scholarly journals Decreased urinary uromodulin is potentially associated with acute kidney injury: a systematic review and meta-analysis

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Ruilian You ◽  
Hua Zheng ◽  
Lubin Xu ◽  
Tiantian Ma ◽  
Gang Chen ◽  
...  
Keyword(s):  
Random Effects ◽  
Meta Analysis ◽  
Kidney Injury ◽  
Cochrane Library ◽  
Random Effects Models ◽  
Potential Association ◽  
Language Restriction ◽  
The Difference ◽  
Leave One Out ◽  
The Impact

Abstract Background Urinary uromodulin (uUMOD) is one of the novel biomarkers for predicting AKI. However, currently available publications showed inconsistent results. We designed this meta-analysis to evaluate the potential association between uUMOD and AKI. Methods We searched research articles with no language restriction in Medline, Web of Science, Cochrane Library, Embase, and 3 Chinese datasets from inception to February 2021. We used random-effects models to estimate the standardized mean difference (SMD) between patients with AKI or not, while the leave-one-out method and random-effects meta-regression to evaluate the sensitivity and the impact of potential confounders such as age and surgery. Results The meta-analysis comprising 3148 subjects from 11 studies showed that the uUMOD of the AKI group is significantly lower than the non-AKI group (SMD: − 0.71; 95% confidence interval (CI), − 1.00, − 0.42, P < 0. 001, I2 = 78.8%). Subgroup analysis revealed the difference is also significant in a different age, surgery condition, and assay time but not acute rejection (AR) group, especially in children (SMD: − 1.21, 95% CI: − 1.80, − 0.61; P < 0.001) and patients undergoing surgery (SMD: − 1.03, 95% CI: − 1.75, − 0.30; P < 0.001). Lower uromodulin is associated with higher odds for AKI incidence (odds ratio = 2.47, 95% CI: 1.12, 5.47; P < 0.001, I2 = 89%). Meta-reggression found that age was associated with the SMD of uUMOD. The study outcome was reliably confirmed by the sensitivity analysis. Conclusion The present study suggested a negative association between uUMOD and AKI especially in children and surgical patients.

Appendectomy Does Not Increase the Risk of Future Emergence of Parkinson’s Disease: A Meta-analysis

2021 ◽  
pp. 000313482198903
Author(s):  
Mitsuru Ishizuka ◽  
Norisuke Shibuya ◽  
Kazutoshi Takagi ◽  
Hiroyuki Hachiya ◽  
Kazuma Tago ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Random Effects Models ◽  
Significant Difference ◽  
The Cochrane Library ◽  
The Impact ◽  
The Relationship ◽  
Observation Period

Objective To explore the impact of appendectomy history on emergence of Parkinson’s disease (PD). Background Although there are several studies to investigate the relationship between appendectomy history and emergence of PD, the results are still controversial. Methods We performed a comprehensive electronic search of the literature (the Cochrane Library, PubMed, and the Web of Science) up to April 2020 to identify studies that had employed databases allowing comparison of emergence of PD between patients with and those without appendectomy history. To integrate the impact of appendectomy history on emergence of PD, a meta-analysis was performed using random-effects models to calculate the risk ratio (RR) and 95% confidence interval (CI) for the selected studies, and heterogeneity was analyzed using I2 statistics. Results Four studies involving a total of 6 080 710 patients were included in this meta-analysis. Among 1 470 613 patients with appendectomy history, 1845 (.13%) had emergences of PD during the observation period, whereas among 4 610 097 patients without appendectomy history, 6743 (.15%) had emergences of PD during the observation period. These results revealed that patients with appendectomy history and without appendectomy had almost the same emergence of PD (RR, 1.02; 95% CI, .87-1.20; P = .83; I2 = 87%). Conclusion This meta-analysis has demonstrated that there was no significant difference in emergence of PD between patients with and those without appendectomy history.

scholarly journals Association of dyslipidemia with the severity and mortality of coronavirus disease 2019 (COVID-19): a meta-analysis

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Yanli Liu ◽  
Yilong Pan ◽  
Yuyao Yin ◽  
Wenhao Chen ◽  
Xiaodong Li
Keyword(s):  
Fixed Effects ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Case Control Studies ◽  
Risk Of Death ◽  
Potential Association ◽  
Increased Risk ◽  
Language Restriction ◽  
Newcastle Ottawa Scale

