A meta-analysis for the diagnostic accuracy of SelectMDx in prostate cancer.
Hanting WuYanling WuPeijie HeJuan LiangXiujuan XuConghua JiPublished in: PloS one (2024)
To overview the diagnostic accuracy of SelectMDx for the detection of clinically significant prostate cancer and to review sources of methodologic variability. Four electronic databases, including PubMed, Embase, Web of Science, and Cochrane Library were searched for eligible studies investigating the diagnostic value of SelectMDx compared with the gold standard. The pooled sensitivity, specificity, and positive and negative predictive values were calculated. Included studies were assessed according to the Standards for Quality Assessment of Diagnostic Accuracy Studies 2 tool. The review identified 14 relevant publications with 2579 patients. All reports constituted phase 1 biomarker studies. Pooled analysis of findings found an area under the receiver operating characteristic analysis curve of 70% [95% CI, 66%-74%], a sensitivity of 81% [95% CI, 69%-89%], and a specificity of 52% [95% CI, 41%-63%]. The positive likelihood ratio was 1.68, and the negative predictive value is 0.37. Factors that may influence variability in test results included the breath collection method, the patient's physiologic condition, the test environment, and the method of analysis. Considerable heterogeneity was observed among the studies owing to the difference in the sample size. SelectMDx appears to have moderate to good diagnostic accuracy in differentiating patients with clinically significant prostate cancer from people at high risk of developing prostate cancer. Higher-quality clinical studies assessing the diagnostic accuracy of SelectMDx for clinically significant cancer are still needed.
Keyphrases
- prostate cancer
- radical prostatectomy
- case control
- public health
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- squamous cell carcinoma
- randomized controlled trial
- clinical trial
- computed tomography
- magnetic resonance
- single cell
- emergency department
- high intensity
- patient reported outcomes
- data analysis
- real time pcr
- sensitive detection
- childhood cancer