Cargando…

Introducing the Treatment Hierarchy Question in Network Meta-Analysis

Comparative effectiveness research using network meta-analysis can present a hierarchy of competing treatments, from the most to the least preferable option. However, in published reviews, the research question associated with the hierarchy of multiple interventions is typically not clearly defined....

Descripción completa

Detalles Bibliográficos
Autores principales:	Salanti, Georgia, Nikolakopoulou, Adriani, Efthimiou, Orestis, Mavridis, Dimitris, Egger, Matthias, White, Ian R
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2021
Materias:	Practice of Epidemiology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071581/ https://www.ncbi.nlm.nih.gov/pubmed/35146500 http://dx.doi.org/10.1093/aje/kwab278

Ejemplares similares

Answering complex hierarchy questions in network meta-analysis
por: Papakonstantinou, Theodoros, et al.
Publicado: (2022)

A model for meta-analysis of correlated binary outcomes: The case of split-body interventions
por: Efthimiou, Orestis, et al.
Publicado: (2017)

Continuously updated network meta-analysis and statistical monitoring for timely decision-making
por: Nikolakopoulou, Adriani, et al.
Publicado: (2016)

Agreement between ranking metrics in network meta-analysis: an empirical study
por: Chiocchia, Virginia, et al.
Publicado: (2020)

Extensions of the probabilistic ranking metrics of competing treatments in network meta‐analysis to reflect clinically important relative differences on many outcomes
por: Mavridis, Dimitris, et al.
Publicado: (2019)

Joint synthesis of multiple correlated outcomes in networks of interventions
por: Efthimiou, Orestis, et al.
Publicado: (2015)

Living network meta-analysis compared with pairwise meta-analysis in comparative effectiveness research: empirical study
por: Nikolakopoulou, Adriani, et al.
Publicado: (2018)

CINeMA: Software for semiautomated assessment of the confidence in the results of network meta‐analysis
por: Papakonstantinou, Theodoros, et al.
Publicado: (2020)

Estimating the contribution of studies in network meta-analysis: paths, flows and streams
por: Papakonstantinou, Theodoros, et al.
Publicado: (2018)

Outcomes of non-invasive diagnostic modalities for the detection of coronary artery disease: network meta-analysis of diagnostic randomised controlled trials
por: Siontis, George CM, et al.
Publicado: (2018)

Estimating the sample size of sham-controlled randomized controlled trials using existing evidence
por: Siontis, George C.M., et al.
Publicado: (2022)

CINeMA: An approach for assessing confidence in the results of a network meta-analysis
por: Nikolakopoulou, Adriani, et al.
Publicado: (2020)

Synthesizing existing evidence to design future trials: survey of methodologists from European institutions
por: Nikolakopoulou, Adriani, et al.
Publicado: (2019)

Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis
por: Ostinelli, Edoardo Giuseppe, et al.
Publicado: (2022)

Planning a future randomized clinical trial based on a network of relevant past trials
por: Salanti, Georgia, et al.
Publicado: (2018)

Allowing for uncertainty due to missing continuous outcome data in pairwise and network meta‐analysis
por: Mavridis, Dimitris, et al.
Publicado: (2015)

The statistical importance of a study for a network meta-analysis estimate
por: Rücker, Gerta, et al.
Publicado: (2020)

Predicting outcomes at the individual patient level: what is the best method?
por: Liu, Qiang, et al.
Publicado: (2023)

Evaluation of Cumulative Meta-analysis of Rare Events as a Tool for Clinical Trials Safety Monitoring
por: Siontis, George C. M., et al.
Publicado: (2020)

Graphical Tools for Network Meta-Analysis in STATA
por: Chaimani, Anna, et al.
Publicado: (2013)

Dismantling cognitive-behaviour therapy for panic disorder: a systematic review and component network meta-analysis
por: Pompoli, Alessandro, et al.
Publicado: (2018)

ROB-MEN: a tool to assess risk of bias due to missing evidence in network meta-analysis
por: Chiocchia, Virginia, et al.
Publicado: (2021)

An investigation of the impact of using different methods for network meta-analysis: a protocol for an empirical evaluation
por: Karahalios, Amalia (Emily), et al.
Publicado: (2017)

The dark side of the force: Multiplicity issues in network meta‐analysis and how to address them
por: Efthimiou, Orestis, et al.
Publicado: (2019)

Bayesian models for aggregate and individual patient data component network meta‐analysis
por: Efthimiou, Orestis, et al.
Publicado: (2022)

Allowing for uncertainty due to missing and LOCF imputed outcomes in meta‐analysis
por: Mavridis, Dimitris, et al.
Publicado: (2018)

Characteristics of Networks of Interventions: A Description of a Database of 186 Published Networks
por: Nikolakopoulou, Adriani, et al.
Publicado: (2014)

Endoscopic and Open Release Similarly Safe for the Treatment of Carpal Tunnel Syndrome. A Systematic Review and Meta-Analysis
por: Vasiliadis, Haris S., et al.
Publicado: (2015)

The Kilim plot: A tool for visualizing network meta‐analysis results for multiple outcomes
por: Seo, Michael, et al.
Publicado: (2020)

Do reporting guidelines have an impact? Empirical assessment of changes in reporting before and after the PRISMA extension statement for network meta-analysis
por: Veroniki, Areti Angeliki, et al.
Publicado: (2021)

Considering Questions Before Methods in Dementia Research With Competing Events and Causal Goals
por: Rojas-Saunero, L Paloma, et al.
Publicado: (2023)

Correction: Do reporting guidelines have an impact? Empirical assessment of changes in reporting before and after the PRISMA extension statement for network meta-analysis
por: Veroniki, Areti Angeliki, et al.
Publicado: (2022)

Prevalence of evidence of inconsistency and its association with network structural characteristics in 201 published networks of interventions
por: Veroniki, Areti Angeliki, et al.
Publicado: (2021)

Α Markov model for longitudinal studies with incomplete dichotomous outcomes
por: Efthimiou, Orestis, et al.
Publicado: (2016)

Comparing methods for estimating patient‐specific treatment effects in individual patient data meta‐analysis
por: Seo, Michael, et al.
Publicado: (2020)

Benchmarking Observational Analyses Before Using Them to Address Questions Trials Do Not Answer: An Application to Coronary Thrombus Aspiration
por: Matthews, Anthony A, et al.
Publicado: (2022)

Studies of prevalence: how a basic epidemiology concept has gained recognition in the COVID-19 pandemic
por: Buitrago-Garcia, Diana, et al.
Publicado: (2022)

Canonical Causal Diagrams to Guide the Treatment of Missing Data in Epidemiologic Studies
por: Moreno-Betancur, Margarita, et al.
Publicado: (2018)

Development and validation of a meta-learner for combining statistical and machine learning prediction models in individuals with depression
por: Liu, Qiang, et al.
Publicado: (2022)

Analyses of Sensitivity to the Missing-at-Random Assumption Using Multiple Imputation With Delta Adjustment: Application to a Tuberculosis/HIV Prevalence Survey With Incomplete HIV-Status Data
por: Leacy, Finbarr P, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_03684hvc9nba3fplbbcdevtio4