Carbon footprint of a sample of clinical trials for people with neurological disorders: cross-sectional analysis
Rattachement africain : gb. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
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.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Carbon footprint of a sample of clinical trials for people with neurological disorders: cross-sectional analysis
- Date Crossref
- 01/06/2025
- Éditeur
- BMJ
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Les institutions déclarées
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