1.
Can Artificial Intelligence Be Applied to Diagnose Intracerebral Hemorrhage under the Background of the Fourth Industrial Revolution? A Novel Systemic Review and Meta-Analysis
Zhao K, Zhao Q, Zhou P, Liu B, Zhang Q, Yang M
International journal of clinical practice. 2022;2022:9430097
Abstract
AIM: We intended to provide the clinical evidence that artificial intelligence (AI) could be used to assist doctors in the diagnosis of intracerebral hemorrhage (ICH). METHODS Studies published in 2021 were identified after the literature search of PubMed, Embase, and Cochrane. Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) was used to perform the quality assessment of studies. Data extraction of diagnosis effect included accuracy (ACC), sensitivity (SEN), specificity (SPE), positive predictive value (PPV), negative predictive value (NPV), area under curve (AUC), and Dice scores (Dices). The pooled effect with its 95% confidence interval (95%CI) was calculated by the random effects model. I-Square (I (2)) was used to test heterogeneity. To check the stability of the overall results, sensitivity analysis was conducted by recalculating the pooled effect of the remaining studies after omitting the study with the highest quality or the random effects model was switched to the fixed effects model. Funnel plot was used to evaluate publication bias. To reduce heterogeneity, recalculating the pooled effect of the remaining studies after omitting the study with the lowest quality or perform subgroup analysis. RESULTS Twenty-five diagnostic tests of ICH via AI and doctors with overall high quality were included. Pooled ACC, SEN, SPE, PPV, NPV, AUC, and Dices were 0.88 (0.83∼0.93), 0.85 (0.81∼0.89), 0.90 (0.88∼0.92), 0.80 (0.75∼0.85), 0.93 (0.91∼0.95), 0.84 (0.80∼0.89), and 0.90 (0.85∼0.95), respectively. There was no publication bias. All of results were stable as revealed by sensitivity analysis and were accordant as outcomes via subgroups analysis. CONCLUSION Under the background of the fourth industrial revolution, AI might be an effective and efficient tool to assist doctors in the clinical diagnosis of ICH.
2.
Meta-analysis of platelet-rich plasma therapy for anal fistula
Luo Q, Zhou P, Chang S
Journal of cosmetic dermatology. 2022
Abstract
OBJECTIVE To systematically evaluate the efficacy of platelet-rich plasma (PRP) in treating anal fistula. METHODS PubMed, EMBASE, and Cochrane Library databases were systematically searched for randomized controlled studies (RCTs) and case-control studies published before June 2021 on evaluating the efficacy of platelet-rich plasma (PRP) in treating anal fistula. References of the journals were manually searched for relevant studies. Literature search, screening, data extraction, and bias assessment were carried out by two researcher independently. Stata13.0 and RevMan 5.3 software were used for statistical analysis of the cure rate and recurrence rate of anal fistula. RESULTS A total of 6 case-control studies and 3 RCTs involving 289 patients were included. Meta-analysis showed that the pooled cure rate of all studies was 65% (95% CI 0.53-0.77), p = 0.000, and the pooled recurrence rate of all studies was 12% (95% CI 0.08-0.17). CONCLUSION Platelet-rich plasma is safe and effective in treating anal fistula and should be promoted and further studied in clinical practice.