Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Objective: To determine the cut-off value of serum neuron-specific enolase (NSE) level for distinguishing small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC).
Methods: Serum NSE levels were measured by enzyme-linked immunosorbent assay in 137 patients with NSCLC or SCLC, and the best cut-off value was analyzed using ROC curve.
Results: The positivity rate of serum NSE was significantly higher in patients with SCLC than in those with NSCLC (P<0.01). The best cut-off value was 15.45 microg/L using ROC curve, which gave a sensitivity of 66.7% and specificity of 65.7%.
Conclusion: Serum NSE level may allow simple and cost-effective differentiation of SCLC and NSCLC.
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