Package 'admiralophtha'

Title: ADaM in R Asset Library - Ophthalmology
Description: Aids the programming of Clinical Data Standards Interchange Consortium (CDISC) compliant Ophthalmology Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>).
Authors: Edoardo Mancini [aut, cre] , Ritika Aggarwal [aut], Jane Gao [aut], William Holmes [aut], Josie Jackson [aut], Sonali Jain [aut], Yuki Matsunaga [aut], Gordon Miller [aut], Rachel Linacre [aut], Lucy Palmen [aut], Nandini R Thampi [aut], Aldrich Salva [aut], Steven Ting [aut]
Maintainer: Edoardo Mancini <[email protected]>
License: Apache License (>= 2)
Version: 1.1.0.9008
Built: 2024-11-19 14:23:28 UTC
Source: https://github.com/pharmaverse/admiralophtha

Help Index

Best Corrected Visual Acuity Analysis Dataset

Description

An example Best Corrected Visual Acuity (BCVA) analysis dataset

Usage

admiralophtha_adbcva

Format

An object of class tbl_df (inherits from tbl, data.frame) with 7672 rows and 116 columns.

Source

Derived from the OE and ADSL datasets using {admiral}, {admiralophtha} and (https://github.com/pharmaverse/admiralophtha/blob/main/inst/templates/ad_adbcva.R)

See Also

Other datasets: admiralophtha_adoe, admiralophtha_advfq

Ophthalmology Exam Analysis Dataset

Description

An example Ophthalmology Exam Analysis dataset

Usage

admiralophtha_adoe

Format

An object of class tbl_df (inherits from tbl, data.frame) with 7672 rows and 98 columns.

Source

Derived from the OE and ADSL datasets using {admiral}, {admiralophtha} and (https://github.com/pharmaverse/admiralophtha/blob/main/inst/templates/ad_adoe.R)

See Also

Other datasets: admiralophtha_adbcva, admiralophtha_advfq

Visual Function Questionnaire Analysis Dataset

Description

An example Visual Function Questionnaire (VFQ) analysis dataset

Usage

admiralophtha_advfq

Format

An object of class tbl_df (inherits from tbl, data.frame) with 28798 rows and 41 columns.

Source

Derived from the ADSL and QS datasets using {admiral}, {admiralophtha} and (https://github.com/pharmaverse/admiralophtha/blob/main/inst/templates/ad_advfq.R)

See Also

Other datasets: admiralophtha_adbcva, admiralophtha_adoe

ETDRS –> LogMAR conversion

Description

Convert ETDRS score to LogMAR units

Usage

convert_etdrs_to_logmar(value)

Arguments

value

object containing ETDRS score to convert to logMAR

Details

ETDRS value converted to logMAR as logMAR = -0.02 * ETDRS + 1.7

Source for conversion formula: Beck, R.W., et al. A computerized method of visual acuity testing. American Journal of Ophthalmology, 135(2), pp.194-205. doi:https://doi.org/10.1016/s0002-9394(02)01825-1.

Value

The input value converted converted to logMAR units

Author(s)

Rachel Linacre

Examples

library(tibble)
library(dplyr)
library(admiral)
library(admiraldev)

adbcva <- tribble(
  ~STUDYID, ~USUBJID, ~AVAL,
  "XXX001", "P01", 5,
  "XXX001", "P02", 10,
  "XXX001", "P03", 15,
  "XXX001", "P04", 20,
  "XXX001", "P05", 25
)

adbcva <- adbcva %>% mutate(AVAL = convert_etdrs_to_logmar(AVAL))

LogMAR –> ETDRS conversion

Description

Convert LogMAR score to ETDRS units

Usage

convert_logmar_to_etdrs(value)

Arguments

value

object containing logMAR score to convert to ETDRS

Details

logMAR value converted to ETDRS as ETDRS = -(logMAR - 1.7) / 0.02

Source for conversion formula: Beck, R.W., et al. A computerized method of visual acuity testing. American Journal of Ophthalmology, 135(2), pp.194-205. doi:https://doi.org/10.1016/s0002-9394(02)01825-1.

