Prognostic value of geriatric nutritional risk index in patients with diffuse large B-cell lymphoma: a meta-analysis

Background Geriatric nutritional risk index (GNRI) on the prognosis of patients with diffuse large B-cell lymphoma (DLBCL) remains unclear. The purpose of this meta-analysis was to discuss the value of the GNRI in evaluating long-term outcomes in DLBCL. Methods We systematically and roundly retrieved PubMed, Cochrane Library, Embase, Scopus and Web of Science electronic databases from inception of the databases to March 20, 2023. At the same time, we calculated the pool hazard ratios (HRs) with their 95% confidence interval (CI) for overall survival and progression-free survival to assess the effect of GNRI on the prognosis of DLBCL patients. Results In our primary meta-analysis, 7 trials with a total of 2448 patients were enrolled. Results showed that lower level of GNRI was related to poorer overall survival (HR = 1.78, 95% CI 1.27, 2.50, p < 0.01) and worse progression-free survival (HR = 2.31, 95% CI 1.71, 3.13, p < 0.01) in DLBCL patients. Conclusion The results of our meta-analysis indicate that a lower GNRI significantly associated with poorer prognosis for DLBCL. It is believed that GNRI was a promisingly predictive indicator of survival outcomes in DLBCL patients. However, large multicenter prospective studies are necessary to verify the results (AU)

Prognostic value of geriatric nutritional risk index in patients with diffuse large B-cell lymphoma: a meta-analysis.

BACKGROUND: Geriatric nutritional risk index (GNRI) on the prognosis of patients with diffuse large B-cell lymphoma (DLBCL) remains unclear. The purpose of this meta-analysis was to discuss the value of the GNRI in evaluating long-term outcomes in DLBCL. METHODS: We systematically and roundly retrieved PubMed, Cochrane Library, Embase, Scopus and Web of Science electronic databases from inception of the databases to March 20, 2023. At the same time, we calculated the pool hazard ratios (HRs) with their 95% confidence interval (CI) for overall survival and progression-free survival to assess the effect of GNRI on the prognosis of DLBCL patients. RESULTS: In our primary meta-analysis, 7 trials with a total of 2448 patients were enrolled. Results showed that lower level of GNRI was related to poorer overall survival (HR = 1.78, 95% CI 1.27, 2.50, p < 0.01) and worse progression-free survival (HR = 2.31, 95% CI 1.71, 3.13, p < 0.01) in DLBCL patients. CONCLUSION: The results of our meta-analysis indicate that a lower GNRI significantly associated with poorer prognosis for DLBCL. It is believed that GNRI was a promisingly predictive indicator of survival outcomes in DLBCL patients. However, large multicenter prospective studies are necessary to verify the results.

Exercise intervention for patients with chronic low back pain: a systematic review and network meta-analysis.

Purpose: Chronic low back pain (CLBP) is an aging and public health issue that is a leading cause of disability worldwide and has a significant economic impact on a global scale. Treatments for CLBP are varied, and there is currently no study with high-quality evidence to show which treatment works best. Exercise therapy has the characteristics of minor harm, low cost, and convenient implementation. It has become a mainstream treatment method in clinics for chronic low back pain. However, there is insufficient evidence on which specific exercise regimen is more effective for chronic non-specific low back pain. This network meta-analysis aimed to evaluate the effects of different exercise therapies on chronic low back pain and provide a reference for exercise regimens in CLBP patients. Methods: We searched PubMed, EMBASE, Cochrane Library, and Web of Science from inception to 10 May 2022. Inclusion and exclusion criteria were used for selection. We collected information from studies to compare the effects of 20 exercise interventions on patients with chronic low back pain. Results: This study included 75 randomized controlled trials (RCTs) with 5,254 participants. Network meta-analysis results showed that tai chi [standardized mean difference (SMD), -2.11; 95% CI, -3.62 to -0.61], yoga (SMD, -1.76; 95% CI -2.72 to -0.81), Pilates exercise (SMD, -1.52; 95% CI, -2.68, to -0.36), and sling exercise (SMD, -1.19; 95% CI, -2.07 to -0.30) showed a better pain improvement than conventional rehabilitation. Tai chi (SMD, -2.42; 95% CI, -3.81 to -1.03) and yoga (SMD, -2.07; 95% CI, -2.80 to -1.34) showed a better pain improvement than no intervention provided. Yoga (SMD, -1.72; 95% CI, -2.91 to -0.53) and core or stabilization exercises (SMD, -1.04; 95% CI, -1.80 to -0.28) showed a better physical function improvement than conventional rehabilitation. Yoga (SMD, -1.81; 95% CI, -2.78 to -0.83) and core or stabilization exercises (SMD, -1.13; 95% CI, -1.66 to -0.59) showed a better physical function improvement than no intervention provided. Conclusion: Compared with conventional rehabilitation and no intervention provided, tai chi, toga, Pilates exercise, sling exercise, motor control exercise, and core or stabilization exercises significantly improved CLBP in patients. Compared with conventional rehabilitation and no intervention provided, yoga and core or stabilization exercises were statistically significant in improving physical function in patients with CLBP. Due to the limitations of the quality and quantity of the included studies, it is difficult to make a definitive recommendation before more large-scale and high-quality RCTs are conducted.

Risk prediction models for intracranial hemorrhage in acute ischemic stroke patients receiving intravenous alteplase treatment: a systematic review.

Objectives: To identify and compare published models that use related factors to predict the risk of intracranial hemorrhage (ICH) in acute ischemic stroke patients receiving intravenous alteplase treatment. Methods: Risk prediction models for ICH in acute ischemic stroke patients receiving intravenous alteplase treatment were collected from PubMed, Embase, Web of Science, and the Cochrane Library up to April 7, 2023. A meta-analysis was performed using Stata 13.0, and the included models were evaluated using the Prediction Model Risk of Bias Assessment Tool (PROBAST). Results: A total of 656 references were screened, resulting in 13 studies being included. Among these, one was a prospective cohort study. Ten studies used internal validation; five studies used external validation, with two of them using both. The area under the receiver operating characteristic (ROC) curve for subjects reported in the models ranged from 0.68 to 0.985. Common predictors in the prediction models include National Institutes of Health Stroke Scale (NIHSS) (OR = 1.17, 95% CI 1.09-1.25, p < 0.0001), glucose (OR = 1.54, 95% CI 1.09-2.17, p < 0.05), and advanced age (OR = 1.50, 95% CI 1.15-1.94, p < 0.05), and the meta-analysis shows that these are independent risk factors. After PROBAST evaluation, all studies were assessed as having a high risk of bias but a low risk of applicability concerns. Conclusion: This study systematically reviews available evidence on risk prediction models for ICH in acute ischemic stroke patients receiving intravenous alteplase treatment. Few models have been externally validated, while the majority demonstrate significant discriminative power.