Network Meta-Analysis Techniques for Synthesizing Prevention Science Evidence

Mineralocorticoid receptor antagonists in heart failure with reduced ejection fraction: a systematic review and network meta-analysis of 32 randomized trials

INTRODUCTION

Several randomized controlled trials (RCTs) have examined mineralocorticoid receptor antagonists (MRAs) in heart failure (HF) with reduced ejection fraction (HFrEF). This systematic review and network meta-analysis (NMA) evaluated the comparative efficacy and safety of MRAs in HFrEF.

MATERIALS AND METHODS

MEDLINE(Pubmed), Scopus, Cochrane and ClinicalTrials.gov were searched until April 8, 2024 for RCTs examining the efficacy and/or safety of MRAs in HFrEF. Double-independent study selection, extraction and quality assessment were performed. Random-effects frequentist NMA models were used. Evidence certainty was assessed via Grading of Recommendations Assessment, Development and Evaluation (GRADE).

RESULTS

Totally, 32 RCTs (15685 patients) were analyzed. Eplerenone ranked above spironolactone in all-cause mortality (hazard ratio {HR}=0.78, 95% confidence interval {CI} [0.66,0.91], GRADE:"Moderate"), cardiovascular death (HR=0.74, 95%CI [0.53, 1.04], GRADE:"Low") and in all safety outcomes. Spironolactone was superior to eplerenone in the composite of cardiovascular death or hospitalization (HR=0.67, 95%CI [0.50,0.89], GRADE:"Moderate"), HF hospitalization (HR=0.61, 95%CI [0.43,0.86], GRADE:"Moderate"), all-cause hospitalization (HR=0.51, 95%CI [0.26,0.98], GRADE:"Moderate") and cardiovascular hospitalization (HR=0.56, 95%CI [0.37,0.84], GRADE:"Moderate"). Canrenone ranked first in all-cause mortality, the composite outcome and HF hospitalization. Finerenone ranked first in hyperkalemia (risk ratio [RR]=1.56, 95%CI [0.89,2.74], GRADE:"Moderate"), renal injury (RR=0.56, 95%CI [0.24,1.29]), any adverse event (RR=0.84, 95%CI [0.75,0.94], GRADE:"Moderate"), treatment discontinuation (RR=0.89, 95%CI [0.64,1.23]) and hypotension (RR=1.06, 95%CI [0.12,9.41]).

CONCLUSIONS

MRAs are effective in HFrEF with certain safety disparities. Spironolactone and eplerenone exhibited similar efficacy, however, eplerenone demonstrated superior safety. Finerenone was the safest MRA, while canrenone exhibited considerable efficacy, nonetheless, evidence for these MRAs were scarce.

Laser therapy decreases oral leukoplakia recurrence and boosts patient comfort: a network meta-analysis and systematic review

BACKGROUND

Oral leukoplakia (OLK) is a prevalent precancerous lesion with limited non-pharmacological treatment options. Surgery and various lasers are the mainstay of treatment; however, their relative efficacy and optimal choice remain unclear. This first network meta-analysis compared the effects of different lasers and surgical excision on post-treatment recurrence and comfort in OLK patients.

METHODS

We searched four databases for relevant randomized controlled trials (RCTs) up to April 2023. The primary outcome was post-treatment recurrence, and secondary outcomes included intraoperative hemorrhage and postoperative pain scores. The Cochrane Risk of Bias tool was used to assess the study quality. Meta-analysis and network meta-analysis were employed to determine efficacy and identify the optimal intervention.

RESULTS

A total of 11 RCTs including 917 patients and 1138 lesions were included. Er,Cr:YSGG laser treatment showed significantly lower recurrence rates compared to CO2 laser (OR: 0.04; 95% CI: 0.01-0.18), CO2 laser with margin extension (OR: 0.06; 95% CI: 0.01-0.60), Er:YAG laser (OR: 0.10; 95% CI: 0.03-0.37), electrocautery (OR: 0.03; 95% CI: 0.00-0.18), and standard care (OR: 0.08; 95% CI: 0.02-0.33). Er,Cr:YSGG laser also ranked the best for reducing recurrence, followed by standard care and CO2 laser combined with photodynamic therapy (PDT). Er:YAG and Er:Cr:YSGG lasers minimized bleeding and pain, respectively. None of the interventions caused severe adverse effects.

