<HashMap><database>biostudies-literature</database><scores><citationCount>0</citationCount><reanalysisCount>0</reanalysisCount><viewCount>47</viewCount><searchCount>0</searchCount></scores><additional><omics_type>Unknown</omics_type><volume>10(1)</volume><submitter>Miao Q</submitter><pubmed_abstract>To investigate and establish a reference interval (RI) of neuron-specific enolase (NSE) in southwest China's healthy population by using the laboratory information system database. A total of 86957 periodic health examination individuals of the medical examination center in West China Hospital from 2016 to 2018 were included in the study. We used the Box-Cox conversion combined with the Tukey method to normalize the data and eliminate the outliers, and the normal distribution method and the nonparametric method to estimate the 95% distribution RI. The NSE 95% distribution RI we established in healthy populations in southwest China through normal distribution and nonparametric method were 0-19.64 ng/ml and 0-20.46 ng/ml, respectively. The obtained RIs verification conformed to the standard and was significantly different from the reagent instruction(P &lt; 0.05). The RI established by the nonparametric method was superior to the RI of the normal distribution method and reagent instruction(P &lt; 0.05). We initially established an NSE RI that was suitable for the healthy southwest China population. The Box-Cox conversion combined with the Tukey method and nonparametric method is a reliable and straightforward indirect method for reference interval acquisition, which is suitable for the promotion and application of clinical laboratory.</pubmed_abstract><journal>Scientific reports</journal><pagination>6332</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7156405</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>The establishment of neuron-specific enolase reference interval for the healthy population in southwest China.</pubmed_title><pmcid>PMC7156405</pmcid><pubmed_authors>Cai B</pubmed_authors><pubmed_authors>Miao Q</pubmed_authors><pubmed_authors>Zhang J</pubmed_authors><pubmed_authors>Gao X</pubmed_authors><pubmed_authors>Su Z</pubmed_authors><view_count>47</view_count></additional><is_claimable>false</is_claimable><name>The establishment of neuron-specific enolase reference interval for the healthy population in southwest China.</name><description>To investigate and establish a reference interval (RI) of neuron-specific enolase (NSE) in southwest China's healthy population by using the laboratory information system database. A total of 86957 periodic health examination individuals of the medical examination center in West China Hospital from 2016 to 2018 were included in the study. We used the Box-Cox conversion combined with the Tukey method to normalize the data and eliminate the outliers, and the normal distribution method and the nonparametric method to estimate the 95% distribution RI. The NSE 95% distribution RI we established in healthy populations in southwest China through normal distribution and nonparametric method were 0-19.64 ng/ml and 0-20.46 ng/ml, respectively. The obtained RIs verification conformed to the standard and was significantly different from the reagent instruction(P &lt; 0.05). The RI established by the nonparametric method was superior to the RI of the normal distribution method and reagent instruction(P &lt; 0.05). We initially established an NSE RI that was suitable for the healthy southwest China population. The Box-Cox conversion combined with the Tukey method and nonparametric method is a reliable and straightforward indirect method for reference interval acquisition, which is suitable for the promotion and application of clinical laboratory.</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Apr</publication><modification>2024-02-15T06:00:50.704Z</modification><creation>2020-05-22T17:28:28Z</creation></dates><accession>S-EPMC7156405</accession><cross_references><pubmed>32286436</pubmed><doi>10.1038/s41598-020-63331-x</doi></cross_references></HashMap>