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Xu J, Du S, Dong X. Associations of Education Level With Survival Outcomes and Treatment Receipt in Patients With Gastric Adenocarcinoma. Front Public Health 2022; 10:868416. [PMID: 35757623 PMCID: PMC9218109 DOI: 10.3389/fpubh.2022.868416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 04/25/2022] [Indexed: 11/20/2022] Open
Abstract
Background It remains largely unclear how education level, an important socioeconomic factor, affects prognoses for patients with gastric adenocarcinoma (GAC). We aimed to demonstrate the associations between education level and clinical outcomes in patients with GAC. Methods We included a total of 30,409 patients diagnosed with GAC from the Surveillance, Epidemiology, and End Results 18 registry database. Education level, household income, unemployment rate, poverty rate, insurance status, and marital status were selected as sociodemographic variables for the comprehensive analysis. Cox and logistic regression models, Kaplan–Meier curves, and subgroup analyses were the primary statistical methods employed. Results A low level of education was correlated with less income, higher unemployment rates, and higher poverty rates (all p < 0.001). The multivariate Cox analysis indicated that a high education level was significantly associated with superior overall survival rates and cancer-specific survival rates in patients with GAC (both p < 0.001). We also corroborated favorable survival outcomes by high education level within almost every clinical and demographic subgroup. Furthermore, chemotherapy combined with surgery could markedly prolong the survival for all patients, including patients of stage IV cancer (both p < 0.001). By using multivariable logistic models, patients in counties with high education levels had a higher probability of chemotherapy receipt (p < 0.001). Contrarily, those in the counties with low levels of education were less likely to receive chemotherapy or undergo surgery (p < 0.001). Conclusions Education level was identified and confirmed as an independent predictor of treatment and survival for GAC patients. Efforts are needed to provide effective interventions for those whose educational status is adverse.
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Affiliation(s)
- Jiaxuan Xu
- Department of Hematology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Institute of Education, Nanjing University, Nanjing, China
| | - Shuhui Du
- Department of Hematology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Institute of Education, Nanjing University, Nanjing, China
| | - Xiaoqing Dong
- Department of Hematology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Institute of Education, Nanjing University, Nanjing, China
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Park JH, Kim E, Seol EM, Kong SH, Park DJ, Yang HK, Choi JH, Park SH, Choe HN, Kweon M, Park J, Choi Y, Lee HJ. Prediction Model for Screening Patients at Risk of Malnutrition After Gastric Cancer Surgery. Ann Surg Oncol 2021; 28:4471-4481. [PMID: 33481124 DOI: 10.1245/s10434-020-09559-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 12/23/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Malnutrition after gastrectomy is associated with a poor prognosis; however, no accurate model for predicting post-gastrectomy malnutrition exists. Hence, we conducted a retrospective study to develop a prediction model identifying gastric cancer patients at high risk of malnutrition after gastrectomy. METHOD Gastric cancer patients who underwent curative gastrectomy with more than one weight measurement during a 3-year follow-up period were included. Malnutrition was defined as body mass index (BMI) < 18.5 kg/m2 according to the European Society of Clinical Nutrition and Metabolism diagnostic criteria. BMI-loss pattern was analyzed using a group-based trajectory model. A prediction model for malnutrition 6 months after gastrectomy was developed based on significant risk factors, and then validated. RESULTS Overall, 1421 patients were examined. The BMI-loss trajectory model showed significant BMI loss at 6 months after gastrectomy. Severe BMI loss (mean 21.5%; n = 109) was significantly associated with the elderly, female sex, higher preoperative BMI, advanced cancer stage, open surgery, total gastrectomy, Roux-en-Y reconstruction, chemotherapy, and postoperative complications (all p < 0.05). Malnutrition 6 months after gastrectomy was observed in 152 (11.9%) of 1281 patients. Preoperative BMI, sex, and type of operation were included in the final prediction model as predictive factors (p < 0.05). The C-index of the developmental set and bootstrap validation of the prediction model was 0.91 (95% confidence interval 0.89-0.94) and 0.91, respectively. CONCLUSION The prediction model for the risk of malnutrition 6 months after gastrectomy was accurately developed, with three independent risk factors: low preoperative BMI, female sex, and total or proximal gastrectomy.
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Affiliation(s)
- Ji-Hyeon Park
- Department of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Eunjung Kim
- Nutritional Support Team, Seoul National University Hospital, Seoul, Korea.,Department of Nursing, Seoul National University Hospital, Seoul, Korea
| | - Eun-Mi Seol
- Nutritional Support Team, Seoul National University Hospital, Seoul, Korea.,Department of Nursing, Seoul National University Hospital, Seoul, Korea
| | - Seong-Ho Kong
- Department of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.,Seoul National University College of Medicine, Seoul, Korea
| | - Do Joong Park
- Department of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.,Seoul National University College of Medicine, Seoul, Korea.,Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Han-Kwang Yang
- Department of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.,Seoul National University College of Medicine, Seoul, Korea.,Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Jong-Ho Choi
- Department of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Shin-Hoo Park
- Division of Foregut Surgery, Department of Surgery, Korea University College of Medicine, Seoul, Korea
| | - Hwi-Nyeong Choe
- Department of Nursing, Seoul National University Hospital, Seoul, Korea
| | - Meera Kweon
- Departments of Food Service and Nutrition Care, Seoul National University Hospital, Seoul, Korea
| | - Jiwon Park
- Department of Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Korea
| | - Yunhee Choi
- Department of Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Korea
| | - Hyuk-Joon Lee
- Department of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea. .,Seoul National University College of Medicine, Seoul, Korea. .,Cancer Research Institute, Seoul National University, Seoul, Korea.
