A network suspected infectious disease model for the development of syphilis transmission from 2015 to 2021 in Hubei province, China

3DSlicer software-assisted neuroendoscopic surgery compared with traditional surgery on surgical effects, complications, and safety evaluation in patients with intracerebral hemorrhage: A systematic review and meta-analysis

OBJECTIVE

This study aims to comprehensively evaluate the complications, effectiveness, and safety of neuroendoscopic surgery (NS) assisted by 3DSlicer software, compared to traditional surgery in patients with intracerebral hemorrhage (IH).

METHODS

We searched for case-control trials from the Chinese Biomedical Literature data (CBM) online database, Wanfang Database, EMBASE, VIP Full-text Database, China National Knowledge Infrastructure (CNKI), Science Direct, Cochrane Library, and PubMed. The studies, published since January 2010, involved NS or traditional surgery for IH patients assisted by 3DSlicer software. Data were independently retrieved by two researchers, and the risk of bias in each study was evaluated using the Cochrane Handbook 5.3 standard.

RESULTS

A total of 591 patients from seven controlled clinical studies were included. Fixed-effect model analysis revealed a significantly higher treatment effectiveness rate in the study group (SG) (P < 0.05). Random-effects model (REM) analysis indicated that the operation time in the SG was significantly shorter (P < 0.05). Furthermore, the SG group experienced significantly shorter hospitalization time (P < 0.05). NIHSS scores in the SG were notably lower (P < 0.05). Fixed-effect model analysis also showed that the incidence of postoperative complications in the SG was significantly lower (P < 0.05).

CONCLUSION

Neuroendoscopic surgery assisted by 3DSlicer software is more effective in treating IH, enhancing prognosis, improving neurological function, and reducing complication rates. This approach appears to be a promising candidate for clinical adoption.

Relationship between BMI, indicators of lipid metabolism and diabetic neuropathy: a Mendelian randomization study

BACKGROUND

To identify the relationship between BMI or lipid metabolism and diabetic neuropathy using a Mendelian randomization (MR) study.

METHODS

Body constitution-related phenotypes, namely BMI (kg/m2), total cholesterol (TC), and triglyceride (TG), were investigated in this study. Despite the disparate origins of these data, all were accessible through the IEU OPEN GWAS database ( https://gwas.mrcieu.ac.uk/ ). Instrumental variables and F-statistics for each exposure-outcome pair were determined in weighted mode, weighted median, MR-Egger and Inverse-Variance Weighted (IVW) MR analyses. The p-value threshold was consistently set at 5.00E-08, following established methodology. The preliminary analysis utilized the IVW method to explore potential causal relationships between body constitution-related phenotypes and diabetic neuropathy. Inverse variance weighting, a technique amalgamating random variables, assigns weights inversely proportional to each variable's variance, commonly used for merging findings from independent studies. The weighted median method provides a causal estimate even when up to 50% of the instruments are invalid, enhancing robustness. The weighted mode method identifies the most common causal effect, reducing bias when some instruments exhibit horizontal pleiotropy. The Wald ratio method was utilized to calculate exposure-outcome effects, employing a range of methodologies to ensure result accuracy across different scenarios. This study addresses the critical gap in understanding the causal relationship between BMI, lipid metabolism, and diabetic neuropathy (DN). Employing a MR approach, it highlights BMI as a predictive factor for DN progression, providing insights into potential risk management strategies.

RESULTS

IVW analysis showed that BMI (P = 0.033, OR = 2.53, 95% CI 1.08-5.96) and triglycerides level (P = 0.593, OR = 1.11, 95% CI 0.77-1.60) were positively associated with the initiation of DN, indicating that the values of BMI and triglycerides are potentially the risk factors in DN development. Additionally, TC was negatively associated with the DN (P = 0.069, OR = 0.72, 95% CI = 0.50-1.03).The forest plot of advanced analysis between BMI and DN relationship indicated a positive correlation between increasing BMI and the risk of DN. In addition, it is evident that with the increase in BMI, the risk of diabetic polyneuropathy also rises. This research demonstrates a positive association between BMI and DN risk (P = 0.033, OR = 2.53, 95% CI = 1.08-5.96). However, no significant correlation was observed between triglycerides (P = 0.593) or total cholesterol (P = 0.069) and DN development, underscoring the complex interplay between lipid metabolism and DN.

CONCLUSION

This research demonstrates a positive association between the risk of DN and BMI, while no significant correlation exists between TG or TC and the development of DN. These results imply that BMI may serve as a predictive factor for the progression of DN.

Global, regional and country-specific burden of patella, tibia or fibula, or ankle fractures and its prediction to 2035: findings from global burden of disease study 2019

BACKGROUND

Bone fractures are a global public health issue and a major source of significant illness and financial hardship. However, to date, there is limited research on patella, tibia or fibula, or ankle fractures (FPTFA) disease burden.

METHODS

Using the framework of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we conducted temporal trends of disease burden, effects of sex and socio-demographic index (SDI) on age standardized prevalence rate (ASPR) and age-period-cohort model. Machine learning models were built to predict the ASPR of FPTFA in 2035.

