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remove ebm-trials fig
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rando2 authored Sep 13, 2021
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Expand Up @@ -214,14 +214,6 @@ Additionally, the framework for evaluating literature was converted into issue t
Articles were classified as _diagnostic_, _therapeutic_, or _other_, with an associated template developed to guide the review of papers and preprints in each category.
A total of 273 new paper issues had been opened as of April 30, 2021.<!--To Do: automate-->

![
**Change in the COVID-19 clinical trials figure over time.**
When we first produced this figure on July 7, 2020, there were 3,733 clinical trials in the University of Oxford Evidence-Based Medicine Data Lab's COVID-19 TrialsTracker [@doi:10.5281/zenodo.3732709].
As of {{ebm_date_pretty}}, it contains {{ebm_all_trials}}.
We were also able to easily reconfigure the figure prior to journal submission to emphasize interventional trials based on the recommendation of a collaborator who is a clinician.
This figure is included in an analysis of pharmaceutical development efforts during COVID-19 [@individual-pharmaceuticals].
]((images/ebmdatalab-trials-original.png){{ebm_trials_figure}} "COVID-19 clinical trials"){#fig:ebm-trials secno=1}

The seven manuscripts produced by the consortium (outside of this one) will be submitted to _mSystems_ as part of a special issue that is providing support for evolving reviews so that they can continue to be updated as more information becomes available.
This approach allows for a version of record to be maintained alongside the most recent developments, which are always available through GitHub.
The first of these manuscripts was recently published [@individual-nutraceuticals].
Expand All @@ -239,7 +231,6 @@ Thus, the consortium was successful in providing a venue for researchers across
We integrated data into the manuscripts from several sources.
Data about worldwide cases and deaths came from the COVID-19 Data Repository by the Center for Systems Science and Engineering at Johns Hopkins University^[https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series].
Similarly, the clinical trials statistics and figure were generated based on data from the University of Oxford Evidence-Based Medicine Data Lab's COVID-19 TrialsTracker [@doi:10.5281/zenodo.3732709].
The evolution of this figure over time is shown in Figure @fig:ebm-trials.
Information about vaccine distribution was extracted from Our World In Data^[https://github.com/owid/covid-19-data] [@owidcoronavirus].
Figure 1 dynamically integrates data directly from the CORD-19 dataset [@arxiv:2004.10706].<!--To Do: Flow chart of data integration? We could have a summary figure showing all of the external data sources that are integrated into the manuscript. We have icons for MSSM reviews, JHU data, etc. at the top. That flows into a GitHub repo, which also takes input from all the contributors. Then the output of the repo is the manuscript and other CI artifacts.-->

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