scholarly journals Methods for the inclusion of real-world evidence in network meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
David A. Jenkins ◽  
Humaira Hussein ◽  
Reynaldo Martina ◽  
Pascale Dequen-O’Byrne ◽  
Keith R. Abrams ◽  
...  
Keyword(s):  
Real World ◽  
Evidence Synthesis ◽  
Meta Analysis ◽  
Bayesian Hierarchical ◽  
Real World Evidence ◽  
Direct Head ◽  
Power Prior ◽  
Credible Intervals ◽  
Randomised Controlled ◽  
The Impact

Abstract Background Network Meta-Analysis (NMA) is a key component of submissions to reimbursement agencies world-wide, especially when there is limited direct head-to-head evidence for multiple technologies from randomised controlled trials (RCTs). Many NMAs include only data from RCTs. However, real-world evidence (RWE) is also becoming widely recognised as a valuable source of clinical data. This study aims to investigate methods for the inclusion of RWE in NMA and its impact on the level of uncertainty around the effectiveness estimates, with particular interest in effectiveness of fingolimod. Methods A range of methods for inclusion of RWE in evidence synthesis were investigated by applying them to an illustrative example in relapsing remitting multiple sclerosis (RRMS). A literature search to identify RCTs and RWE evaluating treatments in RRMS was conducted. To assess the impact of inclusion of RWE on the effectiveness estimates, Bayesian hierarchical and adapted power prior models were applied. The effect of the inclusion of RWE was investigated by varying the degree of down weighting of this part of evidence by the use of a power prior. Results Whilst the inclusion of the RWE led to an increase in the level of uncertainty surrounding effect estimates in this example, this depended on the method of inclusion adopted for the RWE. ‘Power prior’ NMA model resulted in stable effect estimates for fingolimod yet increasing the width of the credible intervals with increasing weight given to RWE data. The hierarchical NMA models were effective in allowing for heterogeneity between study designs, however, this also increased the level of uncertainty. Conclusion The ‘power prior’ method for the inclusion of RWE in NMAs indicates that the degree to which RWE is taken into account can have a significant impact on the overall level of uncertainty. The hierarchical modelling approach further allowed for accommodating differences between study types. Consequently, further work investigating both empirical evidence for biases associated with individual RWE studies and methods of elicitation from experts on the extent of such biases is warranted.

scholarly journals N15 A ‘real-world’ observational multi-centre study comparing the side effects and patient acceptability of budesonide MMX with prednisolone in patients with mild to moderate ulcerative colitis

2020 ◽  
Vol 14 (Supplement_1) ◽  
pp. S664-S665
Author(s):  
J Kearns ◽  
L Scullion ◽  
C Masterson ◽  
N Kennedy ◽  
C Butcher
Keyword(s):  
Ulcerative Colitis ◽  
Side Effects ◽  
Real World ◽  
Additional Data ◽  
Patient Acceptability ◽  
Multi Centre Study ◽  
Real World Evidence ◽  
Randomised Controlled ◽  
The Impact

Abstract Background Budesonide MMX is indicated for the induction of remission in mild to moderate Ulcerative Colitis (UC) patients when 5-ASA treatment is not sufficient. Unlike traditional first-generation glucocorticoid steroids such as prednisolone, budesonide MMX has demonstrated a robust safety profile, comparable to placebo in several randomised controlled trials1,2,3. There is however limited real-world evidence to substantiate this safety claim in clinical practice. The aim of this observational analysis is to evaluate the tolerability and ease of administration of budesonide MMX in the real-world setting using prednisolone as a benchmark. Methods Patients receiving treatment for mild to moderate UC were identified in 3 treatment centres between April and October 2019. After providing privacy and data consent, patients completed a detailed nurse-led questionnaire regarding their experiences with prednisolone treatment. Following 6 weeks of therapy with budesonide MMX, patients were sent a follow-up questionnaire. Data from both the initial and subsequent questionnaires were entered by the nurse into a database for assimilation and analysis. Results Twenty-eight patients completed initial and follow-up questionnaires. Of these, 78.6% (n = 22) had experienced ≥1 prednisolone-related side effects. In comparison, following treatment with budesonide MMX, 21.4% (n = 6) reported ≥1 side effects. Instances of these side effects are shown in Figure 1. 46.4% of patients (n = 13) reported the impact of prednisolone-related side effects on daily life as moderate or severe vs. 7.1% (n = 2) following treatment with budesonide MMX. By week 2 of treatment with budesonide MMX, rectal bleeding was resolved in 32.1% of patients (n = 9) and stool frequency in 35.7% (n = 10). 93.1% (n = 27) found the instructions to take budesonide MMX given by the health care professional very easy to understand and of those expressing a preference, 71.1% of patients (n = 19) would take budesonide MMX again if prescribed. Additional data will be presented. Conclusion Data from this ‘real-world’ observational study appear to support the safely profile of budesonide MMX reported in clinical trials. The incidence of patients who experienced > 1 side-effect was nearly 4 times lower for budesonide vs. prednisolone. In addition, budesonide MMX therapy was acceptable to the majority of patients and accompanying instructions easy to understand. Additional data will be presented. References