CONCLUSION

For non-homogeneous OLK, Er:YAG, Er:Cr:YSGG, and CO2 laser combined with PDT offer promising alternatives to surgical excision, potentially reducing recurrence and improving patient comfort. Further high-quality RCTs are necessary to confirm these findings and determine the optimal laser-PDT combination for OLK treatment.

Exploring the Effectiveness of Self-Management Interventions in Type 2 Diabetes: A Systematic Review and Network Meta-Analysis

BACKGROUND

Chronic diseases are a leading cause of global morbidity and mortality. In response to this challenge, self-management interventions (SMIs) have emerged as an essential tool in improving patient outcomes. However, the diverse and complex nature of SMIs pose significant challenges in measuring their effectiveness. This work aims to investigate the comparative effectiveness of SMIs on Type 2 diabetes mellitus (T2DM) outcomes.

METHODS

A rigorous analytical framework was employed to assess the relative effectiveness of different SMIs, encompassing both pairwise and network meta-analysis (NMA), as well as component network meta-analysis (CNMA). Various outcomes were considered, including glycated hemoglobin (HbA1c) control, body mass index (BMI) reduction and low-density lipoprotein (LDL) cholesterol. Visualization tools were also utilized to enhance the interpretation of results.

RESULTS

SMIs were found promising in improving clinical outcomes and patient-reported measures. However, considerable heterogeneity and inconsistency across studies challenged the validity of NMA results. CNMA along with various visualization tools offered insights into the contributions of individual SMI components, highlighting the complexity of these interventions.

DISCUSSION/CONCLUSIONS

SMIs represent a valuable approach to managing chronic conditions, but their effectiveness is context-dependent. Further research is needed to elucidate the contextual factors influencing SMI outcomes. This work contributes to a comprehensive understanding of SMIs' role in T2DM management, aiming to aid decision-makers, clinicians, and patients in selecting tailored interventions.

Efficacy and safety of teneligliptin in patients with type 2 diabetes mellitus: a Bayesian network meta-analysis

Background

As a popular antidiabetic drug, teneligliptin has been used for over 10 years, but its efficacy and safety have rarely been systematically evaluated. Therefore, a Bayesian network meta-analysis was conducted to evaluate the efficacy and safety of teneligliptin in patients with type 2 diabetes mellitus (T2DM).

Methods

We systematically searched PubMed, Web of Science, Embase, Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov. Randomized controlled trials (RCTs) comparing teneligliptin with placebo or active comparators in T2DM patients for at least 12 weeks were included in the study. Data analysis was performed using R 4.2.3 and Stata 17.0 software. Each outcome was presented as a mean difference (MD) or an odds ratio (OR) along with 95% confidence interval (CI) and the surface under the cumulative ranking curve value (SUCRA).

Results

A total of 18 RCTs with 3,290 participants with T2DM were included in this study. Generally, compared to placebo, sitagliptin, vildagliptin, metformin, and bromocriptine, 20 mg of teneligliptin showed better efficacy in reducing HbA1c (MD [95% CI], -0.78 [-0.86 to -0.70], -0.08 [-0.36 to 0.19], -0.04 [-0.72 to 0.60], -0.12 [-0.65 to 0.42], and -0.50 [-0.74 to -0.26], respectively) and fasting plasma glucose (FPG) (MD [95% CI], -18.02 [-20.64 to -15.13], 1.17 [-9.39 to 11.70], -8.06 [-30.95 to 14.35], -2.75 [-18.89 to 13.01], and -34.23 [-45.93 to -22.96], respectively), and 40 mg of teneligliptin also showed better efficacy in reducing HbA1c (MD [95% CI], -0.84 [-1.03 to -0.65], -0.15 [-0.49 to 0.19], -0.10 [-0.81 to 0.57], -0.18 [-0.76 to 0.39], and -0.56 [-0.88 to -0.26], respectively) and FPG (MD [95% CI], -20.40 [-26.07 to -14.57], -1.20 [-13.21 to 10.38], -10.43 [-34.16 to 12.65], -5.13 [-22.21 to 11.66], and -36.61 [-49.33 to -24.01], respectively). Compared to placebo, 20 mg of teneligliptin showed no significant difference in incidences of hypoglycemia and gastrointestinal adverse events (OR [95% CI], 1.30 [0.70 to 2.19] and 1.48 [0.78 to 2.98], respectively), and 40 mg of teneligliptin showed no significant difference in incidence of hypoglycemia (OR [95% CI], 2.63 [0.46 to 8.10]). Generally, antidiabetic effect and hypoglycemia risk of teneligliptin gradually increased as its dose increased from 5 mg to 40 mg. Compared to 20 mg of teneligliptin, 40 mg of teneligliptin showed superior efficacy and no-inferior safety, which was considered as the best option in reducing HbA1c, FPG, and 2h PPG and increasing proportion of the patients achieving HbA1c < 7% (SUCRA, 85.51%, 84.24%, 79.06%, and 85.81%, respectively) among all the included interventions.

