Evidence map›Paper›PMID 33020111›Full record

Observational studyBMJ open2020

How achievable are COVID-19 clinical trial recruitment targets? A UK observational cohort study and trials registry analysis.

Nick G Cunniffe, Simon J Gunter, Michael Brown, Sarah W Burge, Clare Coyle, Anthony De Soyza, Tom Dymond, Hanif Esmail, Darrel P Francis, Jacqui Galloway and 18 more

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Implementation ofJournal of clinical and translational science · 2024
    Article
  2. Article
  3. Article
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  7. Article
  8. Clinical Trial Data Sharing for COVID-19-Related Research.Journal of medical Internet research · 2021
    Article
  9. 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

28 authors.

Nick G Cunniffe *Department of Clinical Neurosciences, Cambridge University, Cambridge, UK.ORCID 0000-0002-7562-2838
Simon J Gunter *Harvard Medical School, Harvard University, Boston, Massachusetts, USA.ORCID 0000-0001-7125-9296
Michael BrownDivision of Infection, University College London Hospital NHS Trust, London, UK.
Sarah W BurgeCancer Research UK Urological Malignancies Programme, Department of Oncology, University of Cambridge, Cambridge, UK.
Clare CoyleDepartment of Cardiology, Hammersmith Hospitals NHS Trust, London, UK.
Anthony De SoyzaRespiratory Medicine, Freeman Hospital, Newcastle upon Tyne, UK.
Tom DymondDepartment of Infection and Inflammation Research, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Hanif EsmailHospital for Tropical Diseases, University College London Hospitals NHS Foundation Trust, London, UK.
Darrel P FrancisFaculty of Medicine, National Heart & Lung Institute, Imperial College London, London, UK.
Jacqui GallowayDepartment of Respiratory Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
James B GallowayCentre for Rheumatic Diseases, Kings College London, London, UK.ORCID 0000-0002-1230-2781
Effrossyni Gkrania-KlotsasDepartment of Infectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Jane GreenawayResearch and Development, North Tees Hospital, Stockton-on-Tees, UK.
George KatritsisNational Heart and Lung Institute, Imperial College London, London, UK.
Prapa KanagaratnamDepartment of Cardiology, St Marys Hospital, Imperial College Healthcare NHS Trust, London, UK.
Martin D KnolleDepartment of Respiratory Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Kelly LeonardCambridge Urology Translational Research and Clinical Trials Department, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Zoe C McIntyreSchool of Clinical Medicine, Office for Translational Research, University of Cambridge, Cambridge, UK.
Ben PrudonDepartment of Respiratory Medicine, North Tees Hospital, Stockton-on-Tees, UK.
Tommy RamplingDivision of Pathology, University College London Hospital NHS Trust, London, United Kingdom.
Mili Estee TorokUniversity of Cambridge, Cambridge, UK.ORCID 0000-0001-9098-8590
Ben WarneCambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge, Cambridge, UK.
Mark YatesCentre for Rheumatic Diseases, Kings College London, London, UK.
Nicholas J MathesonDepartment of Infectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Li SuMRC Biostatistics Unit, University of Cambridge School of Clinical Medicine, Cambridge Institute of Public Health, Cambridge, United Kingdom.
Sofia VillarMRC Biostatistics Unit, University of Cambridge School of Clinical Medicine, Cambridge Institute of Public Health, Cambridge, United Kingdom.
Grant D Stewart *Cancer Research UK Urological Malignancies Programme, Department of Oncology, University of Cambridge, Cambridge, UK.ORCID 0000-0003-3188-9140
Mark Toshner *Department of Medicine, University of Cambridge, Cambridge, UK mrt34@medschl.cam.ac.uk.

Funding

British Heart Foundation FS/20/14/34917Medical Research Council G0701652Medical Research Council MC_UU_00002/15Medical Research Council MR/P008801/1
6 · The paper itself

Abstract

objectivesTo analyse enrolment to interventional trials during the first wave of the COVID-19 pandemic in England and describe the barriers to successful recruitment in the circumstance of a further wave or future pandemics.

designWe analysed registered interventional COVID-19 trial data and concurrently did a prospective observational study of hospitalised patients with COVID-19 who were being assessed for eligibility to one of the RECOVERY, C19-ACS or SIMPLE trials.

settingInterventional COVID-19 trial data were analysed from the clinicaltrials.gov and International Standard Randomized Controlled Trial Number databases on 12 July 2020. The patient cohort was taken from five centres in a respiratory National Institute for Health Research network. Population and modelling data were taken from published reports from the UK government and Medical Research Council Biostatistics Unit.

participants2082 consecutive admitted patients with laboratory-confirmed SARS-CoV-2 infection from 27 March 2020 were included.

main outcome measuresProportions enrolled, and reasons for exclusion from the aforementioned trials. Comparisons of trial recruitment targets with estimated feasible recruitment numbers.

resultsAnalysis of trial registration data for COVID-19 treatment studies enrolling in England showed that by 12 July 2020, 29 142 participants were needed. In the observational study, 430 (20.7%) proceeded to randomisation. 82 (3.9%) declined participation, 699 (33.6%) were excluded on clinical grounds, 363 (17.4%) were medically fit for discharge and 153 (7.3%) were receiving palliative care. With 111 037 people hospitalised with COVID-19 in England by 12 July 2020, we determine that 22 985 people were potentially suitable for trial enrolment. We estimate a UK hospitalisation rate of 2.38%, and that another 1.25 million infections would be required to meet recruitment targets of ongoing trials.

conclusionsFeasible recruitment rates, study design and proliferation of trials can limit the number, and size, that will successfully complete recruitment. We consider that fewer, more appropriately designed trials, prioritising cooperation between centres would maximise productivity in a further wave.

Indexed as

Biomedical ResearchCoronavirus InfectionsPandemicsPatient SelectionPneumonia, ViralRandomized Controlled Trials as TopicBetacoronavirusCOVID-19Eligibility DeterminationFemaleHealth Services AccessibilityHospitalizationHumansMaleMiddle AgedProspective Studiesclinical trialsCOVID-19infectious diseases

Identifiers

PMID33020111
PMCPMC7536634

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.