Can Salt Valproate Prevent Switch Associated With Antidepressants in Depressive Patients?Meta-analysis From Chinese Data (Preprint)

2021 ◽  
Author(s):  
Shen Dong ◽  
Wangqiang Lv ◽  
Fengli Sun ◽  
Weidong Jin
Keyword(s):  
Combination Treatment ◽  
Case Reports ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Mood Stabilizer ◽  
Combination Group ◽  
China National Knowledge Infrastructure ◽  
Switch Rate ◽  
Depressive Patients

BACKGROUND There are many ways to strengthen the effects of treatment for depressive patients,in which, add on mood stabilizer is one of these many ways. And at same time,it was very common that antidepressant induce switch to mania.Does the mood stabilizer can prevent the switch?This study is that assessment the difference between combination treatment of valproate and antidepressant and monotherapy antidepressant. OBJECTIVE to assess the preventing switch effect of valproate in depressive patients treated by antidepressant METHODS We searched Chinese Biomedical Database(CBM), China National Knowledge Infrastructure(CNKI) , WANFANG database,and Chinese Social Sciences Citation Index(CSSCI) in Chinese to find literature from 1 January 2005 to 1 January 2020 related to the study in model of “comparison of switch rate between combination treatment of valproate and antidepressant and monotherapy of antidepressant in depressive patients” ,among which results such as comments, letters, reviews and case reports were excluded. The rate of switch between groups was synthesized and discussed. RESULTS A total of 549 subjects were included in 7 studies,in which in 279 cases are in combination group and 270 cases are in group of monotherapy by antidepressant . Random effect model is used to account for the data by Revman 5.2. The results showed that the switch rate of valproate group was 0.11%(3/279),switch rate of antidepressant group was 11.11%( 30/270), which was very different in switch rate(OR=0.13 ,95% CI: 0.05–0.35) and also indicated that valproate reduced switch rate was 99%[ (11.11%-0.11%)/11.11%]. In sodium valproate group, switch rate was 0%，while switch rate in antidepressant was 5.7%( OR=0.18,95%CI=0.04-0.84),which was significantly different(Z=2.18,P=0.03). In magnesium valproate group, switch rate was 2.2%,while switch rate in antidepressant was16.92%( OR=0.11,95%CI=0.03-0.39),which was significantly different(Z=3.47,P=0.0005). CONCLUSIONS The salt valproate can reduced switch rate related to antidepressant in depressive patients. In this study, salt valproate reduce 99% switch rate. CLINICALTRIAL NO

scholarly journals How About Effect of Lithium Carbonate on Preventive Switch Induced by Antidepressants in Patients With Depressive Episode? Chinese Data Analysis

2021 ◽  
Author(s):  
Wangqiang Lv ◽  
Tao Hejian ◽  
Sun Fengli ◽  
Jin Weidong
Keyword(s):  
Depressive Episode ◽  
Bipolar Depression ◽  
Case Reports ◽  
Random Effect ◽  
Random Effect Model ◽  
Mood Stabilizer ◽  
Lithium Carbonate ◽  
Depression Group ◽  
Switch Rate ◽  
Depressive Episodes

Abstract Background: Although mania or hypomania was defined as indispensable for bipolar disorder, depressive episodes are more common and impairing, with proven response to treatments.So the prevention switch was a important affair in clinical psychiatryMethods: We searched CBM, CNKI, WANFANG and CSSCI in Chinese to find literature from July 1 2000 to July 31 2020 related to the study in model of “comparison of switch rate between combination treatment of lithium and antidepressant and monotherapy of antidepressant in patients with depressive episode”, among which results such as comments, letters, reviews and case reports were excluded. The rate of switch between groups was synthesized and discussed. Result: A total of 695 subjects were included in 9 studies. Random effect model is used to account for the data by Revman 5.2. The results showed that the switch rate of lithium carbonate was 8.28%(29/350),switch rate of antidepressant was 25.29%(87/344), which was very different in switch rate(OR=0.25, 95% CI: 0.16–0.39) and also indicated that lithium reduced switch rate was 67.25%(25.29%-8.28%/25.29%). In bipolar depression group, lithium reduced switch rate was 68.11%(25.84%-8.24%/25.84%). In depression group, lithium reduced switch rate was 67.34%(25.29%-8.26%/25.29%). In group of patients treated by SSRI, lithium reduced switch rate was 60.3%(29.85%-11.85%/29.85%).In group of patients treated by TCA, lithium reduced switch rate was 73.14%(22.28%-6.01%/22.28%). Conclusion: As typical mood stabilizer, lithium carbonate can reduced switch rate related to antidepressant in patients with depressive episode.

