Objective To observe the value of nomogram model based on clinical and ultrasonic characteristics for diagnosing lymphoma.Methods Data of 176 patients with suspected lymphoma due to enlarged superficial lymph nodes were retrospective analyzed.The patients were divided into lymphoma group(n=90,invasive subgroup[n=40]and non-invasive subgroup[n=50])or non-lymphoma group(n=86)based on pathological results.Clinical and ultrasonic data were compared between groups and subgroups.Multivariate logistic regression was used to screen the independent risk factors of lymphoma,and then a nomogram was constructed.Receiver operating characteristic curves were drawn to evaluate the efficacy of conventional ultrasound,conventional contrast-enhanced ultrasound(C-CEUS),high-frame-rate contrast-enhanced ultrasound(H-CEUS)and nomogram for diagnosing lymphoma.Results Multivariate logistic regression analysis revealed that age＞59 years,cortical stripe/reticular hyperecho of lymph nodes and"centrifugal firework"enhancement pattern showed with H-CEUS were all independent risk factors of lymphoma(all P＜0.05).Taken 59 years as the best cut-off value of patients'age,the sensitivity,specificity,accuracy and the area under the curve(AUC)for diagnosing lymphoma was 67.78%,58.10%,63.06%and 0.630,respectively.The sensitivity,specificity,accuracy and AUC of cortical stripe/reticular hyperecho of lymph nodes for diagnosing lymphoma was 73.33%,58.10%,65.91%and 0.657,respectively,while of"centrifugal firework"pattern enhancement in H-CEUS was 77.78%,69.80%,73.86%and 0.738,respectively.AUC of conventional ultrasound,C-CEUS,H-CEUS and nomogram for diagnosing lymphoma was 0.657,0.540,0.738 and 0.844,respectively.Conclusion Nomogram model based on clinical and ultrasonic characteristics had good diagnostic efficacy for lymphoma,and"centrifugal firework"pattern enhancement in H-CEUS could be regarded as the specific characteristic of lymphoma.

Objective:To analyze the current allocation situation and equity of Class B large medical equipment in China,and provide references for reasonably optimizing the allocation of medical equipment.Methods:Based on the allocation data of Class B large medical equipment in China at the end of the 13th Five Year Plan period,the agglomeration degree method was used to evaluate the equity of equipment allocation in various regions from the dimensions of geography,population,and economic development.Results:The current allocation of Class B large medical equipment per million population was 3.19,and the eastern region(3.64)was higher than the central region(3.42),the central region(2.24)was higher than the western region.The agglomeration degree of medical equipment based on geographical area showed that most of the equipment in the eastern region was in a rich state,and the allocation equity was relatively good in the central region,but generally poor in the western region.The agglomeration degree of medical equipment based on population distribution was higher in the eastern region than in the central region and even higher in the western region.The equipment in the eastern region could basically meet the demand of the local population,while the allocation in the central and western regions was slightly insufficient.The distribution of medical equipment agglomeration degree based on economic development varied significantly among different regions,and the allocation equity of central region was generally better than that of eastern and western regions.Conclusion:The total allocation of Class B large medical equipment in China is not high,and the government needs to continue planning and improving it.The distribution of medical equipment allocation based on geography,population and economic development is unbalanced among the eastern,central and western regions.Improving the equity of medical equipment allocation also needs to consider regional differences and characteristics according to local conditions.

BACKGROUND: Highly expressed in various human cancers, circular RNA Protein Kinase C Iota (circPRKCI) has been reported to play an important role in cancer development and progression. Herein, we sought to reveal the prognostic and clinical value of circPRKCI expression in diverse human cancers. METHODS: We searched the Pubmed, Web of Science, and the Cochrane Library databases from inception until May 16, 2021. The relationship between circPRKCI expression and cancer patients' survival, including overall survival (OS) and disease-free survival (DFS), was assessed by pooled hazard ratios (HR) with corresponding 95% confidence interval (CI). The correlation between circPRKCI expression and clinical outcomes was evaluated using odds ratios (OR) with corresponding 95% CI. The data were analyzed by STATA software (version 12.0) or Review Manager (RevMan 5.3). RESULTS: A total of 15 studies with 1109 patients were incorporated into our meta-analysis. The results demonstrated that high circPRKCI expression was significantly related to poor OS (HR = 1.96, 95% CI: 1.61, 2.39, P <0.001) when compared with low circPRKCI expression in diverse human cancers. However, elevated circPRKCI expression was not associated with DFS (HR = 1.34, 95% CI: 0.93, 1.95, P = 0.121). Furthermore, the patient with a higher circPRKCI expression was prone to have a larger tumor size, advanced clinical stage, and lymph node metastasis, but it was not significantly correlated with age, gender, and distant metastasis. CONCLUSION Elevated circPRKCI expression was correlated with worse OS and unfavorable clinical features, suggesting a novel prognostic and predictive role of circPRKCI in diverse human cancers.
Humans ; Prognosis ; RNA, Long Noncoding/genetics* ; Neoplasms/metabolism* ; Disease-Free Survival ; Progression-Free Survival ; Lymphatic Metastasis ; Biomarkers, Tumor/metabolism*