ArticleThe journal of climate change and health
Measuring the carbon footprint of Colchicine for Long COVID - a multicenter trial from India.
Article in The journal of climate change and health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
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Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Reducing greenhouse gas (GHG) emissions from human activities is essential to combat climate change. The healthcare sector contributes to global emissions, and clinical trials play a crucial role in informing evidence-based healthcare practices. Attempts have been made to quantify emissions resulting from clinical trials to help devise effective mitigation strategies. We report carbon emissions from a multicenter clinical trial conducted in both community and hospital settings in India. Methods: We audited the carbon emissions of a multicenter, placebo-controlled trial evaluating the efficacy of colchicine for Long COVID (CTRI/2021/11/038234) using the GHG Protocol Corporate Accounting and Reporting Standard and the Corporate Value Chain Standard. A three-step methodology was followed, including identification of relevant organisational stakeholders and setting the scope of the calculation, data collection by developing relevant study tools, and calculation of emissions using applicable emission factors. Results: The total emissions related to the trial were 12.38 tonnes of CO2 equivalents (CO2e) for the trial duration of three years. The top contributors to the emissions were the local commute of trial coordinators and research staff (71%, 8.73 tonnes CO2e), trial meetings (9%, 1.13 tonnes CO2e), patient investigations (10%, 1.27 tonnes CO2e) and the electricity consumption at the clinical trial unit (5%, 0.61 tonnes CO2e). Conclusion: The study demonstrated the feasibility of assessing the carbon footprint of a clinical trial conducted in India and provides a framework for future assessments and recommendations that can be considered during the planning and implementation of clinical trials.
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