Your browser doesn't support javascript.
loading
Centre for Statistical and Methodological Excellence (CESAME): A Consortium Initiative for Improving Methodology in Randomised Clinical Trials.
Jørgensen, Caroline Kamp; Olsen, Markus Harboe; Nielsen, Niklas; Lange, Theis; Mbuagbaw, Lawrence; Thabane, Lehana; Billot, Laurent; Binder, Nadine; Garattini, Silvio; Banzi, Rita; Demotes, Jacques; Biagioli, Elena; Rulli, Eliana; Bertolini, Guido; Nattino, Giovanni; Mathiesen, Ole; Torri, Valter; Gluud, Christian; Jakobsen, Janus Christian.
Afiliação
  • Jørgensen CK; Copenhagen Trial Unit, Centre for Clinical Intervention Research, The Capital Region, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
  • Olsen MH; Department of Regional Health Research, The Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.
  • Nielsen N; Copenhagen Trial Unit, Centre for Clinical Intervention Research, The Capital Region, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
  • Lange T; Department of Neuroanaesthesiology, the Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark.
  • Mbuagbaw L; Department of Clinical Sciences, Faculty of Medicine, Lund University, Sweden.
  • Thabane L; Department of Public Health/Section of Biostatistics, Copenhagen University, Copenhagen, Denmark.
  • Billot L; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.
  • Binder N; Biostatistics Unit, St Joseph's Healthcare Hamilton, Hamilton ON, Canada.
  • Garattini S; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.
  • Banzi R; Biostatistics Unit, St Joseph's Healthcare Hamilton, Hamilton ON, Canada.
  • Demotes J; Health Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa.
  • Biagioli E; The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia.
  • Rulli E; Department of Data Driven Medicine, Institute of General Practice/Family Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
  • Bertolini G; Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy.
  • Nattino G; Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy.
  • Mathiesen O; ECRIN European Clinical Research Infrastructure Network, Paris, France.
  • Torri V; Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy.
  • Gluud C; Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy.
  • Jakobsen JC; Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milano, Italy.
Health Serv Insights ; 16: 11786329231166519, 2023.
Article em En | MEDLINE | ID: mdl-37077323
ABSTRACT
When conducting randomised clinical trials, the choice of methodology and statistical analyses will influence the results. If the planned methodology is not of optimal quality and predefined in detail, there is a risk of biased trial results and interpretation. Even though clinical trial methodology is already at a very high standard, there are many trials that deliver biased results due to the implementation of inadequate methodology, poor data quality and erroneous or biased analyses. To increase the internal and external validity of randomised clinical trial results, several international institutions within clinical intervention research have formed The Centre for Statistical and Methodological Excellence (CESAME). Based on international consensus, the CESAME initiative will develop recommendations for the proper methodological planning, conduct and analysis of clinical intervention research. CESAME aims to increase the validity of randomised clinical trial results which will ultimately benefit patients worldwide across medical specialities. The work of CESAME will be performed within 3 closely interconnected pillars (1) planning randomised clinical trials; (2) conducting randomised clinical trials; and (3) analysing randomised clinical trials.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Guideline Idioma: En Revista: Health Serv Insights Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Dinamarca

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Guideline Idioma: En Revista: Health Serv Insights Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Dinamarca