RESULTS

In 1990 and 2019, the top three of all fractures with the highest ASPR was FPTFA. Globally, in 2019, there were 13529.45 million (95%UI: 11811.02, 15642.25), 9198.67 million (95%UI: 8518.9, 10009.91) and 77.54 million (95%UI: 34.09, 149.9) prevalent cases of fracture attributable to fall, transport injury and mechanical external force, respectively. The number of fracture prevalence and years lived with disability (YLDs), and ASPR were higher in males than in females. From 1990 to 2019, most of GBD regions showed a downward trend in average annual percent change (AAPC) of ASPR attributable to transport injuries, High-income Asia Pacific had the highest decline (AAPC= -1.81%, 95%CI: -1.89% to -1.74%). However, an upward trend in East Asia was observed (AAPC = 1.60%, 95%CI: 1.48-1.73%). With increasing SDI, the ASPR for FPTFA attributed to the fall and mechanical external force slowly increased and then turned downward, especially in high-income and high-SDI countries. The longitudinal age curve suggested that the attributed rate was increased for the three sites of lower limb fractures. The best predictive models for FPTFA caused by falls, transport injuries and mechanical external force were autoregressive integrated moving average model (ARIMA) (0,2,1), ARIMA (2,0,1) and ARIMA (0,2,2), with R2 of 0.96, 0.78 and 0.94, respectively. By 2035, ASPR for the fall-related FPTFA will continue to rise rapidly, whereas the ASPR of the transport injury-related FPTFA will gradually decrease.

CONCLUSION

FPTFA attributed to the falls is the dominant type and the burden and trends of the fall-related FPTFA are substantial. Fall prevention and access to treatment are crucial for reducing FPTFA burden.

Exploration in association between vitamin D, sleep quality, and osteoarthritis: A modeling study

Previous studies on the relationship between vitamin D, sleep quality, and osteoarthritis (OA) have been controversial and the aim of this study is to analyze the association. In this study, relevant data from 2 survey cycles (2009-2010 with 2011-2012) are downloaded from the CDC's NHANES project to analyze the relationship between vitamin D, sleep quality, and osteoarthritis, as well as other related risk factors. The analysis of statistics in this study is performed using t-tests and chi-square tests, modeling is performed using logistic regression based on NHANES weights, and other risk factors are analyzed using forest plots. In association models between serum vitamin D, sleep quality, and OA is statistically significant during the stepwise inclusion of covariates. In model 1, Q3 (OR = 1.83; 95% CI: 1.05, 3.23) and Q4 (OR = 2.22; 95% CI: 1.27, 3.94) are significant. Neither model 2 nor model 3 is statistically significant and P for trend is more than .05 in all 3 models. After the inclusion of all covariates, forest plot showed that sleep deprivation (OR = 1.64; 95% CI: 1.05, 2.56), advanced age (OR = 1.03; 95% CI: 1.01, 1.04), female (OR = 1.79; 95% CI: 1.14, 2.85), overweight (25 ≤ BMI < 30) (OR = 1.92; 95% CI: 1.05, 3.61), and obesity (≥30) (OR = 2.06; 95% CI: 1.11, 3.93) are risk factors for OA. This study is based on a larger sample and a stepwise logistic regression of multiple covariates. We concluded that vitamin D may not influence OA. However other risk factors for OA are confirmed, including advanced age, female and high BMI, especially bad sleep quality.

Potential Associations Between Vitamin Intake and Leukemia: A Cross-Sectional Study

The present study assessed potential associations between vitamin intake and leukemia in a national sample of adults in the United States. A total of 5520 participants were included in this cross-sectional study to investigate the relationship between vitamin intake (including vitamins A, C, D, and E) and leukemia. Results revealed negative associations between vitamin C and E intake and leukemia, whereas associations between vitamin A and D and leukemia were not statistically significant. For vitamin C, compared with the first tertile, the odds ratio (OR) and corresponding 95% confidential interval (CI) was 0.90 (0.75-0.95) for the second tertile and 0.82 (0.61-0.90) for the third tertile (p < 0.01). For vitamin E, compared with the first tertile, the OR and 95% CI was 0.92 (0.80-0.96) for the second tertile and 0.86 (0.71-0.92) for the third tertile (p < 0.01). Furthermore, the inverse relationship between intake of vitamins C and E and leukemia were more evident for individuals ≥60 years of age and those with a body mass index >30 kg/m2. Results of this study provide evidence suggesting that intake of vitamin C and E intake may decrease the prevalence of leukemia; however, further large-scale prospective cohort studies are needed to verify these findings.

Association between urinary metals and prostate-specific antigen in aging population with depression: a cross-sectional study

Objective

This study aims to investigate the impact of depression and urinary metals on Prostate-Specific Antigen (PSA).

Methods

Analysis was conducted on 1901 samples collected from the National Health and Nutrition Examination Survey (NHANES) database between 2001 and 2010. Analytical methods included stepwise multiple linear regression (MLR) analysis of the overall population's urinary metals and PSA relationship, analysis of urinary metals and PSA relationship in older adults and BMI subgroups, analysis of urinary metals and PSA relationship in the depressed population, and restricted cubic spline (RCS) analysis. A significance level of p < 0.05 was considered statistically significant.

