Evidence map›Paper›PMID 35735014›Full record

ReviewMultiple sclerosis (Houndmills, Basingstoke, England)2023

Decentralised clinical trials in multiple sclerosis research.

Afagh Garjani, Brandon Jun-Yu Liu, Christopher Martin Allen, Douglas David Gunzler, Stephen William Gerry, Sarah Marie Planchon, Roshan das Nair, Jeremy Chataway, Emma C Tallantyre, Daniel Ontaneda and 1 more

Abstract readReview
In one paragraph

Review in Multiple sclerosis (Houndmills, Basingstoke, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Trial
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Afagh GarjaniMental Health and Clinical Neurosciences Academic Unit, School of Medicine, University of Nottingham, Nottingham, UK/Academic Neurology, Nottingham University Hospitals NHS Trust, Nottingham, UK.ORCID 0000-0001-9271-346X
Brandon Jun-Yu LiuSchool of Psychology, University of Nottingham, Nottingham, UK.
Christopher Martin AllenMental Health and Clinical Neurosciences Academic Unit, School of Medicine, University of Nottingham, Nottingham, UK/Academic Neurology, Nottingham University Hospitals NHS Trust, Nottingham, UK.ORCID 0000-0002-8225-8747
Douglas David GunzlerThe MetroHealth System and Case Western Reserve University, Cleveland, OH, USA.
Stephen William GerryCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Sarah Marie PlanchonMellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, OH, USA.ORCID 0000-0002-5093-0754
Roshan das NairMental Health and Clinical Neurosciences Academic Unit, School of Medicine, University of Nottingham, Nottingham, UK/Institute of Mental Health, Nottinghamshire Healthcare NHS Foundation Trust, Nottingham, UK.ORCID 0000-0001-8143-7893
Jeremy ChatawayQueen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK/National Institute for Health Research, University College London Hospitals Biomedical Research Centre, London, UK/MRC CTU at UCL, Institute of Clinical Trials and Methodology, University College London, London, UK.
Emma C TallantyreHelen Durham Neuro-Inflammatory Unit, University Hospital of Wales, Cardiff, UK/Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK.ORCID 0000-0002-3760-6634
Daniel OntanedaMellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, OH, USA.ORCID 0000-0002-2838-9148
Nikos EvangelouMental Health and Clinical Neurosciences Academic Unit, School of Medicine, University of Nottingham, Nottingham, UK/Academic Neurology, Nottingham University Hospitals NHS Trust, Nottingham, UK.ORCID 0000-0003-2871-0672

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Randomised controlled trials (RCTs) play an important role in multiple sclerosis (MS) research, ensuring that new interventions are safe and efficacious before their introduction into clinical practice. Trials have been evolving to improve the robustness of their designs and the efficiency of their conduct. Advances in digital and mobile technologies in recent years have facilitated this process and the first RCTs with decentralised elements became possible. Decentralised clinical trials (DCTs) are conducted remotely, enabling participation of a more heterogeneous population who can participate in research activities from different locations and at their convenience. DCTs also rely on digital and mobile technologies which allows for more flexible and frequent assessments. While hospitals quickly adapted to e-health and telehealth assessments during the COVID-19 pandemic, the conduct of conventional RCTs was profoundly disrupted. In this paper, we review the existing evidence and gaps in knowledge in the design and conduct of DCTs in MS.

Indexed as

COVID-19Multiple SclerosisTelemedicineHumansclinical trialDecentraliseddigitalmultiple sclerosisrandomised controlled trialremote

Identifiers

PMID35735014
PMCPMC9972228

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.