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Publish Rhino fda submission 2 (#85)
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* initial commit for rhino post

* Updated blog entry (FDA-Appsilon)

* Update rhino_submission_2.qmd

Adding Links

* Update rhino_submission_2.qmd

Embedded FDA-Pilot-App video into the text and created a button form to show the structure of the FDA-Pilot-App.

Changed publication date to 10-10-2023.

Corrected style.
Modified text accordingly.

* Update rhino_submission_2.qmd

I did a small amendment to the text.

* chore: links and rename folder to later date

* chore: fixing link and spell checker

* chore: link check

* chore: another link another day

---------

Co-authored-by: André Veríssimo <[email protected]>
Co-authored-by: Ross Farrugia <[email protected]>
Co-authored-by: Ben Straub <[email protected]>
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2 changes: 2 additions & 0 deletions .lycheeignore
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Expand Up @@ -6,3 +6,5 @@ https://cosa.cdisc.org/events/Admiral
///home/runner/work/blog/blog/posts/2023-06-28_welcome/pharmaverse.slack.com
https://pharmaverse.github.io/blog/posts/2023-06-27_hackathon_app/
https://cran.r-project.org/doc/FAQ/R-FAQ.html#Why-doesn_0027t-R-think-these-numbers-are-equal_003f
https://go.appsilon.com/demo-apps
https://doi.org/10.1177/17407745221123244
52 changes: 52 additions & 0 deletions inst/WORDLIST.txt
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Expand Up @@ -392,3 +392,55 @@ reproducibility
behaviour
Farrugia
ethz
adadas
adlbc
adsl
adtte
André
appsilon
Appsilon
APPSILON
bc
bs
btn
caa
cder
CDER
collapseExample
config
ctd
dcf
deliverables
doi
eCTD
ee
fac
favicon
fda
formatters
getwd
Golem
ico
js
json
kmplot
modles
modularization
modularize
pkglite
rconsortium
RConsortium
rhinosubmission
Rhinoverse
Rprofile
scalable
scss
Shinytest
TLFs
toolset
Vedha
Veríssimo
Viyash
webm
Xiao
Zhao
Binary file added posts/2023-08-14_rhino_submission_2/Rhino_LS.png
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78 changes: 78 additions & 0 deletions posts/2023-08-14_rhino_submission_2/appendix.R
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# markdown helpers --------------------------------------------------------

markdown_appendix <- function(name, content) {
paste(paste("##", name, "{.appendix}"), " ", content, sep = "\n")
}
markdown_link <- function(text, path) {
paste0("[", text, "](", path, ")")
}



# worker functions --------------------------------------------------------

insert_source <- function(repo_spec, name,
collection = "posts",
branch = "main",
host = "https://github.com",
text = "source code") {
path <- paste(
host,
repo_spec,
"tree",
branch,
collection,
name,
"blanks_and_na.qmd",
sep = "/"
)
return(markdown_link(text, path))
}

insert_timestamp <- function(tzone = Sys.timezone()) {
time <- lubridate::now(tzone = tzone)
stamp <- as.character(time, tz = tzone, usetz = TRUE)
return(stamp)
}

insert_lockfile <- function(repo_spec, name,
collection = "posts",
branch = "main",
host = "https://github.com",
text = "R environment") {
path <- paste(
host,
repo_spec,
"tree",
branch,
collection,
name,
"renv.lock",
sep = "/"
)
return(markdown_link(text, path))
}



# top level function ------------------------------------------------------

insert_appendix <- function(repo_spec, name, collection = "posts") {
appendices <- paste(
markdown_appendix(
name = "Last updated",
content = insert_timestamp()
),
" ",
markdown_appendix(
name = "Details",
content = paste(
insert_source(repo_spec, name, collection),
insert_lockfile(repo_spec, name, collection),
sep = ", "
)
),
sep = "\n"
)
knitr::asis_output(appendices)
}
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216 changes: 216 additions & 0 deletions posts/2023-08-14_rhino_submission_2/rhino_submission_2.qmd
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---
title: "Reproducing the R Submissions Pilot 2 Shiny Application using Rhino"
author:
- name: Ismael Rodriguez
- name: Vedha Viyash
- name: André Veríssimo
- name: APPSILON
description: "" # <---- please write a description
date: "2023-10-10"
# please do not use any non-default categories.
# You can find the default categories in the repository README.md
categories: [submission, community]
# feel free to change the image
image: "Rhino_LS.png"
---

<!--------------- typical setup ----------------->

```{r setup, include=FALSE}
long_slug <- "2023-08-14_rhino_submission_2"
# renv::use(lockfile = "renv.lock")
```

<!--------------- post begins here ----------------->

There is significant momentum in driving the adoption of R packages in the life sciences industries, in particular, the R Consortium Submissions Working Group is dedicated to promoting the use of R for regulatory submissions to the FDA.

