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
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A retrieval of relevant literature on hepatic nodular lesions, gastric cancer (GC), and Crohn's disease (CD) was conducted from Chinese and English databases. Meta-analysis was performed using Review Manager 5.4 software and the MIDAS package in Stata 18.0. Results from 11 studies comprising 1847 patients were synthesized. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio with 95% confidence intervals were: 0.91 (0.84-0.95), 0.73 (0.65-0.79), 3.30 (2.60-4.30), 0.13 (0.07-0.23), and 26.00 (12.00-53.00), respectively. Significant statistical heterogeneity was found in sensitivity and specificity (P<0.05), with specificity heterogeneity originating from n, type, and mode (P<0.05). Sensitivity and specificity for n, type, object, and mode were non-heterogeneous (P>0.05). The combined AUC from SROC curve analysis of the 11 studies was 0.85. Deeks' funnel plot asymmetry test yielded a -value of 0.01, indicating potential bias across studies in the diagnostic odds ratio funnel plot. Fagan's nomogram demonstrated that using CT for diagnostic modeling increased the post-test probability of correctly diagnosing hepatic nodular lesions, GC, and CD from 50.00% to 77.00%. Overall, multi-detector CT shows good diagnostic value for hepatic nodular lesions, GC, and CD, supporting its clinical flexibility based on patient-specific considerations.
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Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11411159 | PMC |
http://dx.doi.org/10.62347/SREJ4505 | DOI Listing |