Introduction to Meta Regression Analyses

Then, subgroup and meta-regression analyses were conducted to disclose the influence of geographic area, fracture type, administration route, frequency and dosage of TXA, blood transfusion threshold, and follow-up duration on the overall effect.

Univariate meta-regression analyses found that sham response was associated with higher risk of blinding bias, and with treatment effect size in the active tDCS group.

Sensitivity and meta-regression analyses were performed.

Meta-regression analyses partially accounted for the source of heterogeneity, and yet, 53% of the symptoms remained unexplained.

Additional meta-regression analyses indicated that participant age and clinical status (i.

The meta-analysis and meta-regression analyses were fit using a random effects model.

To explore heterogeneity across the studies, univariable and multivariable meta-regression analyses were performed.

Meta-regression analyses, publication bias assessment and Trim and Fill function were also performed.

In meta-regression analyses, the treatment response was associated with patient age (estimated slope, -1.

Sub-group, sensitivity and meta-regression analyses were performed where data permitted.

On the other hand, meta-regression analyses performed on gender, age, duration of disease, percentage of patients with ANA+ or RF+, medium value of ESR or CRP were not statistically significant.

After duplicate study selection, data extraction, and risk-of-bias assessment, random effects meta-analyses of mean differences (MDs) and their 95% confidence intervals (CIs) were performed, followed by subgroup/meta-regression analyses.

The pooled sensitivity, specificity, and summary area under the receiver operating characteristic curve (AUC) were calculated and meta-regression analyses were performed.

The meta-regression analyses did not indicate the dose effects of PCs on SBP, DBP, PP and MAP.

We performed subgroup, sensitivity, and meta-regression analyses.

Subgroup and meta-regression analyses were conducted for demographic and clinical variables as appropriate.

Conducting meta-regression analyses, however, we found the relationship between ELM and resting vagal activity to significantly vary as a function of both age and presence of psychopathology.

Meta-regression analyses did not show a significant influence of RT nor HT on the DFI at 10 years.

A growing number of meta-analyses supported the application of digital psychotherapeutic intervention across different populations, but relatively few meta- and meta-regression analyses have concentrated on perinatal women.

Sensitivity analyses will be performed as well as a priori subgroup, meta-regression and multiple meta-regression analyses.

Pooled mean differences were calculated using a random-effects model, followed by sensitivity and meta-regression analyses.

In subgroup meta-regression analyses, males with definite fertility had continuous declines in SC (slope northern group=-2.

A meta-regression analyses determined that intralesional-GTR improved PFS (PHR 0.

Following the meta-analysis of random effects, the meta-regression analyses were used to explore factors potentially influencing treatment efficacy.

Meta-regression analyses showed a better hypoglycaemia detection in studies indicating a higher overall accuracy, whereas year of publication did not significantly influence diagnostic accuracy.

Network meta-analysis was performed to determine the effects of coffee and/or tea consumption on reducing BC risk in a dose-dependent manner and differences in coffee/tea type, menopause status, hormone receptor and the BMI in subgroup and meta-regression analyses.

Data were analyzed using random-effects modeling, and subgroup and meta-regression analyses were used to ascertain heterogeneity among the subgroups.

Meta-regression analyses also showed significant differences in lesion-level prevalence with respect to age (p = 0.

The relationship between each biomarker and WMH burden will be meta-analyzed if possible, with subgroup or meta-regression analyses to assess differences between diseases.

Data were synthesised with random-effects meta-analyses and meta-regression analyses, applying Grades of Recommendation, Assessment, Development and Evaluation criteria.

Subgroup analyses were crude univariable meta-regression analyses.

Temporal trends in clinical outcomes (cardiac death, myocardial infarction [MI], target lesion revascularisation [TLR], stent thrombosis [ST]) were assessed using random-effects meta-regression analyses, estimating the relationship between clinical outcomes and study start year.

Sources of heterogeneity were not found through subgroup and meta-regression analyses.

