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
98%
921
2 minutes
20
The hemoglobin glycation index (HGI) has emerged as a pivotal biomarker for evaluating long-term glycemic control, offering a more comprehensive assessment compared with conventional glycated hemoglobin (HbA1c) measurements. Elevated HGI levels are significantly correlated with the incidence of cardiometabolic diseases (CMDs). This review synthesizes current evidence on the clinical utility of the HGI across coronary artery disease (CAD), hypertension, heart failure (HF), diabetes mellitus (DM), serum uric acid (SUA) levels, and nonalcoholic fatty liver disease (NAFLD), thereby providing clinicians with an enhanced framework for precise disease stratification, therapeutic optimization, and prognostic prediction.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12261972 | PMC |
http://dx.doi.org/10.1111/jch.70092 | DOI Listing |