scholarly journals Bayesian hierarchical methods for meta-analysis combining randomized-controlled and single-arm studies

2018 ◽  
Vol 28 (5) ◽  
pp. 1293-1310 ◽  
Author(s):  
Jing Zhang ◽  
Chia-Wen Ko ◽  
Lei Nie ◽  
Yong Chen ◽  
Ram Tiwari
Keyword(s):  
Randomized Controlled Trials ◽  
Evidence Synthesis ◽  
Meta Analysis ◽  
Bias Reduction ◽  
Controlled Trials ◽  
Efficiency Gain ◽  
Prior Model ◽  
Bayesian Hierarchical ◽  
Randomized Controlled ◽  
Power Prior

Meta-analysis of interventions usually relies on randomized controlled trials. However, when the dominant source of information comes from single-arm studies, or when the results from randomized controlled trials lack generalization due to strict inclusion and exclusion criteria, it is vital to synthesize both sources of evidence. One challenge of synthesizing both sources is that single-arm studies are usually less reliable than randomized controlled trials due to selection bias and confounding factors. In this paper, we propose a Bayesian hierarchical framework for the purpose of bias reduction and efficiency gain. Under this framework, three methods are proposed: bivariate generalized linear mixed effects models, hierarchical power prior model and hierarchical commensurate prior model. Design difference and potential biases are considered in all models, within which the hierarchical power prior and hierarchical commensurate prior models further offer to downweight single-arm studies flexibly. The hierarchical commensurate prior model is recommended as the primary method for evidence synthesis because of its accuracy and robustness. We illustrate our methods by applying all models to two motivating datasets and evaluate their performance through simulation studies. We finish with a discussion of the advantages and limitations of our methods, as well as directions for future research in this area.

scholarly journals Non-pharmaceutical interventions, vaccination and the Delta variant: epidemiological insights from modelling England’s COVID-19 roadmap out of lockdown

2021 ◽  
Author(s):  
Raphael Sonabend ◽  
Lilith K. Whittles ◽  
Natsuko Imai ◽  
Pablo N Perez-Guzman ◽  
Edward S Knock ◽  
...  
Keyword(s):  
Vaccination Coverage ◽  
Real World ◽  
Evidence Synthesis ◽  
Vaccine Effectiveness ◽  
Vaccine Uptake ◽  
Large Wave ◽  
Real World Evidence ◽  
The Impact ◽  
Pharmaceutical Interventions ◽  
Roll Out