For the moderate response rate, meta-regression analyses revealed that publication year (β = −0.

Meta-regression analyses were performed to explore heterogeneity.

Following quality assessment of study eligibility, stratified meta-analysis and meta-regression analyses were undertaken to recognize and control the heterogeneity in meta-analysis.

To explore sources of heterogeneity, meta-regression analyses were performed.

The higher sensitivity and specificity of DBT than DM alone were consistently noted in most subgroup and meta-regression analyses.

We incorporated the effect size using the random-effects model in the “meta” package in R software and conducted univariate and multivariate meta-regression analyses using a mixed-effects model.

A meta-analysis will be conducted to calculate the pooled effect size of each outcome, and meta-regression analyses will investigate whether intervention features and the presence and absence of individual BCTs in interventions are associated with intervention effectiveness.

The effects of potential moderators were investigated by both subgroup and meta-regression analyses.

Our subgroup and meta-regression analyses indicated that prior exposure to ICIs may reduce the incidence of COVID-19 in metastatic cancer patients.

Given significant heterogeneity across studies, we conducted meta-regression analyses with sample characteristics, age, number of treatment sessions, treatment duration, intervention type, control group type, and study design.

In subgroup and meta-regression analyses, areas, NOS, mean fluorescence intensity (MFI) cut off, primary diseases, HSCT types, graft sources, and pre-transplant desensitization did not affect the impact of anti-HLA DSAs on primary graft failure (PGF).

Sources of heterogeneity were explored through subgroup and meta-regression analyses.

Meta-regression analyses found increasing GM atrophy in the right insula associated with the longer mean abstinence duration of the samples in the studies in our analysis.

Subgroup and meta-regression analyses were performed to assess for heterogeneity.

Meta-regression analyses were conducted to estimate regression coefficients.

Subgroup and meta-regression analyses explored potential sources of heterogeneity in the data.

Subgroup and random effects meta-regression analyses will be used to further investigate the potential sources of heterogeneity.

Meta-regression analyses were also performed.

Subgroup and meta-regression analyses were conducted across covariates, including sampling method and outcome measure.

In meta-regression analyses of study characteristics, study location (continent) explained some (∼20%) heterogeneity for T1 exposure studies, but no characteristic explained a substantial amount of heterogeneity for T2 exposure studies.

The meta-regression analyses showed that the glaucoma-progression assessment methods had had a modulating influence (P=.

Furthermore, the source of heterogeneity was checked by subgroup and meta-regression analyses.

Meta-regression analyses were performed to assess the influence of patients' age, sex, illness duration, antipsychotic dose, positive and negative symptoms on the study SMDs.

Meta-regression analyses were performed to explore study heterogeneity.

Additionally, meta-analysis of variance and meta-regression analyses were performed.

Meta-regression analyses indicated that greater weight reduction in SGLT2i users was significantly associated with the increased risks of amputation (β = − 0.

RESULTS Meta-regression analyses indicated a significant and positive effect of drinks per month on alcohol-induced stimulation (β=.

We undertook random-effects meta-analyses and meta-regression analyses to calculate the pooled effect and the influence of effect modifiers.

Sources of heterogeneity will be explored via meta-regression analyses, if possible.

Meta-regression analyses showed that increasing age and including a higher proportion of people with hypertension was associated with lower retention rates.

Subgroup and meta-regression analyses were also performed to determine factors influencing heterogeneity affecting the diagnostic performance among the clinical, MRI, and analytic characteristics.

Meta-regression analyses show a decreasing benefit on HF events with increasing receptor selectivity of SGLT2i.

Random-effects meta-analyses and meta-regression analyses were performed.

Leaving-one-out, subgroups and meta-regression analyses showed that study quality and type of BLL testing devices were sources of heterogeneity.

Subgroup and meta-regression analyses were conducted to explore the associated risk factors and to identify the sources of heterogeneity.

Meta-regression analyses were performed to assess the relationship between MSC dose and pooled effect sizes in each cell dose.

