Toggle Main Menu Toggle Search

Open Access padlockePrints

Carbon footprint of a sample of clinical trials for people with neurological disorders: cross-sectional analysis

Lookup NU author(s): Dr Sarah Dunn, Professor John-Paul TaylorORCiD

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© Author(s) (or their employer(s)) 2025.Objective To quantify the carbon footprint of a sample of clinical trials for neurological disorders. Design Cross-sectional study. Method Two clinical trial registries were searched on 29 December 2022 for phase 2-4 randomised controlled trials led from and recruiting in the UK, enrolling people with any of the 15 neurological disorders with the highest global burden, that had started recruitment or been registered in the preceding 5 years. Eligible trials were invited to share data to estimate emissions in each of the 10 modules of the Low Carbon Clinical Trials footprinting guidance. The primary outcome measure was kg of carbon dioxide equivalent (CO 2 e). Results 318 randomised controlled trials were found, nine were eligible and six shared data (three completed and three ongoing). The module with the highest estimated CO 2 e for each trial was the Clinical Trial Unit staff emissions (median 24 126 kg CO2e, IQR 10 395-78,867; range 45-79% of overall emissions of each trial); commuting accounted for >50% of CO 2 e in this module. The second and third highest modules were trial-specific participant assessments (median 11 497 kg CO2e, IQR 825-15,682) and trial supplies and equipment (median 1161 kg CO 2 e, IQR 226-6632). The total carbon footprint of these six trials involving 2248 participants at 239 sites was 2 63 215 kg CO 2 e. Conclusions Emissions by Clinical Trials Unit staff were the top modifiable carbon hotspot in six randomised controlled trials for people with neurological disorders, which had a total carbon footprint equivalent to 1364 passengers' return aeroplane journeys between London and Edinburgh.


Publication metadata

Author(s): Cranley D, Dunn S, Taylor J-P, Desborough MJR, Craig J, Sprigg N, Mccomish R, Foltynie T, Wardlaw J, Oatey K, Heye A, Bath P, Innes K, Dinsmore L, Griffiths J, Fox L, Williamson PR, Al-Shahi Salman R

Publication type: Article

Publication status: Published

Journal: BMJ Open

Year: 2025

Volume: 15

Issue: 6

Online publication date: 17/06/2025

Acceptance date: 27/05/2025

Date deposited: 10/07/2025

ISSN (print): 2044-6055

ISSN (electronic): 2044-6055

Publisher: BMJ Publishing Group

URL: https://doi.org/10.1136/bmjopen-2024-090419

DOI: 10.1136/bmjopen-2024-090419

Data Access Statement: All data relevant to the study are included in the article or uploaded as supplementary information

PubMed id: 40527573


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
British Heart Foundation
National Institute for Health Research
NIHR Health Technology Assessment Programme (UK)

Share