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Data flow within global clinical trials: a scoping review

OBJECTIVE: To document clinical trial data flow in global clinical trials published in major journals between 2013 and 2021 from Global South to Global North. DESIGN: Scoping analysis METHODS: We performed a search in Cochrane Central Register of Controlled Trials (CENTRAL) to retrieve randomised cl...

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Autores principales: Kwok, Kaitlyn, Sati, Neha, Dron, Louis, Murthy, Srinivas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003606/
https://www.ncbi.nlm.nih.gov/pubmed/35410953
http://dx.doi.org/10.1136/bmjgh-2021-008128
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author Kwok, Kaitlyn
Sati, Neha
Dron, Louis
Murthy, Srinivas
author_facet Kwok, Kaitlyn
Sati, Neha
Dron, Louis
Murthy, Srinivas
author_sort Kwok, Kaitlyn
collection PubMed
description OBJECTIVE: To document clinical trial data flow in global clinical trials published in major journals between 2013 and 2021 from Global South to Global North. DESIGN: Scoping analysis METHODS: We performed a search in Cochrane Central Register of Controlled Trials (CENTRAL) to retrieve randomised clinical trials published between 2013 and 2021 from The BMJ, BMJ Global Health, the Journal of the American Medical Association, the Lancet, Lancet Global Health and the New England Journal of Medicine. Studies were included if they involved recruitment and author affiliation across different country income groupings using World Bank definitions. The direction of data flow was extracted with a data collection tool using sites of trial recruitment as the starting point and the location of authors conducting statistical analysis as the ending point. RESULTS: Of 1993 records initially retrieved, 517 studies underwent abstract screening, 348 studies underwent full-text screening and 305 studies were included. Funders from high-income countries were the sole funders of the majority (82%) of clinical trials that recruited across income groupings. In 224 (73.4%) of all assessable studies, data flowed exclusively to authors affiliated with high-income countries or to a majority of authors affiliated with high-income countries for statistical analysis. Only six (3.2%) studies demonstrated data flow to lower middle-income countries and upper middle-income countries for analysis, with only one with data flow to a lower middle-income country. CONCLUSIONS: Global clinical trial data flow demonstrates a Global South to Global North trajectory. Policies should be re-examined to assess how data sharing across country income groupings can move towards a more equitable model.
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spelling pubmed-90036062022-04-27 Data flow within global clinical trials: a scoping review Kwok, Kaitlyn Sati, Neha Dron, Louis Murthy, Srinivas BMJ Glob Health Original Research OBJECTIVE: To document clinical trial data flow in global clinical trials published in major journals between 2013 and 2021 from Global South to Global North. DESIGN: Scoping analysis METHODS: We performed a search in Cochrane Central Register of Controlled Trials (CENTRAL) to retrieve randomised clinical trials published between 2013 and 2021 from The BMJ, BMJ Global Health, the Journal of the American Medical Association, the Lancet, Lancet Global Health and the New England Journal of Medicine. Studies were included if they involved recruitment and author affiliation across different country income groupings using World Bank definitions. The direction of data flow was extracted with a data collection tool using sites of trial recruitment as the starting point and the location of authors conducting statistical analysis as the ending point. RESULTS: Of 1993 records initially retrieved, 517 studies underwent abstract screening, 348 studies underwent full-text screening and 305 studies were included. Funders from high-income countries were the sole funders of the majority (82%) of clinical trials that recruited across income groupings. In 224 (73.4%) of all assessable studies, data flowed exclusively to authors affiliated with high-income countries or to a majority of authors affiliated with high-income countries for statistical analysis. Only six (3.2%) studies demonstrated data flow to lower middle-income countries and upper middle-income countries for analysis, with only one with data flow to a lower middle-income country. CONCLUSIONS: Global clinical trial data flow demonstrates a Global South to Global North trajectory. Policies should be re-examined to assess how data sharing across country income groupings can move towards a more equitable model. BMJ Publishing Group 2022-04-10 /pmc/articles/PMC9003606/ /pubmed/35410953 http://dx.doi.org/10.1136/bmjgh-2021-008128 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Kwok, Kaitlyn
Sati, Neha
Dron, Louis
Murthy, Srinivas
Data flow within global clinical trials: a scoping review
title Data flow within global clinical trials: a scoping review
title_full Data flow within global clinical trials: a scoping review
title_fullStr Data flow within global clinical trials: a scoping review
title_full_unstemmed Data flow within global clinical trials: a scoping review
title_short Data flow within global clinical trials: a scoping review
title_sort data flow within global clinical trials: a scoping review
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003606/
https://www.ncbi.nlm.nih.gov/pubmed/35410953
http://dx.doi.org/10.1136/bmjgh-2021-008128
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