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A survey of experts to identify methods to detect problematic studies: Stage 1 of the INSPECT-SR Project.
Wilkinson, Jack; Heal, Calvin; Antoniou, George A; Flemyng, Ella; Avenell, Alison; Barbour, Virginia; Bordewijk, Esmee M; Brown, Nicholas J L; Clarke, Mike; Dumville, Jo; Grohmann, Steph; Gurrin, Lyle C; Hayden, Jill A; Hunter, Kylie E; Lam, Emily; Lasserson, Toby; Li, Tianjing; Lensen, Sarah; Liu, Jianping; Lundh, Andreas; Meyerowitz-Katz, Gideon; Mol, Ben W; O'Connell, Neil E; Parker, Lisa; Redman, Barbara; Seidler, Anna Lene; Sheldrick, Kyle; Sydenham, Emma; Dahly, Darren L; van Wely, Madelon; Bero, Lisa; Kirkham, Jamie J.
Afiliação
  • Wilkinson J; Centre for Biostatistics, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
  • Heal C; Centre for Biostatistics, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
  • Antoniou GA; Manchester Vascular Centre, Manchester University NHS Foundation Trust, Manchester, UK.
  • Flemyng E; Division of Cardiovascular Sciences, School of Medical Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Avenell A; Evidence Production and Methods Directorate, Cochrane Central Executive, London, UK.
  • Barbour V; Health Services Research Unit, University of Aberdeen, Aberdeen, UK.
  • Bordewijk EM; Medical Journal of Australia, Sydney, Australia.
  • Brown NJL; Centre for Reproductive Medicine, Department of Obstetrics and Gynaecology, Amsterdam University Medical Center, Netherlands.
  • Clarke M; Department of Psychology, Linnaeus University, Sweden.
  • Dumville J; Northern Ireland Methodology Hub, Queen's University Belfast, UK.
  • Grohmann S; Division of Nursing, Midwifery & Social Work, School of Health Sciences, The University of Manchester, Manchester, UK.
  • Gurrin LC; NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
  • Hayden JA; Evidence Production and Methods Directorate, Cochrane Central Executive, London, UK.
  • Hunter KE; School of Population and Global Health, The University of Melbourne, Australia.
  • Lam E; Department of Community Health & Epidemiology, Dalhousie University, Canada.
  • Lasserson T; NHMRC Clinical Trials Centre, University of Sydney, Australia.
  • Li T; Independent lay member, unaffiliated, UK.
  • Lensen S; Evidence Production and Methods Directorate, Cochrane Central Executive, London, UK.
  • Liu J; Department of Ophthalmology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
  • Lundh A; Department of Obstetrics, Gynaecology and Newborth Health, Royal Women's Hospital, University of Melbourne, Melbourne, Australia.
  • Meyerowitz-Katz G; Director, Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
  • Mol BW; Cochrane Denmark & Centre for Evidence-Based Medicine Odense, Department of Clinical Research, University of Southern Denmark, Denmark.
  • O'Connell NE; Department of Respiratory Medicine and Infectious Diseases, Copenhagen University Hospital Bispebjerg and Frederiksberg, Denmark.
  • Parker L; School of Health and Society, University of Wollongong, Australia.
  • Redman B; Department of Obstetrics and Gynaecology, Monash University, Melbourne, Australia.
  • Seidler AL; Department of Health Sciences, Centre for Wellbeing Across the Lifecourse, Brunel University London, UK.
  • Sheldrick K; Charles Perkins Centre, Faculty Medicine & Health, University of Sydney, Sydney, Australia.
  • Sydenham E; New York University, New York, USA.
  • Dahly DL; NHMRC Clinical Trials Centre, University of Sydney, Australia.
  • van Wely M; Faculty of Medicine, University of New South Wales, Australia.
  • Bero L; Cochrane Central Editorial Service, London, UK.
  • Kirkham JJ; HRB Clinical Research Facility, University College Cork, Cork, Ireland.
medRxiv ; 2024 Mar 25.
Article em En | MEDLINE | ID: mdl-38585914
ABSTRACT

Background:

Randomised controlled trials (RCTs) inform healthcare decisions. Unfortunately, some published RCTs contain false data, and some appear to have been entirely fabricated. Systematic reviews are performed to identify and synthesise all RCTs which have been conducted on a given topic. This means that any of these 'problematic studies' are likely to be included, but there are no agreed methods for identifying them. The INSPECT-SR project is developing a tool to identify problematic RCTs in systematic reviews of healthcare-related interventions. The tool will guide the user through a series of 'checks' to determine a study's authenticity. The first objective in the development process is to assemble a comprehensive list of checks to consider for inclusion.

Methods:

We assembled an initial list of checks for assessing the authenticity of research studies, with no restriction to RCTs, and categorised these into five domains Inspecting results in the paper; Inspecting the research team; Inspecting conduct, governance, and transparency; Inspecting text and publication details; Inspecting the individual participant data. We implemented this list as an online survey, and invited people with expertise and experience of assessing potentially problematic studies to participate through professional networks and online forums. Participants were invited to provide feedback on the checks on the list, and were asked to describe any additional checks they knew of, which were not featured in the list.

Results:

Extensive feedback on an initial list of 102 checks was provided by 71 participants based in 16 countries across five continents. Fourteen new checks were proposed across the five domains, and suggestions were made to reword checks on the initial list. An updated list of checks was constructed, comprising 116 checks. Many participants expressed a lack of familiarity with statistical checks, and emphasized the importance of feasibility of the tool.

Conclusions:

A comprehensive list of trustworthiness checks has been produced. The checks will be evaluated to determine which should be included in the INSPECT-SR tool.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article