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Profiles Combining Muscle Atrophy and Neutrophil-to-Lymphocyte Ratio Are Associated with Prognosis of Patients with Stage IV Gastric Cancer. Nutrients 2020; 12:nu12061884. [PMID: 32599747 PMCID: PMC7353220 DOI: 10.3390/nu12061884] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 06/14/2020] [Accepted: 06/20/2020] [Indexed: 12/13/2022] Open
Abstract
We aimed to investigate the impact of muscle atrophy and the neutrophil-to-lymphocyte ratio (NLR), a sub-clinical biomarker of inflammation and nutrition, on the prognosis of patients with unresectable advanced gastric cancer. We retrospectively enrolled 109 patients with stage IV gastric cancer (median age 69 years; female/male 22%/78%; median observational period 261 days). Independent factors and profiles for overall survival (OS) were determined by Cox regression analysis and decision-tree analysis, respectively. OS was calculated using the Kaplan–Meier method. The prevalence of muscle atrophy was 82.6% and the median NLR was 3.15. In Cox regression analysis, none of factors were identified as an independent factor for survival. The decision-tree analysis revealed that the most favorable prognostic profile was non-muscle atrophy (OS rate 36.8%). The most unfavorable prognostic profile was the combination of muscle atrophy and high NLR (OS rate 19.6%). The OS rate was significantly lower in patients with muscle atrophy and high NLR than in patients with non-muscle atrophy (1-year survival rate 28.5% vs. 54.7%; log-rank test p = 0.0014). In conclusion, “muscle atrophy and high NLR” was a prognostic profile for patients with stage IV gastric cancer. Thus, the assessment of muscle mass, subclinical inflammation, and malnutrition may be important for the management of patients with stage IV gastric cancer.
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Ge XY, Ge F, Wang Z, Wang YL, Lei LW, Liu QR, Sun XY, Jiang X. Analysis of risk factors of stage IV gastric cancer from the SEER database. Ann R Coll Surg Engl 2020; 102:355-362. [PMID: 32326735 PMCID: PMC7374772 DOI: 10.1308/rcsann.2020.0031] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/01/2019] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION Gastric cancer is the fourth most common cancer in the world. By the time the patients are diagnosed with stage IV gastric cancer, many patients already have distant metastases. There is no unified systemic treatment plan in existence. The use of gastrectomy is ambiguous in patients with stage IV gastric cancer. The objective of this study was to evaluate the beneficial outcome of gastrectomy in patients with stage IV gastric cancer. METHODS Clinical information of patients with gastric cancer from 2000 to 2010 in the Surveillance, Epidemiology, and End Results database were extracted and analysed. The risk factors for stage IV gastric cancer were also analysed. RESULTS We observed that the median survival time for patients after surgery was greater than that for patients not treated surgically. The five-year survival rate for chemotherapy patients was higher than that of non-chemotherapeutic patients. Patients who receive both chemotherapy and surgery could achieve a more significant survival benefit. The risks following gastrectomy (partial, subtotal, hemi-) were lower than those of other surgical procedures, which provided guidance on the choice of surgical method. The numbers of regional lymph node metastasis were found to be related to prognosis. CONCLUSIONS In patients with stage IV gastric cancer, gastrectomy (partial, subtotal or hemi) should be selected when surgery is necessary. The number of regional lymph node metastasis could be considered as a prognostic factor for patients with stage IV gastric cancer and lymph node dissection could reduce the risk of patients undergoing surgery.
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Affiliation(s)
- X-Y Ge
- First Affiliated Hospital of Harbin Medical University, Harbin, PR China
| | - F Ge
- First Affiliated Hospital of Harbin Medical University, Harbin, PR China
| | - Z Wang
- Anshan Central Hospital, Anshan, PR China
| | - YL Wang
- First Affiliated Hospital of Harbin Medical University, Harbin, PR China
| | - LW Lei
- First Affiliated Hospital of Harbin Medical University, Harbin, PR China
| | - QR Liu
- First Affiliated Hospital of Harbin Medical University, Harbin, PR China
| | - XY Sun
- First Affiliated Hospital of Harbin Medical University, Harbin, PR China
| | - X Jiang
- First Affiliated Hospital of Harbin Medical University, Harbin, PR China
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