Objective:To explore the clinicopathologic features of early-onset pancreatic cancer (EOPC) and its correlation with dyslipidemia and prognostic analysis.Methods:This is a retrospective cohort study. Clinical and pathological data of 455 patients with pancreatic cancer who underwent radical surgery from January 2013 to September 2020 in the Department of Pancreatic Surgery, Qilu Hospital, Shandong University were retrospectively collected. According to the onset age≤50 years, the patients were divided into EOPC group(67 cases) and later-onset pancreatic cancer (LOPC) group(388 cases). There were 48 males and 19 females in the EOPC group, aged (44.4±5.7) years(range: 28.0 to 50.0 years); and 230 males and 158 females in the LOPC group, aged (63.0±7.2)years (range: 51.0 to 86.0 years). EOPC was divided into two groups according to the blood lipid status: dyslipidemia (50 cases) and normal (17 cases). General information, blood lipid data, clinicopathological parameters and follow-up information were collected. χ2 test, Mann-Whitney U test and Logistic regression analysis were used to evaluate the difference or correlation between groups, and Cox regression analysis and Kaplan-Meier survival curve were used to analyze the impact of EOPC and dyslipidemia on the prognosis. Propensity score matching was used to match two groups of patients in a 1∶1 ratio using nearest neighbor matching, with a caliper set at 0.05. Results:Compared with LOPC group, EOPC group with a higher proportion of patients with body mass index ≥24 kg/m 2 (55.8%(24/43) vs. 38.7%(113/292), χ2=4.542 ,P=0.033), dyslipidemia(74.6%(50/67) vs. 57.7%(224/388), χ2=6.808, P=0.009), pancreatic head cancer (73.1% (49/67) vs. 60.0%(231/385), χ2=4.176, P=0.041) and a lower proportion of patients with type 2 diabetes (9.0%(6/67) vs. 24.2%(94/388), χ2=7.771, P=0.005) and hypertension (9.0%(6/67) vs. 33.0%(128/388), χ2=15.885, P<0.01). Compared the proportion of dyslipidemia in the two groups,there was a higher proportion of high density lipoprotein cholesterol(HDL-C) abnormality in the EOPC group (65.7%(44/67) vs. 42.8%(166/388), χ2=12.044, P<0.01), whereas there was no significant difference in other lipid indices. Kaplan-Meier survival curve analysis of dyslipidemia did not have a significant effect on the prognosis of EOPC patients ( P=0.430). The results of further Logistic regression analysis showed that gender( OR=6.445 (95% CI: 1.692 to 24.548), P=0.006) and tumor location ( OR=5.352 (95% CI: 1.374 to 20.846), P=0.016) were independent related factors with serum lipid level in patients with EOPC. Conclusions:Compared with LOPC, EOPC is more likely to be combined with obesity and HDL-C abnormalities, and the proportion of pancreatic head cancer is also higher, but there is no significant difference in prognosis between the two groups. In the EOPC patients, serum lipid level is associated with gender and tumor site, but has no effect on survival.