Abstract Background The numbers of confirmed cases of coronavirus disease 2019 (COVID-19) and COVID-19 related deaths are still increasing, so it is very important to determine the risk factors of COVID-19. Dyslipidemia is a common complication in patients with COVID-19, but the association of dyslipidemia with the severity and mortality of COVID-19 is still unclear. The aim of this study is to analyze the potential association of dyslipidemia with the severity and mortality of COVID-19. Methods We searched the PubMed, Embase, MEDLINE, and Cochrane Library databases for all relevant studies up to August 24, 2020. All the articles published were retrieved without language restriction. All analysis was performed using Stata 13.1 software and Mantel–Haenszel formula with fixed effects models was used to compare the differences between studies. The Newcastle Ottawa scale was used to assess the quality of the included studies. Results Twenty-eight studies involving 12,995 COVID-19 patients were included in the meta-analysis, which was consisted of 26 cohort studies and 2 case–control studies. Dyslipidemia was associated with the severity of COVID-19 (odds ratio [OR] = 1.27, 95% confidence interval [CI] 1.11–1.44, P = 0.038, I2 = 39.8%). Further, patients with dyslipidemia had a 2.13-fold increased risk of death compared to patients without dyslipidemia (95% CI 1.84–2.47, P = 0.001, I2 = 66.4%). Conclusions The results proved that dyslipidemia is associated with increased severity and mortality of COVID-19. Therefore, we should monitor blood lipids and administer active treatments in COVID-19 patients with dyslipidemia to reduce the severity and mortality.

scholarly journals Issues with the Random Effects Approach in Meta-Analysis of Sparse Incidence Data

2020 ◽  
Vol 23 (1) ◽  
pp. 1-34
Author(s):  
Elasma Milanzi ◽  
◽  
Matthew Spittal ◽  
Lyle Gurrin ◽  
◽  
...  
Keyword(s):  
Random Effects ◽  
Meta Analysis ◽  
Random Structure ◽  
Random Effects Models ◽  
Incidence Data ◽  
Random Slope ◽  
Effect Measure ◽  
Confidence Interval Coverage ◽  
Random Slopes ◽  
The Impact

The current interest in meta-analysis of count data in which some studies have zero events (sparse data) has led to re-assessment of commonly used meta-analysis methods to establish their validity in such scenarios. The general consensus is that methods which exclude studies with zero events should be avoided. In the family of parametric methods, random effects models come out highly recommended. While acknowledging the strength of this approach, one of its aspects with potentially undesirable impact on the results, is often overlooked. The random effects approach accounts for the variation in the effect measure across studies by using models with random slopes. It has been shown that parameters associated with a random structure risk being estimated with biased unless the distribution of the random effects is correctly specified. In meta-analysis the parameter of interest, average effect measure, is associated with a random structure (random slope). Information on how the effect measure point and precision estimates are affected by misspecification of random effects distribution is still lacking. To fill in the information gap, we used a simulation study to investigate the impact of misspecification of distribution of random effects in this context and provide guidelines in using the random effects approach. Our results indicated that relative bias in the estimated effect measure could be as high as 30% and 95% confidence interval coverage as low as 0%. These results send a clear message that possible effects of misspecification of the distribution of random effects should not be ignored. In light of these findings, we have proposed a sensitivity analysis that also establishes whether a random slope model is necessary.

Effect of rosiglitazone on circulating malondialdehyde (MDA) level in diabetes based on a systematic review and meta-analysis of eight clinical trials

2020 ◽  
pp. jim-2020-001588
Author(s):  
Ziba Majidi ◽  
Shaghayegh Hosseinkhani ◽  
Nasrin Amiri-Dashatan ◽  
Solaleh Emamgholipour ◽  
Sara Tutunchi ◽  
...  
Keyword(s):  
Random Effects ◽  
Meta Analysis ◽  
Scientific Information ◽  
Rank Correlation ◽  
Cochrane Library ◽  
Inclusion Criteria ◽  
Serum Samples ◽  
Subgroup Analyses ◽  
Comprehensive Search ◽  
The Impact