The [R Consortium Submissions Working Group](https://rconsortium.github.io/submissions-wg/) successfully completed an R-based submission in November 2021 through the eCTD portal (R Submissions Pilot 1).
This Pilot was completed on [March 10, 2022](https://github.com/RConsortium/submissions-wg/blob/main/_Documents/Summary_R_Pilot_Submission2.pdf) after a successful statistical review and evaluation by the FDA staff.

Moving forward, the [Pilot 2](https://rconsortium.github.io/submissions-wg/pilot2.html) aimed to include a Shiny application that the FDA staff could deploy on their own servers.
The R Consortium recently announced that [on September 27, 2023](https://www.r-consortium.org/announcement/2023/10/05/shiny-app-successfully-reviewed-by-fda-cder-staff-pilot-2-announcement-2), the R Submissions Working Group successfully completed the follow-up to the Pilot 2 R Shiny-based submission and received a response letter from FDA CDER. This marks the first publicly available submission package that includes a Shiny component.
The full FDA response letter can be found [here](https://github.com/RConsortium/submissions-wg/blob/0f1dc5c30985d413f75d196c2b6caa96231b26ee/_Documents/Summary_R_Pilot2_Submission%2027SEP2023.pdf).

The Shiny application that was sent for the Pilot 2 had the goal to display the 4 Tables, Listings and Figures (TLFs) that were sent for the Pilot 1 with basic filtering functionality. 

The submission package adhered to the eCTD folder structure and contained 5 deliverables.
Among the deliverables was the proprietary R package {pilot2wrappers}, which enables the execution of the Shiny application. 

The FDA staff were expected to receive the electronic submission packages in the eCTD format, install and load open-source R packages used as dependencies in the included Shiny application, reconstruct and load the submitted Shiny application, and communicate potential improvements in writing. 

In the following stage, the R Consortium's R Submission Working Group launched Pilot 4, aiming to investigate innovative technologies like Linux containers and web assembly.
These technologies are being explored to package a Shiny application into a self-contained unit, streamlining the transfer and execution processes for the application.

In this post, our aim is to outline how we used the Rhino framework to reproduce the Shiny application that was successfully submitted to the FDA for the Pilot 2 project.
Additionally, we detail the challenges identified during the process and how we were able to successfully address them by using an open-source package.

## Reproducing the R Submission Pilot 2 Shiny App using Rhino

While the original Shiny application submitted to the FDA was wrapped using {Golem}, we replicated the application using our in-house developed framework [Rhino](https://appsilon.github.io/rhino/).
The main motivation was to provide an example of an R Submission that is not an R package and to identify and solve any issues that may arise from this approach.

Our demo application ([FDA-pilot-app](https://go.appsilon.com/fda-clinical-trial)) is accessible on our website, alongside other Shiny and Rhinoverse [demonstration apps](https://go.appsilon.com/demo-apps).

{{< video https://appsilon.com/static/35215a117d1bc17fac2179f059c3709f/rhino_fda_pilot_r_shiny_app_e-ctd.webm?_=6 >}}

The code for FDA-pilot-app is [open-source](https://go.appsilon.com/fda-app-github).
You can create your own Rhino-based application by following our [tutorial](https://go.appsilon.com/rhino-tutorial-github) and viewing our workshop, which is available on [YouTube](https://go.appsilon.com/rhino-workshop-youtube)

## Brief Introduction to Rhino

[![](images/Rhino%20image-01.png){width="145"}](https://appsilon.com/fda-clinical-trial-submissions-with-r-shiny-rhino/)

The [Rhino framework](https://appsilon.github.io/rhino/) was developed by Appsilon to create enterprise-level Shiny applications, consistently and efficiently.
This framework allows developers to apply the best software engineering practices, modularize code, test it thoroughly, enhance UI aesthetics, and monitor user adoption effectively.

Rhino provides support in 3 main areas:

1. **Clear Code**: scalable architecture, modularization based on Box and Shiny modules.

2. **Quality**: comprehensive testing such as unit tests, E2E tests with Cypress and Shinytest2, logging, monitoring and linting.

3. **Automation**: project startup, CI with GitHub Actions, dependencies management with {[renv](https://github.com/rstudio/renv)}, configuration management with config, Sass and JavaScript bundling with ES6 support via Node.js.

Rhino is an ideal fit for highly regulated environments such as regulatory submissions or other drug development processes.

### FDA-pilot-app structure

The structure of this application is available on the [github](https://github.com/Appsilon/rhino-fda-pilot) repository.
The structure of this Shiny app is the following.

