Publications by authors named "J R Salameh"

Guidelines suggest the Liver Imaging Reporting and Data System (LI-RADS) may not be applicable for some populations at risk for hepatocellular carcinoma (HCC). However, data assessing the association of HCC risk factors with LI-RADS major features are lacking. To evaluate whether the association between HCC risk factors and each CT/MRI LI-RADS major feature differs among individuals at-risk for HCC.

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Background: We evaluated reporting of diagnostic test accuracy (DTA) systematic reviews using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-DTA and PRISMA-DTA for abstracts.

Methods: We searched MEDLINE for recent DTA systematic reviews (September 2023-Mar 2024) to achieve a sample size of 100. Analyses evaluated adherence to PRISMA-DTA (and abstracts), on a per-item basis.

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The present study examined the association between adverse childhood experiences (ACEs) and body mass index (BMI) status among children and youth with special health care needs (CYSHCN), and the role of health characteristics and lifestyle factors in predicting BMI. Data from the 2016-2020 National Survey of Children's Health were utilized. Key variables included: ACEs, BMI status, level of functional impairment, depression, weekly level of physical activity, and daily screen time.

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Article Synopsis
  • A customized version of the QUADAS-2 tool was developed to assess the risk of bias and applicability in 37 studies related to LI-RADS, a classification system for diagnosing liver cancer.
  • The studies, published between 2017 and 2022, focused on the diagnostic accuracy of imaging methods like CT, MRI, and ultrasound for Hepatocellular Carcinoma (HCC), and two experienced reviewers independently evaluated the risk of bias.
  • Findings revealed that 31 of the 37 studies had a high risk of bias, with issues particularly in patient selection and study flow, highlighting the need for improved research practices to enhance the validity of LI-RADS studies.
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Article Synopsis
  • The study evaluates how the presence of concurrent LR-5 observations impacts the likelihood that LR-3 or LR-4 observations indicate hepatocellular carcinoma (HCC), using a meta-analysis approach.
  • The research analyzed data from 29 studies involving 2,591 observations across 1,456 patients, examining the predictive values of LR-3 and LR-4 with and without concurrent LR-5 observations.
  • Results showed no significant difference in the positive predictive value for LR-3 and LR-4 observations whether concurrent LR-5 was present or not, suggesting that the presence of LR-5 does not substantially affect HCC diagnosis.
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