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docs: Required variables in design docs #56

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95 changes: 94 additions & 1 deletion vignettes/design.Rmd
Original file line number Diff line number Diff line change
@@ -1,8 +1,10 @@
---
title: "Design"
output: rmarkdown::html_vignette
bibliography: references.bib
csl: vancouver.csl
vignette: >
%\VignetteIndexEntry{design}
%\VignetteIndexEntry{Design}
%\VignetteEngine{knitr::rmarkdown}
%\VignetteEncoding{UTF-8}
---
Expand All @@ -12,6 +14,7 @@ knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
library(dplyr)
```

## Principles
Expand All @@ -27,6 +30,9 @@ These are the guiding principles for this package:
is a data frame, the output is a data frame).
4. Functions have consistent naming based on their action.
5. Functions have limited additional arguments.
6. Casing of input variables (upper or lower case) is agnostic, all
internal variables are lower case, and output variables are lower
case.

## Use cases

Expand Down Expand Up @@ -72,3 +78,90 @@ This is the list of functionality we aim to have in the osdc package
5. Provide a common and easily accessible standard for determining
diabetes status within the context of research using Danish
registers.

## Classifier algorithm

A more complete description of the classifier is found in Anders Aasted
Isaksen's [PhD Thesis](https://aastedet.github.io/dissertation/) as well
as the validation paper [@Isaksen2023]. The description below is a brief
and concise version of those documents.

The algorithm for classifying individuals with diabetes is described
below. The overall output of this algorithm is first to classify those
with diabetes, then to further classify and check if the individuals
might have type 1 diabetes, otherwise classify as type 2 diabetes.

Initial **diabetes** classification is defined as the second occurrence
of any of the listed inclusion events. Wherever possible, all available
data for each event is used, except for the purchases of
glucose-lowering drugs, since data is only available from 1997 onwards.
Inclusion criteria are:

1. HbA1c measurement of ≥48 mmol/mol.
2. Hospital diagnosis of diabetes.
3. Diabetes-specific services received at podiatrist.
4. Purchase of glucose-lowering drugs.

Exclusions are:

1. HbA1c:
- Taken during pregnancies, as that could be a potential
gestational diabetes mellitus.
2. Drugs:
- Brand drugs for weight loss, e.g. *Saxenda.*.
- Purchases during pregnancies, as that is a potential treatment
for gestational diabetes mellitus.
- Metformin for women below age 40, as that could be a treatment
for polycystic ovary syndrome.

### Classifying type 2 diabetes

The inclusion criteria after being classified with non-specific diabetes
are any of:

- Any purchases of non-insulin glucose-lowering drugs.
- A hospital diagnosis of type 2 diabetes as the most recent
type-specific diabetes diagnosis.

The exclusion criteria are:

- Women that have purchased only metformin and have any diagnoses of
polycystic ovarian syndrome or have purchases of clomifene or
combination drugs containing antiandrogens and oestrogens.
- Only one recorded inclusion event.
- No recorded inclusion events in the last 10 years prior to the most
recent date available for the individual (index date).

### Classifying type 1 diabetes

The inclusion criteria after being classified with non-specific diabetes
are any of:

- Any purchases of insulin drugs.
- A hospital diagnosis of type 1 diabetes as the most recent
type-specific diabetes diagnosis.

The exclusion criteria are:

- Women with any diagnoses of gestational diabetes mellitus, who have
purchased glucose-lowering drugs only in the period from 280 days
prior to their first diagnosis of gestational diabetes mellitus
until 280 days after their last diagnosis.
- No purchases of glucose-lowering drugs or only one purchase and no
hospital records of type 1 diabetes.
- No insulin drug purchases in the last 10 years prior to the index
date.

## Data required from registers

The following is a list of the variables required from specific
registers in order for the package to classify diabetes status:

```{r, echo=FALSE}
variable_description |>
mutate(Register = paste0(register_name, "(", register_abbrev, ")")) |>
select(Register, Variable = variable_name) |>
knitr::kable()
```

## References
14 changes: 14 additions & 0 deletions vignettes/references.bib
Original file line number Diff line number Diff line change
@@ -0,0 +1,14 @@
@Article{Isaksen2023,
author = {Isaksen, Anders Aasted and Sandbæk, Annelli and Bjerg, Lasse},
journal = {Clinical Epidemiology},
title = {Validation of Register-Based Diabetes Classifiers in Danish Data},
year = {2023},
issn = {1179-1349},
month = may,
pages = {569--581},
volume = {Volume 15},
doi = {10.2147/clep.s407019},
publisher = {Informa UK Limited},
}

@Comment{jabref-meta: databaseType:bibtex;}
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