Patients with type 2 diabetes have high levels of malondialdehyde (MDA), and clinical data suggest a reducing effect of rosiglitazone (RSG) on the level of MDA in these patients. However, the results of available studies on the level of MDA in RSG-treated patients are not univocal. This meta-analysis aimed to assess the impact of RSG on the level of MDA. We performed a comprehensive search of PubMed, the Institute for Scientific Information Web of Science, Embase, Scopus, and Cochrane Library for related controlled trials until July 2020. Eligible studies were selected based on the inclusion criteria. Extracted data from each study were combined using a random-effects model. Sensitivity and subgroup analyses were conducted to explore potential heterogeneity. Eight trials with 456 subjects met the inclusion criteria. The results significantly showed the reducing effect of RSG on circulating MDA level (−0.47 μmol/mL; 95% CI −0.93 to −0.01; p=0.04; I2=82.1%; p heterogeneity=0.00) in individuals with T2D. No publication bias was observed with Begg’s rank correlation (p=0.71) and Egger’s linear regression (p=0.52) tests. Subgroup analyses showed that an intervention dose of 8 mg/day in serum samples was found to have a reducing effect on the level of MDA (−0.56 μmol/mL; 95% CI −0.98 to −0.14; p=0.008; I2=11.4%; p heterogeneity=0.32). Random-effects meta-regression did not show any significant association between the level of MDA and potential confounders including RSG dose, treatment duration, and sex. In conclusion, we found a significant reduction in MDA concentration in subjects with T2D who received a dose of 8 mg of RSG daily.

scholarly journals High burden of acute kidney injury in COVID-19 pandemic: systematic review and meta-analysis

2020 ◽  
pp. jclinpath-2020-207023
Author(s):  
Camila Barbosa Oliveira ◽  
Camilla Albertina Dantas Lima ◽  
Gisele Vajgel ◽  
Antonio Victor Campos Coelho ◽  
Paula Sandrin-Garcia
Keyword(s):  
Systematic Review ◽  
Acute Kidney Injury ◽  
Critically Ill ◽  
Random Effects ◽  
Meta Analysis ◽  
Kidney Injury ◽  
Random Effects Model ◽  
Risk Of Death ◽  
Meta Analyses ◽  
The Impact

AimsHospitalised patients with COVID-19 have a variable incidence of acute kidney injury (AKI) according to studies from different nationalities. The present systematic review and meta-analysis describes the incidence of AKI, need for renal replacement therapy (RRT) and mortality among patients with COVID-19-associated AKI.MethodsWe systematically searched electronic database PubMed, SCOPUS and Web of Science to identify English articles published until 25 May 2020. In case of significant heterogeneity, the meta-analyses were conducted assuming a random-effects model.ResultsFrom 746 screened publications, we selected 21 observational studies with 15 536 patients with COVID-19 for random-effects model meta-analyses. The overall incidence of AKI was 12.3% (95% CI 7.3% to 20.0%) and 77% of patients with AKI were critically ill (95% CI 58.9% to 89.0%). The mortality among patients with AKI was 67% (95% CI 39.8% to 86.2%) and the risk of death was 13 times higher compared with patients without AKI (OR=13.3; 95% CI 6.1 to 29.2). Patients with COVID-19-associated AKI needed for RRT in 23.4% of cases (95% CI 12.6% to 39.4%) and those cases had high mortality (89%–100%).ConclusionThe present study evidenced an incidence of COVID-19-associated AKI higher than previous meta-analysis. The majority of patients affected by AKI were critically ill and mortality rate among AKI cases was high. Thus, it is extremely important for health systems to be aware about the impact of AKI on patients’ outcomes in order to establish proper screening, prevention of additional damage to the kidneys and adequate renal support when needed.

Random-effects meta-analysis: the number of studies matters

2015 ◽  
Vol 26 (3) ◽  
pp. 1500-1518 ◽  
Author(s):  
Annamaria Guolo ◽  
Cristiano Varin
Keyword(s):  
Random Effects ◽  
Type I Error ◽  
Meta Analysis ◽  
Practical Interest ◽  
Error Rates ◽  
Type I ◽  
Model Framework ◽  
Random Effects Models ◽  
Meta Analyses ◽  
The Impact

This paper investigates the impact of the number of studies on meta-analysis and meta-regression within the random-effects model framework. It is frequently neglected that inference in random-effects models requires a substantial number of studies included in meta-analysis to guarantee reliable conclusions. Several authors warn about the risk of inaccurate results of the traditional DerSimonian and Laird approach especially in the common case of meta-analysis involving a limited number of studies. This paper presents a selection of likelihood and non-likelihood methods for inference in meta-analysis proposed to overcome the limitations of the DerSimonian and Laird procedure, with a focus on the effect of the number of studies. The applicability and the performance of the methods are investigated in terms of Type I error rates and empirical power to detect effects, according to scenarios of practical interest. Simulation studies and applications to real meta-analyses highlight that it is not possible to identify an approach uniformly superior to alternatives. The overall recommendation is to avoid the DerSimonian and Laird method when the number of meta-analysis studies is modest and prefer a more comprehensive procedure that compares alternative inferential approaches. R code for meta-analysis according to all of the inferential methods examined in the paper is provided.