Conclusion

Compared to sitagliptin, vildagliptin, metformin, bromocriptine, and placebo, teneligliptin displayed favorable efficacy and acceptable safety in treating T2DM. Twenty milligrams or 40 mg per day was the optimal dosage regimen of teneligliptin. The results of this study will provide important evidence-based basis for rational use of teneligliptin and clinical decision-making of T2DM medication.

Effects of externally-applied, non-pharmacological Interventions on short- and long-term symptoms and inflammatory cytokine levels in patients with knee osteoarthritis: a systematic review and network meta-analysis

Background

With the continuous development of clinical medicine, an increasing number of non-pharmacological interventions have been applied for the treatment of knee osteoarthritis (KOA), with the results of several recent randomized controlled trials (RCTs) showing that a variety of externally-applied, non-pharmacological interventions (EANPI) can improve symptoms and inflammation in patients with KOA. However, the relative benefits and disadvantages of non-drug therapies remain uncertain, and an optimal treatment strategy has not yet been determined.

Objective

This study applied network meta-analysis (NMA) to compare and rank the effectiveness of EANPI on the short- and long-term clinical symptoms and inflammatory cytokine levels in patients with KOA.

Methods

Two independent researchers searched online databases and performed manual retrieval of related citations to identify RCTs that met the selection criteria for the network meta-analysis. These researchers retrieved studies indexed from database inception to August 2023 and performed data extraction and assessment of the risk of bias.

Results

The analysis included 80 RCTs involving 8440 participants and nine externally-applied, non-pharmacological therapies, namely extracorporeal shock wave, radiofrequency, acupotomy, laser therapy, Tuina therapy, kinesio taping, electroacupuncture, platelet-rich plasma injection, and ozone therapy. The treatment courses ranged from 1 to 12 weeks, with follow-up periods ranging from 4 to 24 weeks. The results of the NMA indicated that each non-drug therapy was superior to sham intervention in improving all outcome indicators. Except for the visual analog scale (VAS) and Western Ontario MacMaster (WOMAC) pain outcomes, all non-drug therapies had better efficacy than pharmacological treatments. For short-term VAS and tumor necrosis factor-alpha (TNF-α), extracorporeal shock wave performed better than other therapies (90.2% and 85.2% respectively). Radiofrequency therapy may be the most promising method to reduce long-term VAS, short- and long-term WOMAC pain, and interleukin (IL)-1β level (84.8%, 97.8%, 90.1%, 94.8% respectively). Tuina therapy may be a significant choice for short- and long-term outcomes of WOMAC function and range of motion (ROM).

Conclusions

The results of the comprehensive comparison of the outcome indicators in 9 different EANPI indicated that radiofrequency and Tuina therapy were more effective and consistently ranked high in improving clinical symptoms in the short and long term. Radiofrequency is effective at relieving pain, and Tuina therapy can be given priority for treatment when hypofunction is the main symptom. EANPI to improve pain symptoms may be related to the regulation of inflammatory cytokine levels, which may be a potential mechanism of action.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?, identifier CRD42023464177.

Association of nonpharmacological interventions for cognitive function in older adults with mild cognitive impairment: a systematic review and network meta-analysis

BACKGROUND

Understanding the effectiveness of nonpharmacological interventions to improve cognitive function in older adults with MCI and identifying the best intervention may help inform ideas for future RCT studies and clinical decision-making.

AIM

The main focus of this study was to assess the comparative effectiveness of nonpharmacological interventions on cognitive function in older adults with MCI and to rank the interventions.

