Publications by authors named "Qian-Jing Hu"

Article Synopsis
  • Pneumonia is a widespread illness that can be hard to diagnose, prompting studies into using lung ultrasound as a diagnostic tool, with mixed results prior to this research.
  • This study conducted a meta-analysis of nine studies involving 1080 subjects to evaluate the diagnostic accuracy of lung ultrasound for pneumonia, finding it has high sensitivity (97%) and specificity (94%).
  • The findings suggest that lung ultrasound is a highly accurate method for diagnosing pneumonia, providing a potentially better alternative to traditional imaging methods like chest X-rays and CT scans.
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  • * A total of 14 studies involving 2075 subjects were analyzed, revealing that IP-10 has a sensitivity of 73% and specificity of 83% for TB diagnosis, which indicates it can be a useful diagnostic tool.
  • * The results suggest that while IP-10 can enhance TB diagnosis accuracy, it should be used alongside traditional testing methods and clinical assessments for best results.
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Introduction: Tuberculous peritonitis remains a diagnostic challenge for clinicians. Many studies have investigated the usefulness of adenosine deaminase (ADA) in ascites for the diagnosis of tuberculous peritonitis; however, the overall diagnostic accuracy of ADA for tuberculous peritonitis remains unclear. The aim of the present meta-analysis was to determine the overall accuracy of ADA measurements in the diagnosis of tuberculous peritonitis.

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  • The study investigates the relationship between the MCP-1 2518 A/G polymorphism and cancer risk through a meta-analysis of 11 case-control studies involving over 3,600 participants.
  • Overall findings showed no significant link between the polymorphism and cancer risk when considering the entire dataset.
  • However, a subgroup analysis revealed a lower cancer risk associated with the polymorphism among Asian populations, indicating a potential ethnic difference in its impact on cancer susceptibility.
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Objective: The aim of the present study was to establish the predictive values of neutrophil CD64 expression in diagnosing neonatal infection.

Methods: A comprehensive search of the PubMed and Embase® literature databases identified outcome data from published studies estimating the diagnostic accuracy of neutrophil CD64 expression for neonatal infection. Summary estimates for sensitivity, specificity, diagnostic odds ratios (DOR) and the area under the summary receiver operating characteristic curve (AUC) were calculated using a bivariate random-effects approach.

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