Evidence mapPaperPMID 39006255Full record

ArticleAmerican journal of translational research2024

Application value of laparoscopic surgery in elderly patients (≥ 75 years) with colorectal cancer and prognostic factors influencing 5-year overall survival.

Jia Wang, Yang Yang, Wenqing Li, Bowei Yang, Zhiqiang Tian, Gaobo Wang

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Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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5 · Who and what money

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6 authors.

Jia WangDepartment of General Surgery, Baoji People's Hospital Baoji 721000, Shaanxi, China.
Yang YangDepartment of General Surgery, Baoji People's Hospital Baoji 721000, Shaanxi, China.
Wenqing LiDepartment of General Surgery, Baoji People's Hospital Baoji 721000, Shaanxi, China.
Bowei YangDepartment of General Surgery, Baoji People's Hospital Baoji 721000, Shaanxi, China.
Zhiqiang TianDepartment of General Surgery, Baoji People's Hospital Baoji 721000, Shaanxi, China.
Gaobo WangDepartment of General Surgery, Baoji People's Hospital Baoji 721000, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the application value of laparoscopic surgery in elderly patients (≥ 75 years) with colorectal cancer, and to identify the prognostic factors influencing the long-term survival in this demographic, and to establish a predictive nomogram model.

methodsA retrospective analysis was conducted on 146 elderly (≥ 75 years old) colorectal cancer patients who underwent radical surgery in Baoji People's Hospital from August 2016 to February 2018, including 55 patients who underwent laparotomy and 91 patients who underwent laparoscopic surgery. Survival curves were plotted using the Kaplan-Meier method, and differences in prognosis were assessed using the Log-rank test. Prognostic impacts of various factors on 5-year survival were analyzed using a Cox proportional hazards model. Significant predictors identified in the Cox model were used to construct a nomogram for predicting survival, which was then validated for accuracy and clinical utility.

resultsLaparoscopic surgery was associated with shorter hospital stays (P = 0.022), although at a higher cost (P = 0.011). The laparoscopic group also had less intraoperative bleeding (P < 0.001), incision length (P < 0.001), time to first postoperative expectoration (P < 0.001), time to first postoperative feeding (P = 0.002), and time to postoperative peritoneal drainage (P = 0.003) compared to the open surgery group. Additionally, the rate of postoperative wound complications was also lower in the laparoscopic group (P = 0.014). There was no significant difference in the 5-year post-treatment survival between the two groups (P = 0.150). Multifactorial Cox regression analysis revealed that a history of diabetes mellitus (P = 0.037), vascular infiltration (P = 0.026), nerve bundle invasion (P = 0.001), and TNM stage (P = 0.001) were independent prognostic factors affecting the 5-year survival of patients with advanced colorectal cancer. The constructed nomogram showed high predictive accuracy for 1-, 3-, and 5-year survival, with AUC values of 0.91, 0.87, and 0.79, respectively. Calibration curves and decision curve analysis confirmed the model's clinical utility. Risk formula: History of diabetes mellitus * -0.696194503 + Vascular infiltration * -0.769736513 + Nerve bundle invasion * -1.1709777 + TNM staging * 1.201933691.

conclusionLaparoscopic surgery can reduce intraoperative trauma and accelerate postoperative recovery in elderly colorectal cancer patients (≥ 75 years) compared to open surgery. The developed nomogram model based on independent prognostic factors such as diabetes history, vascular infiltration, nerve bundle invasion, and TNM staging, facilitates tailored prognostic assessment, enhancing individual patient management.

Indexed as

Colorectal cancerlaparoscopynomogram modelingopen surgery

Identifiers

PMID39006255
PMCPMC11236657

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.