<button class="btn btn-primary" type="button" data-bs-toggle="collapse" data-bs-target="#collapseExample" aria-expanded="false" aria-controls="collapseExample">

Click here to expand the FDA-pilot-app structure

</button>

``` {#collapseExample .collapse}
.
├── app
│ ├── view
│ │ └── demographic_table.R
| | └── km_plot.R
| | └── primary_table.R
| | └── efficacy_table.R
| | └── completion_table.R
│ ├── logic
│ │ └── adam_data.R
│ │ └── eff_modles.R
│ │ └── formatters.R
│ │ └── helpers.R
│ │ └── kmplot_helpers.R
│ │ └── Tplyr_helpers.R
│ ├── data
│ │ └── adam
│ │ └── adadas.xpt
│ │ └── adlbc.xpt
│ │ └── adsl.xpt
│ │ └── adtte.xpt
│ ├── docs
│ │ └── about.md
│ ├── js
│ │ └── index.js
│ ├── static
│ │ └── favicon.ico
│ ├── styles
│ │ └── main.scss
│ └── app.R
├── tests
│ ├── cypress
│ │ └── integration
│ │ └── app.spec.js
│ ├── testthat
│ │
│ └── cypress.json
├── app.R
├── rhino_submission.Rproj
├── dependencies.R
├── renv.lock
├── rhino.yml
└── README.md
```

## Efficient Submissions to the FDA

![](images/pkglite%20logo.png){fig-align="center" width="144"}

To comply with the [Electronic Submission File Formats and Specifications](https://www.fda.gov/files/medical%20devices/published/Tobacco-Electronic-Submission-File-Formats-and-Specifications.pdf) for the eCTD submission, the programming code should carry a ".txt" extension.
In the R Submissions Pilot 3 the group did not use {pkglite} as the FDA clarified that ".zip" and ".r" files are acceptable for submission.
In this case, we utilized the {[pkglite](https://github.com/Merck/pkglite)} R package to efficiently pack and unpack the FDA-pilot-app.
This approach would facilitate the FDA reviewers in setting up the submission on their systems.

This package allows packing R packages to ".txt" files, which are supported for the submission of proprietary packages to the FDA via the eCTD gateway. 

### Packing the FDA-pilot-app into a .txt file

The code below can be used to pack the Shiny application into a .txt file:

```{r, eval=FALSE}
app_name <- "rhinosubmission"
renv_spec <- pkglite::file_spec(
"renv",
pattern = "^settings\\.dcf$|^activate\\.R$",
format = "text", recursive = FALSE
)
tests_spec <- pkglite::file_tests()
app_spec <- pkglite::file_auto("app")
root_spec <- pkglite::file_spec(
path = ".",
pattern = "^\\.Rprofile$|^rhino\\.yml$|^renv\\.lock$|^dependencies\\.R$|^config\\.yml$|^app\\.R$|^README\\.md$|\\.Rproj$",
all_files = TRUE,
recursive = FALSE
)
write(paste0("Package: ", app_name), "DESCRIPTION", append = TRUE)
pkglite::collate(
getwd(),
renv_spec,
tests_spec,
app_spec,
root_spec
) |> pkglite::pack()
file.remove("DESCRIPTION")
```

### Unpacking the FDA-pilot-app

The packed ".txt" file can be unpacked into a Shiny app by using {pkglite} as follows:

```{r, eval=FALSE}
pkglite::unpack("rhinosubmission.txt")
```

## Lessons Learned

Our initial objective was to prove that it would be possible to submit a Shiny application using Rhino through the eCTD gateway.
During the rewriting process we identified that this could be done by integrating the open-source {pkglite} package.
By following this approach, we concluded that it would be possible to submit a Shiny application through the eCTD gateway.
This was also achieved through the successful submission of a package that included a Shiny component in Pilot 2.

Having rewritten the R Submissions Pilot 2 Shiny application using Rhino holds major implications for the adoption of our framework within the life sciences.
Apart from being a strong, opinionated framework that improves reproducibility and reliability for Shiny development, using Rhino for regulatory submissions could improve the flexibility and speed in the clinical reporting pipeline.
This would accelerate the adoption of R/Shiny for submissions to the FDA or other regulatory agencies. 

# Rhino for Life Sciences

Rhino, a powerful framework built on R and Shiny, facilitates the development of FDA-compliant applications in the life sciences.
With its comprehensive toolset, Rhino simplifies the development process by offering secure data management, audit trails, version control, and robust validation capabilities.
These features ensure that applications meet the rigorous requirements of regulatory agencies.

# References

Zhao, Y., Xiao, N., Anderson, K., & Zhang, Y.
(2023).
Electronic common technical document submission with analysis using R.
Clinical Trials, 20(1), 89\--92.
https://doi.org/10.1177/17407745221123244

<!--------------- appendices go here ----------------->

```{r, echo=FALSE}
source("appendix.R")
insert_appendix(
repo_spec = "pharmaverse/blog",
name = long_slug
)
```

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