Wei SM, Zhu Y, Wei JX, Zhang CN, Shi JY, Lai HC. Accuracy of dynamic navigation in implant surgery: A systematic review and meta-analysis. Clin Oral Implants Res. 2021 Apr;32(4):383-393. doi: 10.1111/clr.13719.
Shanghai Jiao Tong University School of Medicine (grant no. DLY201822); Shanghai Clinical Research Center for Oral Diseases (grant no. 19,411,950,100); Clinical Research Plan of SHDC (grant no. 16CR3033A).
Systematic review with meta-analysis.

Dynamic navigation may be used for most implant surgery scenarios due to its satisfactory accuracy.

Using meta-analyses, we introduce a unicellular attractor (UCA) model integrating essential features of the 'atavistic reversal', 'cancer attractor', 'somatic mutation', 'genome chaos', and 'tissue organization field' theories. The 'atavistic reversal' theory is taken as a keystone. We propose a possible mechanism of this reversal, its refinement called 'gradual atavism', and evidence for the 'serial atavism' model. We showed the gradual core-to-periphery evolutionary growth of the human interactome resulting in the higher protein interaction density and global interactome centrality in the UC center. In addition, we revealed that UC genes are more actively expressed even in normal cells. The modeling of random walk along protein interaction trajectories demonstrated that random alterations in cellular networks, caused by genetic and epigenetic changes, can result in a further gradual activation of the UC center. These changes can be induced and accelerated by cellular stress that additionally activates UC genes (especially during cell proliferation), because the genes involved in cellular stress response and cell cycle are mostly of UC origin. The functional enrichment analysis showed that cancer cells demonstrate the hyperactivation of energetics and the suppression of multicellular genes involved in communication with the extracellular environment (especially immune surveillance). Collectively, these events can unleash selfish cell behavior aimed at survival at all means. All these changes are boosted by polyploidization. The UCA model may facilitate an understanding of oncogenesis and promote the development of therapeutic strategies.

Systemic Alterations of Cancer Cells and Their Boost by Polyploidization: Unicellular Attractor (UCA) Model.

Family is one of the primary socialization contexts influencing adolescents' psychological health. In this regard, a crucial indicator of adolescents' health is their sleep quality. Nevertheless, it is still unclear how multiple family factors (i.e., demographic and relational) are intertwined with adolescents' sleep quality. For this reason, this systematic review with meta-analysis aims to comprehensively summarize and integrate previous longitudinal research investigating the reciprocal relation between demographics (e.g., family structure) and positive (e.g., family support) and negative (e.g., family chaos) relational family factors and adolescents' sleep quality. Several search strategies were applied, and a final set of 23 longitudinal studies that matched the eligibility criteria were included in this review. The total number of participants was 38,010, with an average age at baseline of 14.7 years (SD = 1.6, range: 11-18 years). On the one hand, the meta-analytic results showed that demographic factors (e.g., low socio-economic status) were not related to adolescents' sleep quality at a later time point. On the other hand, positive and negative family relational factors were positively and negatively related to adolescents' sleep, respectively. Furthermore, the results suggested that this association could be bidirectional. Practical implications and suggestions for future research are discussed.

Sleep Is a Family Affair: A Systematic Review and Meta-Analysis of Longitudinal Studies on the Interplay between Adolescents' Sleep and Family Factors.

The coronavirus disease 2019 (COVID-19) continues to spread worldwide. Integrated Chinese and Western medicine have had some successes in treating COVID-19.
This study aims to evaluate the efficacy and safety of three traditional Chinese medicine drugs and three herbal formulas (3-drugs-3-formulas) in patients with COVID-19.
Relevant studies were identified from 12 electronic databases searched from their establishment to April 7, 2022.
Randomized controlled trials (RCTs), non-RCTs and cohort studies that evaluated the effects of 3-drugs-3-formulas for COVID-19. The treatment group was treated with one of the 3-drugs-3-formulas plus conventional treatment. The control group was treated with conventional treatment.
Two evaluators screened and selected literature independently, then extracted basic information and assessed risk of bias. The treatment outcome measures were duration of main symptoms, hospitalization time, aggravation rate and mortality. RevMan 5.4 was used to analyze the pooled results reported as mean difference (MD) with 95% confidence interval (CI) for continuous data and risk ratio (RR) with 95% CI for dichotomous data.
Forty-one studies with a total of 13,260 participants were identified. Our analysis suggests that compared with conventional treatment, the combination of 3-drugs-3-formulas might shorten duration of fever (MD = -1.39; 95% CI: -2.19 to -0.59; P < 0.05), cough (MD = -1.57; 95% CI: -2.16 to -0.98; P < 0.05) and fatigue (MD = -1.36; 95% CI: -2.21 to -0.51; P < 0.05), decrease length of hospital stay (MD = -2.62; 95% CI -3.52 to -1.72; P < 0.05), the time for nucleic acid conversion (MD = -2.92; 95% CI: -4.26 to -1.59; P < 0.05), aggravation rate (RR = 0.49; 95% CI: 0.38 to 0.64; P < 0.05) and mortality (RR = 0.34; 95% CI: 0.19 to 0.62; P < 0.05), and increase the recovery rate of chest computerized tomography manifestations (RR = 1.22; 95% CI: 1.14 to 1.3; P < 0.05) and total effectiveness (RR = 1.24; 95% CI: 1.09 to 1.42; P < 0.05).
The 3-drugs-3-formulas can play an active role in treating all stages of COVID-19. No severe adverse events related to 3-drugs-3-formulas were observed. Hence, 3-drugs-3-formulas combined with conventional therapies have effective therapeutic value for COVID-19 patients. Further long-term high-quality studies are essential to demonstrate the clinical benefits of each formula. Please cite this article as: You LZ, Dai QQ, Zhong XY, Yu DD, Cui HR, Kong YF, Zhao MZ, Zhang XY, Xu QQ, Guan ZY, Wei XX, Zhang XC, Han SJ, Liu WJ, Chen Z, Zhang XY, Zhao C, Jin YH, Shang HC. Clinical evidence of three traditional Chinese medicine drugs and three herbal formulas for COVID-19: A systematic review and meta-analysis of the Chinese population. J Integr Med. 2023; 21(5): 441-454.

Clinical evidence of three traditional Chinese medicine drugs and three herbal formulas for COVID-19: A systematic review and meta-analysis of the Chinese population.

Papers