4.059; p < 0.001) were independent predictors for OS. The GNRI–NLR score constructed with GNRI and NLR had a higher AUC (0.698) than those of GNRI or NLR alone and was an independent prognostic factor (HR, 0.486; 95% CI: 0.363–0.651; p < 0.001). Conclusions GNRI and NLR are useful prognostic biomarkers in older patients with gastric cancer aged ≥ 75 years. The GNRI–NLR score could contribute to a more personalized and holistic approach to cancer treatment in this patient population.
Background The number of older patients with cancer is increasing with the progression of aging societies. In the current study, we sought to clarify the prognostic values of the geriatric nutritional risk index (GNRI) as a nutritional index and the neutrophil-to-lymphocyte ratio (NLR) as an inflammatory index in older patients with gastric cancer. Methods Between January 2007 and December 2016, a total of 197 consecutive gastric cancer patients aged ≥ 75 years who underwent radical gastrectomy were enrolled in this study. The prognostic values of preoperative GNRI and NLR were assessed using time-dependent receiver operating characteristic curve analysis, log-rank tests, and Cox regression analysis. Results The areas under the curve (AUCs) predicting 5-year overall survival (OS) were 0.668 for GNRI and 0.637 for NLR. The 5-year OS rates in the groups with low GNRI and NLR were 40.1% and 74.1% ( p < 0.001), and those with high GNRI and NLR were 70.7% and 41.5% ( p < 0.001), respectively. Multivariate analysis showed that GNRI (hazard ratio (HR): 0.584; 95% confidence interval (CI): 0.356–0.960; p = 0.034) and NLR (HR: 2.470; 95% CI: 1.503–4.059; p < 0.001) were independent predictors for OS. The GNRI–NLR score constructed with GNRI and NLR had a higher AUC (0.698) than those of GNRI or NLR alone and was an independent prognostic factor (HR, 0.486; 95% CI: 0.363–0.651; p < 0.001). Conclusions GNRI and NLR are useful prognostic biomarkers in older patients with gastric cancer aged ≥ 75 years. The GNRI–NLR score could contribute to a more personalized and holistic approach to cancer treatment in this patient population.
AI is revolutionizing the landscape of colorectal cancer (CRC) surgery, permeating diverse facets ranging from intraoperative guidance to predictive modeling of postoperative outcomes. This scoping review aims to comprehensively delineate the breadth of artificial intelligence (AI) applications in CRC surgery. A search of PubMed, Embase, and Ebsco databases up to December 2023 was conducted, with registration in the international prospective register of systematic reviews (PROSPERO) (CRD42024502107). Sixty-two studies meeting stringent inclusion criteria were scrutinized, encompassing AI utilization in CRC surgery or the development of AI-driven tools for colorectal surgical practice. Five principal domains of AI application emerged: (i) Intraoperative guidance, leveraging real-time navigation, indocyanine green (ICG) angiography, and hyperspectral imaging (HSI) to enhance surgical precision; (ii) Image segmentation, facilitating phase recognition, tools recognition, and anatomical identification to optimize surgical visualization; (iii) Training and performance assessment, enabling objective evaluation and enhancement of surgical skills through AI-driven simulations and feedback mechanisms; (iv) Prediction of surgical complications, encompassing prognostication of anastomotic leakage (AL) or stricture, stoma requirements, and prediction of low anterior resection syndrome (LARS) and short-term postoperative complications; (v) Utilization of electronic health records (EHRs), harnessing AI algorithms to streamline data analysis and inform decision-making processes. This review underscores the paradigm-shifting impact of AI in CRC surgery, transcending conventional boundaries and catalyzing advancements across diverse surgical domains. Although many applications are still experimental, as AI continues to evolve, it promises to transform surgical practice, optimize outcomes, and revolutionize patient care. Embracing AI technologies is imperative for colorectal surgeons to remain at the vanguard of surgical innovation and deliver superior outcomes for CRC patients.
Background: The number of older patients with cancer is increasing with the progression of aging societies. We aimed to clarify the prognostic values of the geriatric nutritional risk index (GNRI) as a nutritional index and the neutrophil-to-lymphocyte ratio (NLR) as an inflammatory index in older patients with gastric cancer. Methods: Between January 2007 and December 2016, a total of 197 consecutive gastric cancer patients aged ≥75 years who underwent radical gastrectomy were included in this study. We evaluated the prognostic values of preoperative GNRI and NLR using time-dependent receiver operating characteristic curveanalysis, log-rank tests and Cox regression analysis. Results: The areas under the curve (AUCs) predicting 5-year OS were 0.668 for GNRI and 0.637 for NLR. The 5-year OS rates in the groups with low and high GNRI and NLR were 40.1% and 74.1% (p<0.001), 70.7% and 41.5% (p<0.001), respectively. Multivariate analysis showed that GNRI (Hazard ratio (HR): 0.584; 95% confidence interval (CI): 0.356–0.960; p=0.034) and NLR (HR: 2.470; 95% CI: 1.503–4.059; p<0.001) were independent predictors for OS. GNRI-NLR score constructed with GNRI and NLR had a higher AUC of 0.698 than those of either GNRI or NLR alone, and was an independent prognostic factor (HR, 0.486; 95% CI: 0.363–0.651; p<0.001). Conclusions: GNRI and NLR are useful prognostic biomarkers in older gastric cancer patients aged ³75years, and the GNRI-NLR score could contribute to a more personalized and holistic approach to cancer treatment in older gastric cancer patients.
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