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
Objective: Acromegaly, a disease caused by GH/IGF-I hypersecretion, is associated with a high mortality rate; early recognition is therefore necessary to ensure successful treatment and to avoid comorbidities. We have created a symptom/sign scoring tool (ACROSCORE) for physicians to use to identify acromegaly.
Design: To compare cases of acromegaly diagnosed between 1990 and 2014 against a control group affected by non-GH-secreting pituitary tumours to identify symptoms and signs that are most discriminative for acromegaly.
Patients: Confirmed acromegaly patients and patients affected by non-GH-secreting pituitary tumours.
Measurements: In all patients, signs, symptoms and comorbidities were recorded from medical records and collected using a specifically designed questionnaire.
Results: A total of 194 acromegaly patients [115 women; mean (SD) age 47·2 (14·2) years] and 243 patients affected by non-GH-secreting pituitary tumours [131 women; mean (SD) age 45·8 (15·8) years] were included. A strong association was observed for type 2/secondary diabetes [odds ratio (OR) 3·7], hyperhidrosis (OR 6·1), thyroid hyperplasia (OR 13·9), colorectal polyps (OR 10·4), spaced teeth (OR 25·4) and carpal tunnel syndrome (OR 4·3). Based on this information, a multivariable logistic model was built and a 14-point scoring system developed. A score of 0 excludes the risk of acromegaly [positive predictive value (PV(+)) = 0·6%]; scores 1-5 comprise a grey area; scores >5 indicate that a diagnosis of acromegaly cannot be excluded (PV(+) = 46·1%).
Conclusions: Once validated in independent studies, ACROSCORE may represent a new tool for the clinical screening of acromegaly that can be used by general practitioners and nonendocrinology specialists.
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Source |
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http://dx.doi.org/10.1111/cen.12959 | DOI Listing |
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