scholarly journals Meta-analysis of Salt Valproate Prevent Switch Associated with Antidepressants in Chinese Depressive Patients

2021 ◽  
Author(s):  
Dong Shen ◽  
Wangqiang Lv ◽  
Fengli Sun ◽  
Jin Weidong
Keyword(s):  
Social Sciences ◽  
Sodium Valproate ◽  
Citation Index ◽  
Meta Analysis ◽  
Combination Group ◽  
China National Knowledge Infrastructure ◽  
Knowledge Infrastructure ◽  
Switch Rate ◽  
Depressive Patients ◽  
Social Sciences Citation Index

Abstract Objective: to study the efficacy of valproate in preventing switch rate related to antidepressant in depressive patients. Methods: The related literature were searched in Chinese Biomedical Database(CBM), China National Knowledge Infrastructure(CNKI) , WANFANG database,and Chinese Social Sciences Citation Index(CSSCI) from 1 January 2005 to 1 January 2020 The rate of switch between groups was synthesized and discussed.Result:A total of 549 subjects were included in 7 studies,in which in 279 cases are in combination group and 270 cases are in group of monotherapy by antidepressant . The results showed switch rate of valproate group was 0.11%,switch rate of antidepressant group was 11.11%, which was very different (OR=0.13 ,95% CI: 0.05–0.35) and also indicated that valproate reduced switch rate was 99%[ (11.11%-0.11%)/11.11%]. In sodium valproate group, switch rate was 0%，while switch rate in antidepressant was 5.7%( OR=0.18,95%CI=0.04-0.84,Z=2.18,P=0.03). In magnesium valproate group, switch rate was 2.2%,while switch rate in antidepressant was16.92% ( OR=0.11,95%CI=0.03-0.39,Z=3.47, P=0.0005).Conclusion:The salt valproate can reduced switch rate related to antidepressant in depressive patients.

scholarly journals The Study of Diagnostic Value of Bipolarity Index for Bipolar Disorder in China: Meta-analysis of Sensitivity and Specificity

2020 ◽  
Author(s):  
Fengli Sun ◽  
Zhu Jianfeng ◽  
Tao Hejian ◽  
Jin Weidong
Keyword(s):  
Bipolar Disorder ◽  
Predictive Value ◽  
Case Reports ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Diagnostic Value ◽  
Psychiatric Clinic ◽  
Significant Heterogeneity ◽  
Study Results

Abstract BackgroundThe diagnosis of bipolar disorder is still one of the key problems in psychiatric clinic. Although DSM-5 has made some important changes, it has not completely changed the missed diagnosis and misdiagnosis of bipolar disorder.It was very important that diagnostic scale was used in clinic.But the study results of assist diagnostic scale for bipolar disorder should been concluded and analyzed.Bipolarity index was one of assist diagnostic scale,which should be analyzed comprehensively.MethodsWe searched CBM, CNKI , WANFANG and CSSCI in Chinese to find literature from Julyr 31 2004 to July 31 2020 related to Bipolarity Index in diagnosis for bipolar disorder ,among which results such as comments, letters, reviews and case reports were excluded. The rate of sensitivity,specificity,accuracy,positive predictive value and negative predictive value in diagnosis was synthesized and discussed.ResultsA total of 1237 subjects were included in 5 studies. Random effect model is used to account for the data by Revman 5.2. The results showed that the sensitivity of BI in diagnostic was 0.93 (95% CI: 0.93–1.00), the specificity was 85% (95% CI: 0.69–0.96). the positive predict value was 74% (95% CI: 0.53–0.91).the negative predict value was 95% (95% CI: 0.81–1.00).and accuracy was 86% (95% CI: 0.77–0.93). Significant heterogeneity was detected across studies regarding these incidence estimates. ConclusionThe idea diagnostic value of BI was found. although the significant heterogeneity detected in studies.We must interpret the results with caution and also put attention to this result,which include comparison to other diagnostic scale,perfecting sue of BI in clinical psychiatry.

scholarly journals Association of homocysteine with ankylosing spondylitis: a systematic review and meta-analysis

2021 ◽  
Vol 61 (1) ◽  
Author(s):  
Hui-hui Li ◽  
Xue-quan Li ◽  
Lin-tao Sai ◽  
Yi Cui ◽  
Jia-hui Xu ◽  
...  
Keyword(s):  
Ankylosing Spondylitis ◽  
Disease Activity ◽  
Lupus Erythematosus ◽  
Methylenetetrahydrofolate Reductase ◽  
Activity Index ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Control Group ◽  
China National Knowledge Infrastructure

