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
Applying morphometry on FNA smears may lead to meaningful prognostic subgrouping of breast carcinomas. A statistical analysis of the cytomorphometric and clinical data of 73 patients with breast carcinoma was performed. By multivariate analysis, taking into account various prognostic factors, it was shown that variations in nuclear area and the presence of axillary metastases were the most important prognosticators. By weighing these factors a prognostic score was obtained. According to that score the patients were classified into 4 score groups: the decreasing survival with increasing score was evident. The prognostic score was also related to the metastasis-free period. This prognostic scoring is relatively easy to perform, and can be done in routine pathology laboratories.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/0277-5379(84)90079-8 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!