A5037669114- Health Systems, Economic Evaluations, Quality of Life
- Meta-analysis and systematic reviews
- Mental Health Research Topics
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
- Clinical practice guidelines implementation
- Smoking Behavior and Cessation
- Nutritional Studies and Diet
- Health disparities and outcomes
- Statistical Methods and Bayesian Inference
- Diverse Approaches in Healthcare and Education Studies
- Birth, Development, and Health
- Musculoskeletal pain and rehabilitation
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Healthcare cost, quality, practices
- Diabetes Management and Research
- Pain Management and Placebo Effect
- Obesity, Physical Activity, Diet
- Pharmaceutical Economics and Policy
- Health, Environment, Cognitive Aging
- Chronic Disease Management Strategies
- Disaster Response and Management
- Diabetes Treatment and Management
- Occupational Health and Safety Research
- Innovation Policy and R&D
University of Bristol
2017-2025
At Bristol
2024
MRC Integrative Epidemiology Unit
2021
University of Sheffield
2021
MRC Epidemiology Unit
2021
Universidad de Murcia
2021
Bristol Regional Medical Center
2017-2019
University of York
2017
University of Leicester
2017
Standard methods for indirect comparisons and network meta-analysis are based on aggregate data, with the key assumption that there is no difference between trials in distribution of effect-modifying variables. Methods which relax this becoming increasingly common submissions to reimbursement agencies, such as National Institute Health Care Excellence (NICE). These use individual patient data from a subset form population-adjusted treatments, specific target population. Recently proposed...
Standard network meta-analysis (NMA) and indirect comparisons combine aggregate data from multiple studies on treatments of interest, assuming that any effect modifiers are balanced across populations. Population adjustment methods relax this assumption using individual patient one or more studies. However, current matching-adjusted comparison simulated treatment limited to pairwise cannot predict into a specified target population. Existing meta-regression approaches incur aggregation bias....
A network meta-analysis combines the evidence from existing randomised trials about comparative efficacy of multiple treatments. It allows direct and indirect each comparison to be included in same analysis, provides a coherent framework compare rank traditional uses aggregate data (eg, treatment effect estimates standard errors) obtained publications or trial investigators. An alternative approach is obtain, check, harmonise meta-analyse individual participant (IPD) trial. In this article,...
Guideline development requires the synthesis of evidence on several treatments interest, typically by using network meta-analysis (NMA). Because treatment effects may be estimated imprecisely or based lacking internal external validity, guideline developers must assess robustness recommendations made basis NMA to potential limitations in evidence. Such arise because observed estimates differ from true for example, study biases, sampling variation, issues relevance. The widely used GRADE...
267 Background: Existing NMA in mHSPC compare treatments assuming homogeneity treatment effect modifiers across study populations. However, evidence suggests that these effects vary mHSPC. This employs the recent methods of multilevel network meta-regression (ML-NMR) and meta interpolation (NMI) to adjust for population differences predict relative estimates an ARASENS-like target population. Methods: We used a systematic literature review identify studies our on overall survival (OS)...
Background The representation of frailty in type 2 diabetes trials is unclear. This study used individual participant data from newer glucose-lowering therapies to quantify and assess the association between efficacy adverse events. Methods findings We analysed IPD 34 sodium-glucose cotransporter (SGLT2) inhibitors, glucagon-like peptide-1 (GLP1) receptor agonists, dipeptidyl peptidase 4 (DDP4) inhibitors. Frailty was quantified using a cumulative deficit index (FI). For each trial, we...
Summary Network meta-analysis (NMA) pools evidence on multiple treatments to estimate relative treatment effects. Included studies are typically assessed for risk of bias; however, this provides no indication the impact potential bias a decision based NMA. We propose methods derive adjustment thresholds which measure smallest changes data that result in change decision. The use efficient matrix operations and can be applied explore consequences individual or aggregate contrasts, both fixed...
ABSTRACT Background The treatment recommendation based on a Network Meta-analysis (NMA) is usually the single with highest Expected Value (EV) an evaluative function. We explore approaches which recommend multiple treatments and penalize uncertainty, making them suitable for risk-averse decision makers. Methods introduce Loss-adjusted EV (LaEV) compare it to GRADE three probability-based rankings. define properties of valid ranking under uncertainty other desirable systems. A two-stage...
Indirect comparisons are used to obtain estimates of relative effectiveness between two treatments that have not been compared in the same randomized controlled trial, but instead against a common comparator separate trials. Standard indirect use only aggregate data, under assumption there no differences effect‐modifying variables trial populations. Population‐adjusted aim relax this by using individual patient data (IPD) from one adjust for effect modifiers At present, most commonly...
Many targeted, systemic therapies have been developed for treatment of moderate-to-severe psoriasis (PsO). A network meta-analysis (NMA) allows comparison between treatments not directly compared in randomized controlled trials (RCT). This study's objective was to compare the short-term (10-16 weeks) clinical efficacy according Psoriasis Area and Severity Index (PASI) among approved biologic PsO using a novel (enhanced) NMA model.A systematic literature review (SLR) RCTs patients with...
Network meta-analysis combines aggregate data (AgD) from multiple randomised controlled trials, assuming that any effect modifiers are balanced across populations. Individual patient (IPD) meta-regression is the "gold standard" method to relax this assumption, however IPD frequently only available in a subset of studies. Multilevel network (ML-NMR) extends incorporate AgD studies whilst avoiding aggregation bias, but currently requires aggregate-level likelihood have known closed form....