Evidence map›Paper›PMID 39893482›Full record

ArticleWorld journal of surgical oncology2025

Effect of visceral fat area on prognosis of patients undergoing radical gastrectomy and construction of nomogram.

Zhicheng Huang, Baohua Zheng, Zhiwei Wang, Xiaobin Chen, Yu Wang

Abstract read
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Article in World journal of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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2 citing papers in PubMed.

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5 · Who and what money

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5 authors.

Zhicheng Huang *Department of General Surgery, Fuzhou General Teaching Hospital, Fujian University of Traditional Chinese Medicine, 900th Hospital of Joint Logistics Support Force, Fuzhou, 350025, China.
Baohua Zheng *Department of General Surgery, Fuzhou General Teaching Hospital, Fujian University of Traditional Chinese Medicine, 900th Hospital of Joint Logistics Support Force, Fuzhou, 350025, China.
Zhiwei WangDepartment of General Surgery, Fuzhou General Teaching Hospital, Fujian University of Traditional Chinese Medicine, 900th Hospital of Joint Logistics Support Force, Fuzhou, 350025, China.
Xiaobin ChenDepartment of General Surgery, Fuzhou General Teaching Hospital, Fujian University of Traditional Chinese Medicine, 900th Hospital of Joint Logistics Support Force, Fuzhou, 350025, China.
Yu WangDepartment of General Surgery, Fuzhou General Teaching Hospital, Fujian University of Traditional Chinese Medicine, 900th Hospital of Joint Logistics Support Force, Fuzhou, 350025, China. flyfishwang@hotmail.com.

Funding

Key project of the 900th Hospital 2023zs01Special research project of training injury prevention and treatment in the 900th Hospital 2023XL02the General Project of Fujian Natural Science Foundation 2023J01206Top-notch project of the PLA Medical Science and Technology Youth Training Program 21QNPY138
6 · The paper itself

Abstract

backgroundWe aim to investigate the impact of visceral fat area (VFA) on the prognosis of patients following radical gastric resection and develop a nomogram prediction model to forecast the prognosis of gastric cancer patients.

methodsWe retrospectively analyzed 156 patients who underwent laparoscopic radical gastrectomy for distal gastric cancer in the 900th hospital of the Joint Logistics Support Force from April 2018 to April 2020. We collected the CT image data and clinicopathological data one week prior to the operation and then used software to calculate the VFA, dividing it into two groups: a low VFA group (n = 71) and a high VFA group (n = 85). We compared the clinicopathological characteristics and early postoperative complications of the two groups. The Pearson χ

resultsThe results of CT showed that VFA value was (95.89 ± 41.40) cm², and body mass index (BMI) was positively correlated with VFA value (r = 0.291, P < 0.001). The ROC curve shows that VFA can predict the prognosis of patients with gastric cancer significantly better than BMI (AUC = 0.826 vs. AUC = 0.707, P = 0.016). The incidence of incision fat liquefaction, pancreatic fistula, and abdominal infection in the high VFA group was higher than that in the low VFA group (P < 0.05). We followed up with all patients for 0.5-48.5 months, with a median follow-up time of 30 months. We used the Kaplan-Meier method to draw the survival curve. The results showed that the overall survival rate of patients in the high VFA group was significantly higher than that in the low VFA group (χ

conclusionsAge, differentiation degree, postoperative complications, VFA, ASA grading, and TNM staging are independent influencing factors for the prognosis of patients with gastric cancer. The constructed nomogram has excellent prediction accuracy and is helpful to evaluate the prognosis of patients.

Indexed as

GastrectomyIntra-Abdominal FatNomogramsPostoperative ComplicationsStomach NeoplasmsAdultAgedBody Mass IndexFemaleFollow-Up StudiesHumansLaparoscopyMaleMiddle AgedPrognosisRetrospective StudiesBody mass indexGastric cancerNomogramPrognosisVisceral fat area

Identifiers

PMID39893482
PMCPMC11786549

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