Abstract Background Hyperhomocysteinemia is associated with autoimmune diseases such as ankylosing spondylitis (AS), systemic lupus erythematosus (SLE), and rheumatoid arthritis (RA). Current findings regarding plasma/serum homocysteine (HCY) levels in AS patients are inconsistent. This study aims to systematically evaluate the association between circulating HCY levels and AS. Methods Online electronic databases (PubMed, Web of Science, Embase, ScienceDirect, China National Knowledge Infrastructure (CNKI), and Wanfang data) were used to retrieve all relevant articles published up to May 7, 2020. The pooled standardized mean difference (SMD) with 95% confidence interval (CI) was calculated using the random-effect model, Stata16 software. Results Nine articles containing 778 AS patients and 522 controls were included in this meta-analysis. No significant differences in HCY levels were found between AS and control groups (pooled SMD = 0.46, 95% CI = − 0.30 to 1.23, P = 0.23). However, subgroup analysis suggested that HCY levels were significantly higher (P < 0.05) in the AS group treated with methotrexate (MTX) compared with the control group. In contrast, HCY levels were significantly (P < 0.05) lower in the AS group receiving anti-TNF-α treatment compared with the control group. No significant differences were detected between HCY levels and disease activity scores (Bath AS disease activity index, BASDAI), and methylenetetrahydrofolate reductase (MTHFR) C677T genotype. Conclusion This meta-analysis indicates that HCY levels are similar between AS and controls, and do not correlate with disease activity. However, different medical treatments cause fluctuations of circulating HCY levels in AS patients. Further and larger-scale studies are needed to confirm these findings. Trial registration This study was registered at international prospective register of systematic reviews (PROSPERO), registration number: CRD42020184426.

scholarly journals Age at last birth and risk of developing epithelial ovarian cancer: a meta-analysis

2019 ◽  
Vol 39 (9) ◽  
Author(s):  
Yanjun Wu ◽  
Wenjun Sun ◽  
Xueling Xin ◽  
Weijing Wang ◽  
Dongfeng Zhang
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Dose Response ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Response Analysis ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Negatively Associated

Abstract Background: Many epidemiologic studies have explored the association between age at last birth (ALB) and the risk of epithelial ovarian cancer, but the results remain controversial. Methods: A literature search was performed in PubMed, Web of Science, China National Knowledge Infrastructure (CNKI) and WanFang Med Online for relevant articles published up to April 2019. Pooled relative risks (RRs) with 95% confidence intervals (CIs) were calculated using a random-effect model. Dose–response relationship was assessed by restricted cubic spline model. Results: Thirteen articles with 19,959 cases and 2,451,071 participants were included in our meta-analysis, and we found that ALB was negatively associated with epithelial ovarian cancer. The pooled RR (95% CI) of epithelial ovarian cancer for the highest versus the lowest stratification of ALB was 0.77 (0.65–0.91). Furthermore, significantly negative associations were shown in case–control studies (RR: 0.73; 95% CI: 0.60–0.88), studies conducted in North America (RR: 0.71; 95% CI: 0.60–0.84), studies with adjustment for parity (RR: 0.76; 95%CI: 0.63–0.93), studies with adjustment for tubal ligation (RR: 0.74; 95% CI: 0.58–0.94), in the subgroup analysis. In dose–response analysis, the risk of epithelial ovarian cancer decreased nonlinearly with the increase of ALB, and the negative results become significant when ALB was 22.5 years old. Conclusion: This meta-analysis suggested that ALB was negatively associated with the risk of epithelial ovarian cancer. The risk of epithelial ovarian cancer decreased gradually with the ALB for women.

scholarly journals The association between osteopontin and tuberculosis: A systematic review and meta-analysis

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0242702
Author(s):  
Dongguang Wang ◽  
Xiang Tong ◽  
Lian Wang ◽  
Shijie Zhang ◽  
Jizhen Huang ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Elevated Serum ◽  
Disease Diagnosis ◽  
Cochrane Library ◽  
Severity Assessment ◽  
China National Knowledge Infrastructure ◽  
Potential Biomarker ◽  
Increased Risk

