IntoValue - Institutions’ contribution to increasing value and reducing waste

Clinical trial dissemination rates of all German university medical centers


The following Shiny app accompanies the publication 'Benchmarking university medical centres for responsible metrics. A cross sectional study on timely results dissemination across 36 German centres' on the clinical trial dissemination rates of all German university medical centers and allows to further explore the results. It allows to interactively choose different subsets of the data and allows for different ways of counting timely publication. The results can be displayed both as diagram or in a table (see navigation bar at the top). Additionally, a Kaplan-Meier curve for the percentage of unpublished studies over time can be displayed for different subgroups of the data as well as different stratifying variables. The dataset, analysis code, as well as detailed methods can be found on the OSF project page.

What counts as timely publication?

There are different ways to define what a timely publication is. First, study results can either be posted as summary results on the registry or published in a peer-reviewed journal. Second, there are different dates on which a study could be considered completed: either the primary completion date (when all data for the primary endpoints were collected) or the completion date (last patient last visit). Third, there are different recommendations on how long it should take to make study results available. Note: when different periods are choosen in the "Published within how many month"-box, only those trials are considered that we were able to track for this period (e.g. 60 month since the completion date). Only exception is the category "Any duration (any follow-up period)", where all trials are considered.

Different subgroups

There are many choices on which group of clinical trials to consider. All of these choices alter the results for the final publication rates. Only the trials in our dataset that match the set filter criteria are considered for the calculation of the timely reporting percentage.

This Shiny app is hosted by

IntoValue - Institutions’ contribution to increasing value and reducing waste

Clinical trial dissemination rates of all German university medical centers


The following Shiny app accompanies the publication 'Benchmarking university medical centres for responsible metrics. A cross sectional study on timely results dissemination across 36 German centres' on the clinical trial dissemination rates of all German university medical centers and allows to further explore the results. It allows to interactively choose different subsets of the data and allows for different ways of counting timely publication. The results can be displayed both as diagram or in a table (see navigation bar at the top). Additionally, a Kaplan-Meier curve for the percentage of unpublished studies over time can be displayed for different subgroups of the data as well as different stratifying variables. The dataset, analysis code, as well as detailed methods can be found on the OSF project page.

Prospective registration

This graph shows the percentage of trials with timely registration. The underlying data set consists of all trials registered on ClinicalTrials.gov between 2006 and 2018 that have one of the German university medical centres in the lead. Registration is is considered timely if the registration date on the registry is not more than 60 days after the given study start. As on ClinicalTrials.gov only the month is given for the study start date, but an exact date for the registration date, we allow for a more relaxed definition of timely registration. We count all trials where the given start date (counted as the first of the month) is not more than 60 days after the registration date as timely registered.

Different subgroups

There are many choices on which group of clinical trials to consider. All of these choices alter the results for the final publication rates.

This Shiny app is hosted by

IntoValue - Institutions’ contribution to increasing value and reducing waste

Clinical trial dissemination rates of all German university medical centers


The following Shiny app accompanies the publication 'Benchmarking university medical centres for responsible metrics. A cross sectional study on timely results dissemination across 36 German centres' on the clinical trial dissemination rates of all German university medical centers and allows to further explore the results. It allows to interactively choose different subsets of the data and allows for different ways of counting timely publication. The results can be displayed both as diagram or in a table (see navigation bar at the top). Additionally, a Kaplan-Meier curve for the percentage of unpublished studies over time can be displayed for different subgroups of the data as well as different stratifying variables. The dataset, analysis code, as well as detailed methods can be found on the OSF project page.

What counts as timely publication?

There are different ways to define what a timely publication is. First, study results can either be posted as summary results on the registry or published in a peer-reviewed journal. Second, there are different dates on which a study could be considered completed: either the primary completion date (when all data for the primary endpoints were collected) or the completion date (last patient last visit). Third, there are different recommendations on how long it should take to make study results available. Note: when different periods are choosen in the "Published within how many month"-box, only those trials are considered that we were able to track for this period (e.g. 60 month since the completion date). Only exception is the category "Any duration (any follow-up period)", where all trials are considered.

Different subgroups

There are many choices on which group of clinical trials to consider. All of these choices alter the results for the final publication rates. Only the trials in our dataset that match the set filter criteria are considered for the calculation of the timely reporting percentage.

This Shiny app is hosted by

IntoValue - Institutions’ contribution to increasing value and reducing waste

Clinical trial dissemination rates of all German university medical centers


The following Shiny app accompanies the publication 'Benchmarking university medical centres for responsible metrics. A cross sectional study on timely results dissemination across 36 German centres' on the clinical trial dissemination rates of all German university medical centers and allows to further explore the results. It allows to interactively choose different subsets of the data and allows for different ways of counting timely publication. The results can be displayed both as diagram or in a table (see navigation bar at the top). Additionally, a Kaplan-Meier curve for the percentage of unpublished studies over time can be displayed for different subgroups of the data as well as different stratifying variables. The dataset, analysis code, as well as detailed methods can be found on the OSF project page.

General settings

These options control the subgroups of the dataset which are used to calculate the Kaplan-Meier curve. The Kaplan-Meier curve takes into account that some trials only have a limited follow-up period that differs between trials (right-censored events). Each study is only used to estimate the Kaplan-Meier curve until the end of its follow-up period. The remainder of the curve is then estimated with the remaining studies with longer follow-up periods.

Stratifying variable

Changes the stratifying variable for the Kaplan-Meier plot.

This Shiny app is hosted by