Results

In the stepwise multiple linear regression, beryllium (Be) showed a dose-response association with PSA (third quartile: β = 0.05, 95%CI (0.02, 0.09); fourth quartile: β = 0.07, 95%CI (0.02, 0.12), p trend = 0.048). Subgroup analysis indicated that in individuals aged >60, Be at Q4 level [β = 0.09, 95%CI (0.05, 0.21)] exhibited a dose-response correlation with PSA. In the population with 25 ≤ BMI < 30, Be might more significantly elevate PSA, with Q4 level having a pronounced impact on PSA levels [β = 0.03, 95%CI (0.02, 1.27)]. In the depressed population, urinary cadmium (Cd) levels showed a significant positive dose-response relationship, with Q4 level of Cd having the maximum impact on PSA [β = 0.3, 95%CI (0.09, 0.49)].

Conclusion

Individuals exposed to beryllium (Be), especially the older adults and overweight, should monitor their PSA levels. In depressed patients, cadmium (Cd) levels may further elevate PSA levels, necessitating increased monitoring of PSA levels among males.

Association between low birth weight and impaired glucose tolerance in children: a systematic review and meta-analysis

Background

A potential association between the onset of diabetes and normal birth weight (NBW) has been discovered. Diverse conclusions and study methodologies exist regarding the connection between low birth weight (LBW) and impaired glucose tolerance in children, underscoring the need for further robust research. Our institution is embarking on this study to thoroughly examine the association between LBW and impaired glucose tolerance in children.

Methods

We conducted searches on Cochrane Library, ScienceDirect, EMBASE, PubMed, China National Knowledge Infrastructure (CNKI), Chinese Biomedical Literature data (CBM) online database, VIP full-text Database, and Wanfang Database to identify correlation analyses or case-control studies investigating the relationship between LBW and abnormal glucose tolerance in children. The search spanned from January 2010 to September 2023. The quality of observational studies was evaluated using the Newcastle-Ottawa Scale (NOS) tool. Data synthesis was performed using the statistical software RevMan 5.3 for meta-analysis.

Results

Based on the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines, we finally included 10 clinical control studies consisting of a total of 2971 cases. There wasn't considerably change in blood sugar levels among LBW, NBW and high birth weight (HBW) infants (P > 0.05). There was no significant difference in insulin levels between LBW infants and NBW infants (P > 0.05). The HOMA-IR of LBW infants was considerably higher than that of NBW infants (P < 0.05). The risk of abnormal glucose tolerance in LBW infants was 0.42 times higher than that in NBW and HBW infants [Fisher's Z = 0.42, 95% CI = (0.09, 0.75), P = 0.01].

Conclusion

LBW is associated with an increased risk of abnormal glucose tolerance, as indicated by elevated HOMA-IR level in LBW infants compared to NBW and HBW pediatric population. Further research is needed to confirm and expand upon these findings to better understand the complex relationship between LBW and impaired glucose tolerance in children.

Effects and safety of Ginkgo biloba on depression: a systematic review and meta-analysis

Background: Because depression is a major factor contributing to the global disease burden, we tried to analyze the effects and safety of Ginkgo biloba (GKB) on patients with depression. Methods: We conducted a literature search for articles published between January 2002 and May 2022 in seven online databases (PubMed, Scopus, Embase, Google Scholar, Web of Sciences, Cochrane Library, and China National Knowledge Infrastructure). A systematic literature review and meta-analysis were performed to compare the effects and safety of GKB on patients with depression, including subjective and objective indicators of depression evaluation. Results: In total, 21 eligible articles with nine indicators among 2074 patients were included. Several outcomes showed a difference, and the GKB group had better results than the control group, including the Hamilton Depression Scale (HAMD), after taking GKB for 4 weeks (MD = -2.86, 95%CI [-4.27, -1.46], p < 0.01), 6 weeks (mean difference (MD) = -3.36, 95%CI [-4.05, -2.67], p < 0.01), and 8 weeks (MD = -4.58, 95% CI [-6.11, -3.05], p < 0.01), modified Barthel index (MBI) (MD = 14.86, 95%CI [12.07, 17.64], p < 0.01), modified Edinburgh-Scandinavian stroke scale (MESSS) (MD = -4.57, 95%CI [-6.34, -2.79], p < 0.01), brain-derived neurotrophic factor (BDNF) (MD = 16.35, 95%CI [7.34, 25.36], p < 0.01), 5-hydroxytryptamine (5-HT) (MD = 4.57, 95%CI [3.08, 6.05], p < 0.01), and clinical efficacy (risk ratio, RR = 1.24, 95%CI [1.17, 1.32], p < 0.01). However, there were no differences in adverse events between GKB and controls. Conclusion: In conclusion, the main finding was that patients treated with GKB had better MBI, MESSS, BDNF, 5-HT, and HAMD values after 4 weeks, 6 weeks, and 8 weeks than the control group. GKB might reduce the risk of depression or depressive symptoms with safe clinical efficacy. Systematic Review Registration: identifier (INPLASY2023100052).