Purpose/Significance To explore the research status,research hotspots and frontiers in the field of clinical decision sup-port based on electronic medical records(EMR).Method/Process The bibliometric method and CiteSpace 6.2.R2 software are used to draw scientific knowledge graph of country/region distribution,author cooperation,institutional cooperation,keyword co-occurrence and clustering for visualized comparative analysis.Python is used for clustering hotspot mining and analysis.Result/Conclusion The field of clinical decision support based on EMR data shows a rapid development trend,with the United States and China as the main research countries and strong cooperation between domestic and foreign institutions.The keywords mainly involve EMR,artificial intelligence(AI),etc.

Objective:To investigate the expression and clinical significance of oxidized low density lipoprotein receptor 1 (OLR1) in gastric cancer.Methods:In gastric cancer tissues and adjacent tissues, the relationship between the expression of OLR1 and the stage and clinical prognosis of gastric cancer was analyzed from the Gene Expression Profiling Interactive Analysis (GEPIA) database and Kaplan-Meier Plotter online database. We collected 6 case of fresh gastric cancer tissues and adjacent tissues of patients undergoing radical gastrectomy in our hospital from October 2018 to December 2018, The extracted RNA were analyzed by quantitative real-time polymerase chain reaction (qRT-PCR) to verify the expression in gastric cancer and adjacent tissues. From January 2012 to January 2014, 36 patients with pathological biopsy specimens of radical gastrectomy in our hospital were examined. Immunohistochemistry was used to confirm the correlation between protein expression level of OLR1 in gastric cancer and paracancerous tissues and clinical pathological stage and prognosis.Results:GEPIA database and Kaplan-Meier Plotter online database analysis showed that OLR1 mRNA was highly expressed in various cancer tissues and significantly higher in gastric cancer tissues than normal tissues ( P<0.05). High expression of OLR1 mRNA is associated with clinical stage and poor prognosis of gastric cancer; qRT-PCR results showed that OLR1 mRNA was highly expressed in gastric cancer tissues; the results of immunohistochemistry showed that the staining score of OLR1 in gastric cancer tissues was significantly higher than that in adjacent tissues ( P<0.001), and its expression level was correlated with depth of tumor invasion and clinical tumor node metastasis (TNM) stage (both P<0.05). Kaplan-Meier survival analysis showed that the expression level of OLR1 was associated with poor prognosis in patients. The median survival time was 18 months in OLR1 high expression group and 30 months in OLR1 low expression group, with statistically significant difference ( P=0.016). Conclusions:OLR1 is highly expressed in gastric cancer tissues, and its expression level is associated with tumor progression and poor prognosis.