scholarly journals Early versus late initiation of renal replacement therapy impacts mortality in septic patients with acute kidney injury: a meta-analysis

2020 ◽  
Author(s):  
Chenglong Ge ◽  
Yuan Jiang ◽  
Qianyi Peng ◽  
Yuhang Ai
Keyword(s):  
Acute Kidney Injury ◽  
Renal Replacement Therapy ◽  
Replacement Therapy ◽  
Meta Analysis ◽  
Kidney Injury ◽  
Cochrane Library ◽  
Optimal Time ◽  
Late Initiation ◽  
Beneficial Impact ◽  
The Impact

Abstract Background: Acute kidney injury (AKI) is a frequent complication in septic patients and increases in-hospital mortality. Our aim was to evaluate the impact of early versus late initiation of renal replacement therapy (RRT) on clinical outcomes in septic patients with acute kidney injury (AKI). Methods: Systematic review and meta-analysis were used in this study. We searched PubMed, EMBASE, MEDLINE and Cochrane Library. Results: Nine studies (two randomized controlled trials (RCTs) and seven retrospective cohorts) including 1694 patients were identified for detailed evaluation. This meta-analysis suggested that early RRT initiation within 48 hours (OR 0.30; 95% CI 0.20 to 0.45; I 2 0%) in septic patients with AKI reduced 28-day mortality (odds ratio (OR) 0.56; 95% confidence interval (CI) 0.37 to 0.86; I 2 73%), but intensive care unit (ICU) length of stay (LOS) (mean difference (MD) -1.49; 95% CI -3.65 to -0.67; I 2 53%), hospital LOS (MD -3.18; 95% CI -7.35 to 0.99; I 2 41%), the duration of RRT (MD -2.05; 95%CI -6.86 to 2.76; I 2 83%) and the duration of ventilation (MD 1.99; 95%CI -2.76 to 6.75; I 2 85%) were not influenced by the timing of RRT initiation. Conclusions: Early initiation of RRT within 48 hours in septic patients with AKI may have a beneficial impact on survival. However, this conclusion is based on heterogeneous trials of different quality and only two RCTs. Conclusive therapeutic recommendations regarding the optimal time to initiate RRT remain uncertain.

scholarly journals Carotenoid Intake and Circulating Carotenoids Are Inversely Associated with the Risk of Bladder Cancer: A Dose-Response Meta-analysis

2019 ◽  
Vol 11 (3) ◽  
pp. 630-643 ◽  
Author(s):  
Shenghui Wu ◽  
Yanning Liu ◽  
Joel E Michalek ◽  
Ruben A Mesa ◽  
Dorothy Long Parma ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Random Effects ◽  
Dose Response ◽  
Meta Analysis ◽  
Epidemiologic Studies ◽  
Cochrane Library ◽  
Response Analysis ◽  
Random Effects Models ◽  
The Cochrane Library ◽  
Β Carotene

ABSTRACT Some evidence indicates that carotenoids may reduce the risk of bladder cancer (BC), but the association is unclear. We conducted a systematic review and meta-analysis of case-control and cohort studies investigating the relation between carotenoid intake or circulating carotenoid concentrations and BC risk in men and women. All relevant epidemiologic studies were identified by a search of PubMed and Scopus databases, and the Cochrane Library from inception to April 2019 with no restrictions. A random-effects model was used to calculate pooled RRs and their 95% CIs across studies for high compared with low categories of intake or circulating concentrations. We also performed a dose-response meta-analysis using the Greenland and Longnecker method and random-effects models. A total of 22 studies involving 516,740 adults were included in the meta-analysis. The pooled RRs of BC for the highest compared with the lowest category of carotenoid intake and circulating carotenoid concentrations were 0.88 (95% CI: 0.76, 1.03) and 0.36 (95% CI: 0.12, 1.07), respectively. The pooled RR of BC for the highest compared with lowest circulating lutein and zeaxanthin concentrations was 0.53 (95% CI: 0.33, 0.84). Dose-response analysis showed that BC risk decreased by 42% for every 1 mg increase in daily dietary β-cryptoxanthin intake (RR: 0.58; 95% CI: 0.36, 0.94); by 76% for every 1 μmol/L increase in circulating concentration of α-carotene (RR: 0.24; 95% CI: 0.08, 0.67); by 27% for every 1 μmol/L increase in circulating concentration of β-carotene (RR: 0.73; 95% CI: 0.57, 0.94); and by 56% for every 1 μmol/L increase in circulating concentrations of lutein and zeaxanthin (RR: 0.44; 95% CI: 0.28, 0.67). Dietary β-cryptoxanthin intake and circulating concentrations of α-carotene, β-carotene, and lutein and zeaxanthin were inversely associated with BC risk. The protocol was registered at PROSPERO as CRD42019133240.