AbstractBackgroundEngland’s COVID-19 “roadmap out of lockdown” set out the timeline and conditions for the stepwise lifting of non-pharmaceutical interventions (NPIs) as vaccination roll-out continued. Here we assess the roadmap, the impact of the Delta variant, and potential future epidemic trajectories.MethodsWe extended a model of SARS-CoV-2 transmission to incorporate vaccination and multi-strain dynamics to explicitly capture the emergence of the Delta variant. We calibrated the model to English surveillance data using a Bayesian evidence synthesis framework, then modelled the potential trajectory of the epidemic for a range of different schedules for relaxing NPIs.FindingsThe roadmap was successful in offsetting the increased transmission resulting from lifting NPIs with increasing population immunity through vaccination. However due to the emergence of Delta, with an estimated transmission advantage of 73% (95%CrI: 68-79) over Alpha, fully lifting NPIs on 21 June 2021 as originally planned may have led to 3,400 (95%CrI: 1,300-4,400) peak daily hospital admissions under our central parameter scenario. Delaying until 19 July reduced peak hospitalisations by three-fold to 1,400 (95%CrI: 700-1,500) per day. There was substantial uncertainty in the epidemic trajectory, with particular sensitivity to estimates of vaccine effectiveness and the intrinsic transmissibility of Delta.InterpretationOur findings show that the risk of a large wave of COVID hospitalisations resulting from lifting NPIs can be substantially mitigated if the timing of NPI relaxation is carefully balanced against vaccination coverage. However, with Delta, it may not be possible to fully lift NPIs without a third wave of hospitalisations and deaths, even if vaccination coverage is high. Variants of concern, their transmissibility, vaccine uptake, and vaccine effectiveness must be carefully monitored as countries relax pandemic control measures.FundingNational Institute for Health Research, UK Medical Research Council, Wellcome Trust, UK Foreign, Commonwealth & Development Office.Research in contextEvidence before this studyWe searched PubMed up to 23 July 2021 with no language restrictions using the search terms: (COVID-19 or SARS-CoV-2 or 2019-nCoV or “novel coronavirus”) AND (vaccine or vaccination) AND (“non pharmaceutical interventions” OR “non-pharmaceutical interventions) AND (model*). We found nine studies that analysed the relaxation of controls with vaccination roll-out. However, none explicitly analysed real-world evidence balancing lifting of interventions, vaccination, and emergence of the Delta variant.Added value of this studyOur data synthesis approach combines real-world evidence from multiple data sources to retrospectively evaluate how relaxation of COVID-19 measures have been balanced with vaccination roll-out. We explicitly capture the emergence of the Delta variant, its transmissibility over Alpha, and quantify its impact on the roadmap. We show the benefits of maintaining NPIs whilst vaccine coverage continues to increase and capture key uncertainties in the epidemic trajectory after NPIs are lifted.Implications of all the available evidenceOur study shows that lifting interventions must be balanced carefully and cautiously with vaccine roll-out. In the presence of a new, highly transmissible variant, vaccination alone may not be enough to control COVID-19. Careful monitoring of vaccine uptake, effectiveness, variants, and changes in contact patterns as restrictions are lifted will be critical in any exit strategy.

1607-P: Real-World Evidence of the Impact of Obesity on Residual Teeth in the Japanese Population

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1607-P
Author(s):  
MAYU HAYASHI ◽  
KATSUTARO MORINO ◽  
KAYO HARADA ◽  
MIKI ISHIKAWA ◽  
ITSUKO MIYAZAWA ◽  
...  
Keyword(s):  
Real World ◽  
Japanese Population ◽  
Real World Evidence ◽  
The Impact

The impact of anti-CGRP monoclonal antibodies in resistant migraine patients: a real-world evidence observational study

2021 ◽  
Author(s):  
Marta Torres-Ferrús ◽  
Victor J. Gallardo ◽  
Alicia Alpuente ◽  
Edoardo Caronna ◽  
Eulalia Gine-Cipres ◽  
...  
Keyword(s):  
Monoclonal Antibodies ◽  
Observational Study ◽  
Real World ◽  
Real World Evidence ◽  
The Impact

SMART for the treatment of asthma: a network meta-analysis of real-world evidence

2021 ◽  
pp. 106611
Author(s):  
Paola Rogliani ◽  
Richard Beasley ◽  
Mario Cazzola ◽  
Luigino Calzetta
Keyword(s):  
Real World ◽  
Meta Analysis ◽  
Real World Evidence

scholarly journals Sleep in youth with autism spectrum disorders: systematic review and meta-analysis of subjective and objective studies

2018 ◽  
Vol 21 (4) ◽  
pp. 146-154 ◽  
Author(s):  
Amparo Díaz-Román ◽  
Junhua Zhang ◽  
Richard Delorme ◽  
Anita Beggiato ◽  
Samuele Cortese
Keyword(s):  
Systematic Review ◽  
Autism Spectrum Disorders ◽  
Evidence Synthesis ◽  
Meta Analysis ◽  
Autism Spectrum ◽  
Newcastle Ottawa Scale ◽  
Spectrum Disorders ◽  
Sleep Alterations ◽  
The Impact ◽  
Ottawa Scale