Objective We examined the data reported in the studies for comparison of osteopontin (OPN) levels in tuberculosis and healthy participants, and to discuss whether OPN could be extended to disease diagnosis, severity assessment and therapeutic effect monitering. Methods A systematic literature search was conducted in PubMed, EMBASE, Scopus, the Cochrane Library, Web of Science, the China National Knowledge Infrastructure (CNKI) and WanFang databases. The pooled risk estimates were shown in standardized mean difference (SMD) with 95% confidence interval (CI) for OPN levels. The random effect model was used according to the test of heterogeneity among studies. Subgroup analyses and meta-regression models were performed to identify the possible sources of heterogeneity. Results 17 retrospective studies with 933 tuberculosis participants and 786 healthy controls were finally included in this article. In the primary meta-analysis, higher serum/plasma OPN levels were found in tuberculosis patients (SMD = 2.58, 95%CI = 2.09~3.08, P<0.001). Besides, pooled results from positive acid-fast bacilli (AFB) staining and imaging-severe tuberculosis group demonstrated higher OPN concentrations (SMD = 0.90, 95%CI = 0.58~1.21, P<0.001; SMD = 1.11, 95%CI = 0.90~1.33, P<0.001; respectively), and OPN levels decreased after two months of standard anti-tuberculosis therapy (SMD = 2.10, 95%CI = 1.36~2.85, P<0.001). Conclusions Elevated serum/plasma OPN levels may be associated with an increased risk of tuberculosis, while further well-designed studies are needed. Moreover, OPN could be considered as a potential biomarker for tuberculosis surveillance and severity assessment.

scholarly journals Association of rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms with psoriasis susceptibility: A meta-analysis of case-control studies

2019 ◽  
Author(s):  
Hai-bo Gong ◽  
Shu-tao Gao ◽  
Xiong-ming Pu ◽  
Xiao-jing Kang ◽  
Xiu-juan Wu
Keyword(s):  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Original Data ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Effect Model

Abstract Background: To date, The pathological mechanisms underlying the occurrence and development of psoriasis are still unanswered questions. Genome-wide association surveys have revealed that TNFAIP3 and TNIP1 were key biomarkers for psoriasis. This study aimed to investigate the association between TNFAIP3 and TNIP1 gene polymorphisms with psoriasis susceptibility.Methods Comprehensive literature search was undertook across four online databases—PubMed, Embase, Cochrane Library, and China National Knowledge Infrastructure (CNKI) up to August 25, 2019. Allele model of inheritance was used to analyze the original data. Newcastle–Ottawa scale (NOS) was used to evaluate the risk bias of each study. Pooled odds ratios and 95% confidence intervals were calculated using the RevMan 5.3 software.Results In all, 13 case-control studies comprising 13,908 psoriasis patients and 20,051 controls were identified and included in this meta-analysis. The results demonstrated that rs610604 in TNFAIP3 polymorphism was significantly associated with psoriasis risk using random effect model (G vs. T, OR = 1.19, 95% CI: 1.09–1.31, P = 0.0002), and a significant association between rs17728338 in TNIP1 polymorphism and psoriasis vulnerability using fixed effect model (A vs. G, OR = 1.69, 95% CI:1.58–1.80, P < 0.00001).Conclusions This meta-analysis indicated that rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms were associated with psoriasis susceptibility.

Filarial worms: a systematic review and meta-analysis of diversity in animals from Iran with emphasis on human cases

Parasitology ◽  
2020 ◽  
Vol 147 (9) ◽  
pp. 909-921 ◽  
Author(s):  
Ezatollah Ghasemi ◽  
Sadegh Shamsinia ◽  
Ali Taghipour ◽  
Davood Anvari ◽  
Saeed Bahadory ◽  
...  
Keyword(s):  
Systematic Review ◽  
Case Reports ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Human Case ◽  
Forest Plot ◽  
Khuzestan Province ◽  
Animal Populations ◽  
The Right

AbstractCurrent systematic review and meta-analysis demonstrate the prevalence reports of filariasis in animals in Iran along with human cases. Studies were screened, relevant papers were selected and the random-effect model was used by forest plot with 95% confidence interval (CI). Of 17 records of human case-reports, particularly from Khuzestan province (5 cases), Dirofilaria repens was the most detected parasite (10 cases) with higher involvement of the right eye (7 cases) than other organs. Eleven animal species were reported to be parasitised by filarioids in Iran. The prevalence of Dirofilaria immitis in canids was 14.69% (95% CI: 10.33–19.67), with highest rates (20.92%; 95% CI: 13.84–29.03) in free-ranging dogs. Male (10.07%; 95% CI: 5.10–16.47) and more than 1-year old (20.77%; 95% CI: 8.66–36.42) dogs were more likely to be found infected. The frequency of other filarioids of zoonotic interest was: Acanthocheilonema reconditum in dogs 2.15% (95% CI: 0.71–4.33), Dipetalonema evansi in camels 10.16% (95% CI: 4.73–17.34), Onchocerca cervicalis in horses 3.63% (95% CI: 1.44–6.75%) and Onchocerca fasciata 16.57% (95% CI: 10.12–24.24%) in camels. Still, our knowledge on parasitic filariae in Iran is limited and more investigation is needed in both human and animal populations.