Objective:To investigate the clinicopathological characteristics and prognosis of pancreatic cancer (PC) patients with fatty pancreas (FP).Methods:The retrospective cohort study was conducted. The clinicopathological data of 116 patients with PC who underwent surgery at Qilu Hospital of Shandong University from January 2013 to January 2022 were collected. There were 85 males and 31 females, aged 60(54,65)years. Observation indicators: (1) clinicopathological characteristics of PC patients with FP; (2) influencing factors for FP in PC patients; (3) prognosis of PC patients with FP. Comparison of count data between groups was conducted using the Pearson chi-square test. Multivariate analysis was conducted using the Logistic regression model. The Kaplan-Meier method was used to plot survival curve and calculate survival rate, and Cox proportional hazard model was used for survival analysis.Results:(1) Clinicopathological characteristics of PC patients with FP. Of the 116 PC patients, there were 43 cases with FP and 73 cases without FP. Cases with tumor location at pancreatic head were 36 in PC patients with FP and 46 in PC patients without FP. Cases with tumor location at pancreatic body or tail were 7 in PC patients with FP and 27 in PC patients without FP. Cases with high-density lipoprotein cholesterol ≥1.04 mmol/L were 14 in PC patients with FP and 34 in PC patients without FP. Cases with dyslipidemia were 33 in PC patients with FP and 36 in PC patients without FP. There were significant differences in tumor location, high-density lipoprotein cholesterol and plasma lipid between PC patients with and without FP ( χ2=5.600, 4.588, 5.165, P<0.05). (2) Influencing factors for FP in PC patients. Results of multivariate analysis showed that no correlation was found between tumor location, high-density lipoprotein cholesterol, plasma lipid and FP in PC patients ( P>0.05). (3) Prognosis of PC patients with FP. Eighty of the 116 PC patients were followed up for 30.8(15.1,57.5)months, with the median overall survival time of 24.0 months. Among them, 54 patients with FP had a median overall survival time of 19.5 months, 26 patients without FP had a median overall survival time of 24.6 months, showing no significant difference in survival between them ( hazard ratio=1.031, P>0.05). Conclusions:There are differ-ences in tumor location, high-density lipoprotein cholesterol and plasma lipid between PC patients with and without FP, but no correlation is found between the above indicators and FP in PC patients. There is no significant difference in prognosis between patients with and without FP.

Objective:To investigate the clinicopathological characteristics and prognosis of pancreatic cancer (PC) patients with fatty pancreas (FP).Methods:The retrospective cohort study was conducted. The clinicopathological data of 116 patients with PC who underwent surgery at Qilu Hospital of Shandong University from January 2013 to January 2022 were collected. There were 85 males and 31 females, aged 60(54,65)years. Observation indicators: (1) clinicopathological characteristics of PC patients with FP; (2) influencing factors for FP in PC patients; (3) prognosis of PC patients with FP. Comparison of count data between groups was conducted using the Pearson chi-square test. Multivariate analysis was conducted using the Logistic regression model. The Kaplan-Meier method was used to plot survival curve and calculate survival rate, and Cox proportional hazard model was used for survival analysis.Results:(1) Clinicopathological characteristics of PC patients with FP. Of the 116 PC patients, there were 43 cases with FP and 73 cases without FP. Cases with tumor location at pancreatic head were 36 in PC patients with FP and 46 in PC patients without FP. Cases with tumor location at pancreatic body or tail were 7 in PC patients with FP and 27 in PC patients without FP. Cases with high-density lipoprotein cholesterol ≥1.04 mmol/L were 14 in PC patients with FP and 34 in PC patients without FP. Cases with dyslipidemia were 33 in PC patients with FP and 36 in PC patients without FP. There were significant differences in tumor location, high-density lipoprotein cholesterol and plasma lipid between PC patients with and without FP ( χ2=5.600, 4.588, 5.165, P<0.05). (2) Influencing factors for FP in PC patients. Results of multivariate analysis showed that no correlation was found between tumor location, high-density lipoprotein cholesterol, plasma lipid and FP in PC patients ( P>0.05). (3) Prognosis of PC patients with FP. Eighty of the 116 PC patients were followed up for 30.8(15.1,57.5)months, with the median overall survival time of 24.0 months. Among them, 54 patients with FP had a median overall survival time of 19.5 months, 26 patients without FP had a median overall survival time of 24.6 months, showing no significant difference in survival between them ( hazard ratio=1.031, P>0.05). Conclusions:There are differ-ences in tumor location, high-density lipoprotein cholesterol and plasma lipid between PC patients with and without FP, but no correlation is found between the above indicators and FP in PC patients. There is no significant difference in prognosis between patients with and without FP.