We conducted meta-regression analyses on a wide set of dependent measures that control for general slowing, tested for publication bias, and examined four potential methodological moderators.

The interrelationships between PFS and OS hazard ratios (HRs) and median survival time differences were investigated by conducting fixed-effects and mixed-effects linear meta-regression analyses.

RESULTS Two-level random effects meta-regression analyses indicated that higher anti-Black cultural racism was associated with lower ESs for studies with majority-Black youth (β = -0.

The potential sources of between-study heterogeneity were identified using sensitivity analysis, sub-group and meta-regression analyses.

Meta-regression analyses showed no significant time trends in OCI rates among different groups.

METHOD We undertook systematic searches of 4 databases to identify studies for inclusion in random effects meta-analyses and meta-regression analyses.

Random-effects meta-regression analyses showed that year and quality of publication were covariates on the relationships between pre-pregnant body mass index and sleep apnea risk.

Meta-regression analyses were performed to further explore study heterogeneity.

Meta-regression analyses revealed that the most common underlying liver disease (hepatitis B or hepatitis C) was a significant factor contributing to the heterogeneity of sensitivities among studies for both versions.

Subgroup analyses and meta-regression analyses will be performed to analyze and explain heterogeneity.

, Armonk, NY, USA) to perform and interpret regression and meta-regression analyses of individual- and group-level (aggregated) student data, combined with data on micro- and meso-level factors.

Random-effects model meta-analyses and meta-regression analyses were used to generate summary estimates and explored sources of heterogeneity.

Meta-regression analyses were performed to check the factors related to heterogeneity of the studies and to check the associations between chronological age and LLP.

We calculated random-effects pooled odds ratios (ORs) for the association of suicide with demographical, clinical, criminological, and institutional risk factors, and investigated heterogeneity using subgroup and meta-regression analyses.

Meta-regression analyses showed that CRP baseline level (CRP < 5 mg/L) was the main source of heterogeneity (P =.

With the present systematic review, meta-analysis and meta-regression we expand upon previous meta-analyses in four ways: (1) We included 109 studies (96 in adults and 13 in children); (2) we reported subgroup and meta-regression analyses in adults with OSA compared to controls on the serum and plasma levels of hs-CRP; (3) we reported subgroup and meta-regression analyses in adults with OSA compared to controls on the serum and plasma levels of CRP; (4) we reported serum and plasma levels of both hs-CRP and CRP in children with OSA, always compared to controls.

Meta-regression analyses indicated that publication year (β = −0.

Sub-group analyses and meta-regression analyses were performed.

When heterogeneity is observed, subgroup analyses and meta-regression analyses will be used to explore sources of heterogeneity.

The results indicated substantial heterogeneity among studies, but meta-regression analyses found no significant moderation effects for mean age, gender, continent, COVID-19 death rate, days of lockdown, publication status or study design.

Subgroup and meta-regression analyses revealed gender, marital status, survey year, being published in English language, use of the Diagnostic and Statistical Manual of Mental Disorders (DSM) diagnostic systems and age as significant moderators of MDD prevalence.

Meta-regression analyses and effectiveness ratios to investigate the impact of pre-specified mediators of effect estimates.

Publication bias assessments, and subgroup, sensitivity, and meta-regression analyses were also performed.

Substantial heterogeneity between studies was observed, with meta-regression analyses demonstrating a significant effect of mean age on the association between diurnal preference and depression.

Meta-regression analyses found that the sensitivities did not differ between the different tracers used, between studies with a majority of women with FIGO stage 1A versus 1B or above; between studies assessing the pelvic lymph node basin alone versus the pelvic and para-aortic lymph node basin; or between studies that used subserosal alone versus subserosal and cervical injection.

Moderator variables were explored using meta-regression analyses.

Meta-regression analyses of studies on MS epidemiology since 1965 revealed an almost universal increase in prevalence and incidence of MS over time; and suggest a general increase in incidence of MS in females.