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ORIGINAL RESEARCH

Worldwide Trends in Registering Real-World Studies at ClinicalTrials.gov: A Cross-Sectional Analysis

, , , , & ORCID Icon
Pages 1123-1136 | Received 23 Dec 2022, Accepted 22 Mar 2023, Published online: 27 Mar 2023

Figures & data

Figure 1 Study selection flow diagram.

Figure 1 Study selection flow diagram.

Table 1 General Characteristics of Real-World Registration Studies

Figure 2 Number of registered studies by condition. Only the top 20 conditions are shown.

Figure 2 Number of registered studies by condition. Only the top 20 conditions are shown.

Figure 3 Number of registered studies in China and the United States by condition. Only the top 10 conditions are shown.

Figure 3 Number of registered studies in China and the United States by condition. Only the top 10 conditions are shown.

Figure 4 Number of real-world registration studies in each area.

Figure 4 Number of real-world registration studies in each area.

Figure 5 Number of registered studies in the top 20 countries.

Figure 5 Number of registered studies in the top 20 countries.

Figure 6 Number of new studies registered at ClinialTrials.gov each year and by country.

Notes: The 2023 numbers might be low because the search was performed on February 28, 2023, rather than the reduction being a true representation of the data.
Figure 6 Number of new studies registered at ClinialTrials.gov each year and by country.

Figure 7 Sankey diagram from country to condition. The numbers after the country and condition names indicate the total number of outflow and inflow studies, respectively. For example, “China - 195” means that a total of 195 studies from China flowed to different condition nodes on the right side of the figure. Note that since the remaining nodes are filtered out, these numbers only represent the statistical association between the nodes displayed in the Sankey diagram.

Figure 7 Sankey diagram from country to condition. The numbers after the country and condition names indicate the total number of outflow and inflow studies, respectively. For example, “China - 195” means that a total of 195 studies from China flowed to different condition nodes on the right side of the figure. Note that since the remaining nodes are filtered out, these numbers only represent the statistical association between the nodes displayed in the Sankey diagram.

Figure 8 Sankey diagram from country to research center classification. Numerical research center variables are discretized into categorical variables with different intervals. The study centers were classified into five categories: “1”, “2~4”, “5~9”, “10~49”, and “≥50”. The category “≥50” is not displayed in the plot, as lines with node counts less than 10 are filtered out.

Figure 8 Sankey diagram from country to research center classification. Numerical research center variables are discretized into categorical variables with different intervals. The study centers were classified into five categories: “1”, “2~4”, “5~9”, “10~49”, and “≥50”. The category “≥50” is not displayed in the plot, as lines with node counts less than 10 are filtered out.