Objective:To explore the clinicopathologic features of early-onset pancreatic cancer (EOPC) and its correlation with dyslipidemia and prognostic analysis.Methods:This is a retrospective cohort study. Clinical and pathological data of 455 patients with pancreatic cancer who underwent radical surgery from January 2013 to September 2020 in the Department of Pancreatic Surgery, Qilu Hospital, Shandong University were retrospectively collected. According to the onset age≤50 years, the patients were divided into EOPC group(67 cases) and later-onset pancreatic cancer (LOPC) group(388 cases). There were 48 males and 19 females in the EOPC group, aged (44.4±5.7) years(range: 28.0 to 50.0 years); and 230 males and 158 females in the LOPC group, aged (63.0±7.2)years (range: 51.0 to 86.0 years). EOPC was divided into two groups according to the blood lipid status: dyslipidemia (50 cases) and normal (17 cases). General information, blood lipid data, clinicopathological parameters and follow-up information were collected. χ2 test, Mann-Whitney U test and Logistic regression analysis were used to evaluate the difference or correlation between groups, and Cox regression analysis and Kaplan-Meier survival curve were used to analyze the impact of EOPC and dyslipidemia on the prognosis. Propensity score matching was used to match two groups of patients in a 1∶1 ratio using nearest neighbor matching, with a caliper set at 0.05. Results:Compared with LOPC group, EOPC group with a higher proportion of patients with body mass index ≥24 kg/m 2 (55.8%(24/43) vs. 38.7%(113/292), χ2=4.542 ,P=0.033), dyslipidemia(74.6%(50/67) vs. 57.7%(224/388), χ2=6.808, P=0.009), pancreatic head cancer (73.1% (49/67) vs. 60.0%(231/385), χ2=4.176, P=0.041) and a lower proportion of patients with type 2 diabetes (9.0%(6/67) vs. 24.2%(94/388), χ2=7.771, P=0.005) and hypertension (9.0%(6/67) vs. 33.0%(128/388), χ2=15.885, P<0.01). Compared the proportion of dyslipidemia in the two groups,there was a higher proportion of high density lipoprotein cholesterol(HDL-C) abnormality in the EOPC group (65.7%(44/67) vs. 42.8%(166/388), χ2=12.044, P<0.01), whereas there was no significant difference in other lipid indices. Kaplan-Meier survival curve analysis of dyslipidemia did not have a significant effect on the prognosis of EOPC patients ( P=0.430). The results of further Logistic regression analysis showed that gender( OR=6.445 (95% CI: 1.692 to 24.548), P=0.006) and tumor location ( OR=5.352 (95% CI: 1.374 to 20.846), P=0.016) were independent related factors with serum lipid level in patients with EOPC. Conclusions:Compared with LOPC, EOPC is more likely to be combined with obesity and HDL-C abnormalities, and the proportion of pancreatic head cancer is also higher, but there is no significant difference in prognosis between the two groups. In the EOPC patients, serum lipid level is associated with gender and tumor site, but has no effect on survival.

Pancreatic neuroendocrine neoplasm (pNEN) is highly heterogeneous, and the prognosis varies among tumors of different stages and grades. However, there is lacking high pro-gnostic predictors with sensitivity and specificity. Inflammation plays a pivotal role in the occurrence and development of different tumors, various inflammatory markers such as neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, lymphocyte-monocyte ratio are of great significance in the diagnosis, treat-ment, and prognosis of tumors. Several studies have demonstrated that inflammatory markers are associated with poor prognosis and can serve as predictive factors for tumor prognosis. The authors summarize recent advances in the researches focused on the prognostic value of inflamma-tory markers in pNEN, in order to provide novel insights for clinical decision-making of pNEN.

In order to clarify the characteristics and application status of the Ottawa Model of Research Use,this paper tries to expound its origin,development,core elements,assumptions and implementation steps,and summarize its characteristics.By analyzing the studies of evidence-based nursing practice using this model in recent years,the research aims to help researchers to further understand its implementation steps and provide reference for researchers to apply this model in evidence-based practice.

This article introduces Stetler's model of research utilization and its recent application in evidence-based nursing practice, and elaborates a study on evidence-based nursing practice using the model in order to offer frameworks, insights and methods for evidence-based nursing practice by China's nursing staff.