Prognostic value of circulating tumor DNA in treated gastric cancer patients
Therefore, this study aims to investigate the association between ctDNA and prognosis in gastric cancer patients receiving treatment through a meta-analysis. The results indicated that the ctDNA status in treated gastric cancer patients was significantly associated with overall survival (HR = 3.95 [95% CI: 2.77-5.62]), progression-free survival (HR = 2.53 [95% CI: 1.84-3.47]), and recurrence-free survival (HR = 6.05 [95%CI:3.55-10.3]).
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Effectiveness of Interventions to Prevent Frailty in Older Adults
This systematic review and meta-analysis aimed to evaluate the effectiveness of interventions for preventing or managing frailty in adults aged 65 and over, based on evidence from randomized controlled trials. In subgroup analyses, combined interventions (Hedges' g = 2.843, SE = 1.651, 95% confidence interval [0.376, 6.062]) showed a larger effect size than other intervention types; however, subgroup analyses were not statistically significant (p = .080).
Standard additionTocilizumab, atezolizumab, and stereotactic radiotherapy in recurrent…
This study aimed to test the safety and efficacy of the combination of tocilizumab (anti-IL6R), atezolizumab [anti-programmed death-ligand 1 (PD-L1)], and FSRT in patients with recurrent glioblastoma (rGBM). These findings suggest that the combination of tocilizumab, atezolizumab, and FSRT was safe and well tolerated in patients with rGBM but did not achieve the pre-specified efficacy outcome.
Standard additionDiagnostic and Treatment Intervals for Colorectal Cancer and…
This study aimed to assess associations between the length of diagnostic and treatment intervals and overall survival and stage of disease in colorectal cancer using Australian data. Three models, assessing the diagnostic and the treatment intervals showed a nonlinear association with both very short and long intervals associated with poorer outcomes.
Early cancer detection or preventionArtificial Intelligence for early detection of Oral Squamous Cell Carcinoma
OBJECTIVES: This systematic review aimed to synthesize evidence on artificial intelligence (AI) methods for the detection, classification and segmentation of oral squamous cell carcinoma (OSCC), oral potentially malignant disorders (OPMDs) and oral epithelial dysplasia (OED) across imaging, histopathology, spectroscopic and molecular data modalities. Accuracy was the most commonly reported metric (88.1%), followed by specificity (47.6%), sensitivity (42.9%), AUC (35.7%), and F1-score (33.3%).