scholarly journals Associations between Particulate Matter and Otitis Media in Children: A Meta-Analysis

2020 ◽  
Vol 17 (12) ◽  
pp. 4604
Author(s):  
Sang-Youp Lee ◽  
Myoung-jin Jang ◽  
Seung Ha Oh ◽  
Jun Ho Lee ◽  
Myung-Whan Suh ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Otitis Media ◽  
Meta Analysis ◽  
Primary Component ◽  
Pm10 Concentration ◽  
Cochrane Library ◽  
Odds Ratios ◽  
Random Effects Models ◽  
Potential Association ◽  
Pm2.5 And Pm10

Particulate matter (PM), a primary component of air pollution, is a suspected risk factor for the development of otitis media (OM). However, the results of studies on the potential correlation between an increase in the concentration of PM and risk of developing OM are inconsistent. To better characterize this potential association, a meta-analysis of studies indexed in three global databases (PubMed, EMBASE, and The Cochrane Library) was conducted. These databases were systematically screened for observational studies of PM concentration and the development of OM from the time of their inception to 31 March 2020. Following these searches, 12 articles were analyzed using pooled odds ratios generated from random-effects models to test for an association between an increased concentration of PM and the risk of developing OM. The data were analyzed separately according to the size of particulate matter as PM2.5 and PM10. The pooled odds ratios for each 10 μg/m3 increase in PM2.5 and PM10 concentration were 1.032 (95% confidence interval (CI), 1.005–1.060) and 1.010 (95% CI, 1.008–1.012), respectively. Specifically, the pooled odds ratios were significant within the short-term studies (PM measured within 1 week of the development of OM), as 1.024 (95% CI, 1.008–1.040) for PM2.5 concentration and 1.010 (95% CI, 1.008–1.012) for PM10 concentration. They were significant for children under 2 years of age with pooled odds ratios of 1.426 (95% CI, 1.278–1.519) for an increase in the concentration of PM2.5. The incidence of OM was not correlated with the concentration of PM, but was correlated with an increase in the concentration of PM. In conclusion, an increase in the concentration of PM2.5 is more closely associated with the development of OM compared with an increase in the concentration of PM10; this influence is more substantial in shorter-term studies and for younger children.

scholarly journals A meta-analysis of global stillbirth rates during the COVID-19 pandemic.

2021 ◽  
Author(s):  
Manoj Mohan ◽  
Kwabena Appiah-Sakyi ◽  
Ashok Oliparambil ◽  
Abdul Pullatayil ◽  
Stephen Lindow ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Stillbirth Rate ◽  
Middle Income ◽  
Middle Income Countries ◽  
Significant Difference ◽  
Language Restriction ◽  
The Impact ◽  
Low And Middle Income

Background The global effect of the COVID-19 pandemic has had an impact on pregnancy and outcomes. There has been recently some conflicting evidence on the stillbirths during the COVID-19 pandemic. This meta-analysis attempts to resolve this through a systematic approach. Objectives To analyse and determine the impact of COVID-19 on the stillbirth rate. Search strategy We searched PubMed, Embase, Cochrane library, ClinicalTrials.gov and Web of Science from inception to 05 March 2021 with no language restriction for this meta-analysis. Selection criteria Publications (a) with stillbirth data on pregnant women with COVID-19 (b) comparing stillbirth rates in pregnant women with and without COVID-19 and (c), comparing stillbirth rates before and during the pandemic. Data collection and Analysis The included studies were all observational studies, and we used the Newcastle Ottawa score for risk of bias. We performed the meta-analysis using Comprehensive meta-analysis software, version 3. Main results A total of 29 studies were included in the meta-analysis; from 17 of these, the SB rate was 7 per 1000 in pregnant women with COVID-19. This rate was much higher (34/1000) in low- and middle-income countries. The odds ratio of stillbirth in pregnant women with COVID-19 compared to those without was 1.89. However, there was no significant difference in population SB rates before and during the pandemic. Conclusions There is some evidence that the stillbirth rate has increased during the COVID-19 pandemic, but this is mainly in low- and middle-income countries. Inadequate access to healthcare during the pandemic could be a contributing factor.

Sign in / Sign up

Export Citation Format

Share Document