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Filename: drivers/Session_files_driver.php
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File: /var/www/html/index.php
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Function: require_once
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Filename: Session/Session.php
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File: /var/www/html/index.php
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Function: require_once
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Message: Undefined array key "choices"
Filename: controllers/Detail.php
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Line: 249
Function: _error_handler
File: /var/www/html/index.php
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Function: require_once
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Filename: controllers/Detail.php
Line Number: 249
Backtrace:
File: /var/www/html/application/controllers/Detail.php
Line: 249
Function: _error_handler
File: /var/www/html/index.php
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Message: Trying to access array offset on value of type null
Filename: controllers/Detail.php
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File: /var/www/html/application/controllers/Detail.php
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Function: _error_handler
File: /var/www/html/index.php
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Function: require_once
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Message: Trying to access array offset on value of type null
Filename: controllers/Detail.php
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File: /var/www/html/application/controllers/Detail.php
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Function: _error_handler
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Filename: models/Detail_model.php
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File: /var/www/html/application/models/Detail_model.php
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Function: strpos
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Function: insertAPISummary
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Function: require_once
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Filename: helpers/my_audit_helper.php
Line Number: 8919
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File: /var/www/html/application/helpers/my_audit_helper.php
Line: 8919
Function: str_replace
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Function: formatAIDetailSummary
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Filename: controllers/Detail.php
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Line: 256
Function: _error_handler
File: /var/www/html/index.php
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Message: Trying to access array offset on value of type null
Filename: controllers/Detail.php
Line Number: 256
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File: /var/www/html/application/controllers/Detail.php
Line: 256
Function: _error_handler
File: /var/www/html/index.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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File: /var/www/html/index.php
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Filename: controllers/Detail.php
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Function: _error_handler
File: /var/www/html/index.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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File: /var/www/html/index.php
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Filename: controllers/Detail.php
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Function: _error_handler
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Filename: controllers/Detail.php
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File: /var/www/html/index.php
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Filename: controllers/Detail.php
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Filename: controllers/Detail.php
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File: /var/www/html/application/controllers/Detail.php
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Function: _error_handler
File: /var/www/html/index.php
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Filename: controllers/Detail.php
Line Number: 260
Backtrace:
File: /var/www/html/application/controllers/Detail.php
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Function: require_once
Purpose: Radiation-induced liver disease (RILD) is the most severe complication in liver cancer treatment. The aim of this study was to identify dosimetric predictors for RILD in primary liver carcinoma (PLC) patients with Child-Pugh Grade A cirrhosis after hypofractionated conformal radiotherapy (CRT).
Methods And Materials: A total of 114 eligible patients (mean age 45 years old) were enrolled and treated. The mean gross tumor volume (GTV) was (378.3±308.1) cm(3). A median dose of 53 Gy was delivered to the PLC by hypofractionated CRT (three fractions/week) with a median fraction size of 4.6 Gy (range: 4-6 Gy).
Results: Patients were followed up for 1-79 months (median 19 months) after the completion of irradiation. RILD was diagnosed in nine (7.9%) patients. Univariate analyses revealed that GTV and the percentage of normal liver volume receiving more than 5-40 Gy irradiations (V(5-40)) were related to the risk of developing RILD. Multivariate analyses demonstrated that only GTV and V(20) were independent predictors. Using V(20) as the predictor for RILD, the accuracy, sensitivity, and specificity was 76.3%, 88.9%, and 75.2%, respectively.
Conclusions: Our data suggest that V(20) is the unique significant dosimetric predictor for RILD risks in PLC patients with Child-Pugh Grade A cirrhosis after hypofractionated CRT.
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http://dx.doi.org/10.1016/j.radonc.2010.10.014 | DOI Listing |
Thromb Haemost
December 2024
Dep of Cardiological, Thoracic and Vascular Sciences, University of Padua ; 2nd Chair of Internal Medicine, Padua, Italy.
Background: Portal vein system-specific risk factors contributing to portal vein thrombosis in cirrhosis are poorly investigated.
Aims: To quantify contact system and intrinsic pathway activation in peripheral compared to portal venous blood in patients with decompensated cirrhosis.
Methods: Adult patients with cirrhosis undergoing transjugular intrahepatic portosystemic shunt underwent simultaneous blood sampling from a peripheral vein and the portal vein.
J Viral Hepat
January 2025
Department of Gastroenterology and Hepatology, Koç University Medical School, Istanbul, Turkey.
In coronavirus disease 2019 (COVID-19), older age and co-morbidities are associated with mortality. Among liver disease aetiologies alcoholic liver disease was associated with mortality. Chronic hepatitis delta (CHD) had not been studied.
View Article and Find Full Text PDFWorld J Exp Med
December 2024
Department of Hepatology and Gastroenterology, National Liver Institute, Menoufia University, Shebin El-Kom 32511, Egypt.
Background: The use of dapagliflozin in patients with cirrhosis has been relatively restricted due to concerns regarding its overall safety and pharmacological profile in this population.
Aim: To determine the safety and effectiveness of dapagliflozin in the co-management of diabetes mellitus and cirrhosis with or without ascites.
Methods: The patients studied were divided into two groups: 100 patients in the control group received insulin, while 200 patients received dapagliflozin.
Front Pharmacol
December 2024
Department of Pharmacy, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China.
Objectives: Exploring adjustments to the voriconazole dosing program based on therapeutic drug monitoring results to implement individualized therapy.
Methods: PubMed and Embase were systematically searched to obtain study about voriconazole dose adjustment program guided by therapeutic drug monitoring. Quality evaluation and summarization of the obtained studies were performed to obtain program adjustments for voriconazole under therapeutic drug monitoring.
Cancer Med
December 2024
Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Background: The impact of gut microbiome on hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) is unclear. We aimed to evaluate the potential correlation between gut microbiome and HBV-related HCC and introduced novel machine learning (ML) signatures based on gut microbe to predict the risk of HCC.
Materials And Methods: A total of 640 patients with chronic liver diseases or HCC were prospectively recruited between 2019 and 2022.
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