BackgroundSleep problems are common and impairing in individuals with autism spectrum disorders (ASD). Evidence synthesis including both subjective (ie, measured with questionnaires) and objective (ie, quantified with neurophysiological tools) sleep alterations in youth with ASD is currently lacking.ObjectiveWe conducted a systematic review and meta-analysis of subjective and objective studies sleep studies in youth with ASD.MethodsWe searched the following electronic databases with no language, date or type of document restriction up to 23 May 2018: PubMed, PsycInfo, Embase+Embase Classic, Ovid Medline and Web of Knowledge. Random-effects models were used. Heterogeneity was assessed with Cochran’s Q and I2 statistics. Publication (small studies) bias was assessed with final plots and the Egger’s test. Study quality was evaluated with the Newcastle Ottawa Scale. Analyses were conducted using Review Manager and Comprehensive Meta-Analysis.FindingsFrom a pool of 3359 non-duplicate potentially relevant references, 47 datasets were included in the meta-analyses. Subjective and objective sleep outcome measures were extracted from 37 and 15 studies, respectively. Only five studies were based on comorbidity free, medication-naïve participants. Compared with typically developing controls, youth with ASD significantly differed in 10/14 subjective parameters and in 7/14 objective sleep parameters. The average quality score in the Newcastle-Ottawa Scale was 5.9/9.Discussion and clinical implicationsA number of subjective and, to a less extent, objective sleep alterations might characterise youth with ASD, but future studies should assess the impact of pharmacological treatment and psychiatric comorbidities.

scholarly journals Real-world evidence on sodium-glucose cotransporter-2 inhibitor use and risk of Fournier’s gangrene

2020 ◽  
Vol 8 (1) ◽  
pp. e000985 ◽  
Author(s):  
Jeff Yufeng Yang ◽  
Tiansheng Wang ◽  
Virginia Pate ◽  
John B Buse ◽  
Til Stürmer
Keyword(s):  
Real World ◽  
Fournier’S Gangrene ◽  
Sensitivity Analyses ◽  
Standardized Mortality Ratio ◽  
Fournier's Gangrene ◽  
Diagnosis Codes ◽  
Sodium Glucose Cotransporter ◽  
Real World Evidence ◽  
Increased Risk ◽  
The Impact

BackgroundSodium-glucose cotransporter-2 inhibitors (SGLT2i) have been associated with increased occurrence of Fournier’s gangrene (FG), a rare but serious form of necrotizing fasciitis, leading to a warning from the Food and Drug Administration. Real-world evidence on FG is needed to validate this warning.MethodsWe used data from IBM MarketScan (2013–2017) to compare the incidence of FG among adult patients who initiated either SGLT2i, a dipeptidyl peptidase-4 inhibitor (DPP4i), or any non-SGLT2i antihyperglycemic medication. FG was defined using inpatient International Classification of Diseases, Ninth Edition and Tenth Edition diagnosis codes 608.83 and N49.3, respectively, combined with procedure codes for debridement, surgery, or systemic antibiotics. We estimated crude incidence rates (IRs) using Poisson regression, and crude and adjusted HRs (aHR) and 95% CIs using standardized mortality ratio-weighted Cox proportional hazards models. Sensitivity analyses examined the impact of alternative outcome definitions.ResultsWe identified 211 671 initiators of SGLT2i (n=93 197) and DPP4i (n=118 474), and 305 329 initiators of SGLT2i (n=32 868) and non-SGLT2i (n=272 461). Crude FG IR ranged from 3.2 to 3.8 cases per 100 000 person-years during a median follow-up of 0.51–0.58 years. Compared with DPP4i, SGLT2i initiation was not associated with increased risk of FG for any outcome definition, with aHR estimates ranging from 0.25 (0.04–1.74) to 1.14 (0.86–1.51). In the non-SGLT2i comparison, we observed an increased risk of FG for SGLT2i initiators when using FG diagnosis codes alone, using all diagnosis settings (aHR 1.80; 0.53–6.11) and inpatient diagnoses only (aHR 4.58; 0.99–21.21).ConclusionsNo evidence of increased risk of FG associated with SGLT2i was observed compared with DPP4i, arguably the most relevant clinical comparison. However, uncertainty remains based on potentially higher risk in the broader comparison with all non-SGLT2i antihyperglycemic agents and the rarity of FG.Trial registration numberEUPAS Register Number 30018.

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