Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Objectives: To explore the predictive value of inflammatory-nutritional score (INS) and a nomogram for survivals in head and neck soft tissue sarcoma (HNSTS) patients with negative resection margins (R0).
Methods: Clinical characteristics and hematological features of 315 HNSTS patients underwent R0 surgery were analyzed.
Results: The 5-year overall survival (OS) rate, 3-year recurrence-free survival rate and disease-free survival (DFS) rate were 77.3%, 61.0% and 55.4%, respectively. High INS was associated with a deep tumor location (p < 0.001), high tumor grade (p < 0.001), and advanced AJCC stage (p < 0.001). The low-risk group (INS 0) exhibited a higher 5-year OS rate and 3-year DFS rate than others (87.6% vs. 81.3% vs. 53.3%, p < 0.001; 62.2% vs. 56.9% vs. 37.9%, p = 0.007). The INS (p = 0.023), tumor depth (p < 0.001), pT classification (p = 0.022), pN classification (p < 0.001) and tumor grade (p < 0.001) were independent survival predictors. Moreover, a novel nomogram for predicting OS was generated and assessed by the concordance index, exhibiting a better performance than the p7TNMG classification alone (p < 0.001).
Conclusions: For R0 resected HNSTS patients, the oncological outcomes can be predicted using the INS system and a specific nomogram.
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Source |
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http://dx.doi.org/10.1111/odi.14499 | DOI Listing |
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