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: 3122
Function: getPubMedXML
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
We describe the development of a clinical algorithm to differentiate melancholic from non-melancholic depression, using refined sets of 'endogeneity' symptoms together with clinician-rated CORE scores assessing psychomotor disturbance. Assignment by the empirically developed algorithm is contrasted with assignment by DSM-III-R and with several other melancholia sub-typing indices. Both the numbers of 'melancholics' assigned by the several systems and their capacity to distinguish 'melancholics' on clinical, demographic and a biological index test (the DST) varied across the systems with the algorithm being as 'successful' as several systems that include inter-episode and treatment response variables. Analyses provide information on the criteria set developed for DSM-IV definition of 'melancholia'.
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Source |
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http://dx.doi.org/10.1017/s003329170003508x | DOI Listing |
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