scholarly journals Relationship between air pollutants and risk of diabetes:a cohort study based meta-analysis

2019 ◽  
Author(s):  
Patamu Mohemaiti ◽  
Aidibai Simayi ◽  
Xiao Xiao Qin ◽  
Aizhatiguli Kadeer
Keyword(s):  
Air Pollutants ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
China National Knowledge Infrastructure ◽  
Knowledge Infrastructure ◽  
Effect Model ◽  
And Control

Abstract Background: To investigate the effects of air pollutants on the incidence of diabetes, and to provide reliable evidence for the prevention and control of diabetes.Method: Electronic databases of PubMed, Embase, Web of Science, Wanfang Digital Periodicals (WANFANG), WeiPu, China National Knowledge Infrastructure (CNKI), Springer, and Ovid were searched. RevMan5.3 software was used for meta analysis of the literature included in this study, I2 was used to measure the heterogeneity of the research contents of the included literature, and fixed effect model or random effect model was used for combined analysis of the overall incidence of diabetes and the incidence of diabetes under different air pollutants.Result: A total of 22 articles with high overall quality were included in this study, including 2703882 subjects and 535190 patients with diabetes.Pooled effect of the studies was determined using relative risk(RR). PM10 (RR=1.00; 95%CI:0.99-1.02, P=0.61), PM2.5 (RR=1.02 ; 95%CI:1.01-1.04, P=0.01), NOX (RR=1.00; 95%CI:1.00-1.01, P=0.006), NO2 (RR=1.00; 95%CI:1.00-1.01, P=0.01), O3 (RR=1.00; 95%CI:0.99-1.01, P=0.99). No correlation was found between PM10, NO2, O3 and the risk of type 2 diabetes. The risk of diabetes increased by 1% in people exposed to total air pollutants, increased by 2% in people exposed to PM2.5, and increased by 1% in people exposed to NOX.Conclusion: Results of this paper showed that air pollutants are weakly positively correlated with the risk of diabetes. As to the other influencing factors should be further studied.

scholarly journals Association of rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms with psoriasis susceptibility: A meta-analysis of case-control studies

2020 ◽  
Author(s):  
Hai-bo Gong ◽  
Shu-tao Gao ◽  
Xiong-Ming Pu ◽  
Xiao-jing Kang ◽  
Xiu-juan Wu
Keyword(s):  
Gene Polymorphisms ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Original Data ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
China National Knowledge Infrastructure ◽  
Effect Model

Abstract Background: To date, The pathological mechanisms underlying the occurrence and development of psoriasis are still unanswered questions. Genome-wide association surveys have revealed that TNFAIP3 and TNIP1 were key biomarkers for psoriasis. This study aimed to investigate the association between TNFAIP3 and TNIP1 gene polymorphisms with psoriasis susceptibility. Methods: Comprehensive literature search was undertook across four online databases—PubMed, Embase, Cochrane Library, and China National Knowledge Infrastructure (CNKI) up to August 25, 2019. Allele model of inheritance was used to analyze the original data. Newcastle–Ottawa scale (NOS) was used to evaluate the risk bias of each study. Pooled odds ratios and 95% confidence intervals were calculated using the RevMan 5.3 software. Results: In all, 13 case-control studies comprising 13,908 psoriasis patients and 20,051 controls were identified and included in this meta-analysis. The results demonstrated that rs610604 in TNFAIP3 polymorphism was significantly associated with psoriasis risk using random effect model (G vs. T, OR = 1.19, 95 % CI: 1.09–1.31, P = 0.0002), and a significant association between rs17728338 in TNIP1 polymorphism and psoriasis vulnerability using fixed effect model (A vs. G, OR = 1.69, 95% CI:1.58–1.80, P < 0.00001). Conclusions: This meta-analysis indicated that rs610604 in TNFAIP3 and rs17728338 in TNIP1 gene polymorphisms were associated with psoriasis susceptibility.

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