METHODS

RCT studies until September 2022 were searched from six databases, including PubMed, the Cochrane Library, Embase, Web of Science, PsycINFO and CINAHL. The risk of bias in eligible trials was evaluated using the Cochrane Risk of Bias tool. Both pairwise and network meta-analyses were used, and pooled effect sizes were reported using SMD and the corresponding 95% confidence intervals.

RESULTS

A total of 28 RCT studies were included in this study, pooling 18 categories of nonpharmacological interventions. MBE (mind-body exercise) (SMD (standard mean difference): 0.24, 95% CI: 0.08-0.41, P = 0.004), DTE (dual-task exercise) (SMD: 0.61, 95% CI: 0.09-1.13, P = 0.02), PE (physical exercise) (SMD: 0.58, 95% CI: 0.04-1.12, P = 0.03) may be effective in improving cognitive function in older adults with MCI. Acupressure + CT (cognitive training) was the top-ranked intervention among all interventions. No greater benefits of MA (mindful awareness) on cognitive function were found.

CONCLUSIONS

Overall, nonpharmacological interventions significantly improved cognitive function in older adults with MCI. Acupressure + CT(cognitive training) was the most effective intervention for managing cognitive impairment. Future studies with high quality and large sample size RCT studies are needed to confirm our results.

Modern Meta-Analytic Methods in Prevention Science: Introduction to the Special Issue

Meta-analyses that statistically synthesize evidence from multiple research studies can play an important role in advancing evidence-informed prevention science. When done in the context of a well-conducted systematic review, meta-analysis is a powerful tool for synthesizing evidence and exploring research questions that are difficult to address in individual studies, such as the association of individual study limitations on intervention effect estimates, replicability of empirical findings, and variation of effect estimates across populations and settings. Alongside the rapid growth in the number of published reviews and meta-analyses, there has been a parallel growth in the development of meta-analytic techniques to handle the increasingly complex types of questions and types of evidence relevant to prevention science. Despite this rapid evolution of meta-analytic techniques and approaches, there is still a lag between the development of new techniques and their uptake by researchers in the field. This paper serves as a brief introduction to this special issue of Prevention Science, entitled "Modern Meta-Analytic Methods in Prevention Science," which highlights recent developments in meta-analytic methods and demonstrates their application to prevention research. This special issue makes an important contribution to the field by ensuring these methodological advances are widely accessible to prevention science researchers, thereby improving their uptake and utilization, and ultimately improving the utility and rigor of research syntheses for informing evidence-based decision making in prevention.

Leveraging Research Synthesis Methods to Support Evidence-Based Policy- and Decision-Making

This commentary discusses the potential utility of research syntheses for evidence-based policy- and decision-making, examining the papers that comprise the special issue on modern meta-analytic methods. Evidence and data have the potential to play a critical role in the development of policies and in the administration of programs that meet the social and economic needs of children and families. Novel, innovative, and methodologically rigorous methods that allow for comprehensive and systematic research synthesis, such as those disseminated in this special issue, can help inform the work of the federal government and the prevention science field at large. Overall, the papers hold promise for strengthening the rigor of existing approaches, illustrate novel approaches, and demonstrate the utility of information that research syntheses can produce. Collectively, the studies in this special issue advance the available toolbox of methods that can be used to support evidence-based policy- and decision-making.

Next-Generation Meta-analysis for Next-Generation Questions: Introducing the Prevention Science Special Issue on Modern Meta-analytic Methods

This commentary accompanies the special issue of Prevention Science on modern meta-analytic methods. The papers that comprise this special issue are considered in terms of the next-generation meta-analytic questions they support: questions about multivariate relationships, drawing on real-life data structures, with improved usability, and answered openly. The contributions to this special issue illustrate a range of methods to address these questions, including meta-analytic structural equation modelling; robust variance estimation and network meta-analysis methods; transportability and causal inference; Bayesian methods; and open science. This special issue collectively represents a step forward in the field's ability to address questions of use to improving human welfare through preventing ill health, supporting uptake of these next-generation methods by applied researchers in prevention science. Future methodological developments in meta-analysis should be synergistic with the questions prevention scientists seek to answer, both creating new possibilities and meeting the challenges of improving human health and wellbeing.