Value

The input value converted to ETDRS units

Author(s)

Nandini R Thampi

Examples

library(tibble)
library(dplyr)
library(admiral)

oe <- tribble(
  ~STUDYID, ~USUBJID, ~OETESTCD, ~OEMETHOD, ~OESTRESN,
  "XXX001", "P01", "VACSCORE", "logMAR EYE CHART", 1.08,
  "XXX001", "P02", "VACSCORE", "logMAR EYE CHART", 1.66,
  "XXX001", "P03", "VACSCORE", "logMAR EYE CHART", 1.60,
  "XXX001", "P04", "VACSCORE", "ETDRS EYE CHART", 57,
  "XXX001", "P05", "VACSCORE", "ETDRS EYE CHART", 1
)

adbcva <- oe %>%
  filter(OETESTCD == "VACSCORE" & toupper(OEMETHOD) == "LOGMAR EYE CHART") %>%
  mutate(OESTRESN = convert_logmar_to_etdrs(OESTRESN))

Derive Affected Eye

Description

Derive Affected Eye (AFEYE) in occurrence datasets

Usage

derive_var_afeye(dataset, loc_var, lat_var, loc_vals = "EYE")

Arguments

dataset

Input dataset

[Deprecated] Please use dataset instead.
loc_var

Location variable
lat_var

Laterality variable
loc_vals

xxLOC values for which AFEYE is derived

[Deprecated] Please simply ensure xxLAT values are contained in c("LEFT", "RIGHT", "BILATERAL").

Details

Affected Eye is derived in the occurrence dataset using laterality and Study Eye. This assumes Study Eye has already been added from ADSL.

Value

The input occurrence dataset with Affected Eye (AFEYE) added.

Author(s)

Lucy Palmen

Examples

library(tibble)
library(admiral)

adae1 <- tribble(
  ~STUDYID, ~USUBJID, ~STUDYEYE, ~AELOC, ~AELAT,
  "XXX001", "P01", "RIGHT", "EYE", "RIGHT",
  "XXX001", "P01", "RIGHT", "EYE", "LEFT",
  "XXX001", "P01", "RIGHT", "EYE", "",
  "XXX001", "P01", "RIGHT", "", "RIGHT",
  "XXX001", "P02", "LEFT", "", "",
  "XXX001", "P02", "LEFT", "EYE", "LEFT",
  "XXX001", "P04", "BILATERAL", "EYE", "RIGHT",
  "XXX001", "P05", "RIGHT", "EYE", "RIGHT",
  "XXX001", "P05", "RIGHT", "EYE", "BILATERAL",
  "XXX001", "P06", "BILATERAL", "", "",
  "XXX001", "P06", "BILATERAL", "", "RIGHT",
  "XXX001", "P07", "BILATERAL", "EYE", "BILATERAL",
  "XXX001", "P08", "", "EYE", "BILATERAL",
  "XXX001", "P09", "NONSENSE", "EYE", "BILATERAL",
  "XXX001", "P09", "BILATERAL", "EYE", "NONSENSE",
  "XXX001", "P09", "BILATERAL", "NONSENSE", "BILATERAL",
  "XXX001", "P10", "RIGHT", "EYE", "BOTH"
)

derive_var_afeye(adae1, loc_var = AELOC, lat_var = AELAT)

adae2 <- tribble(
  ~STUDYID, ~USUBJID, ~STUDYEYE, ~AELOC, ~AELAT,
  "XXX001", "P01", "RIGHT", "EYES", "RIGHT",
  "XXX001", "P02", "RIGHT", "RETINA", "LEFT",
  "XXX001", "P03", "LEFT", "", ""
)

derive_var_afeye(adae2, loc_var = AELOC, lat_var = AELAT, loc_vals = c("EYES", "RETINA"))

Adds CRITx/CRITxFL pairs to BCVA dataset

Description

Adds a criterion variables CRITx and their corresponding flags CRITxFL to a dataset containing BCVA records

Usage

derive_var_bcvacritxfl(
  dataset,
  crit_var,
  bcva_ranges = NULL,
  bcva_uplims = NULL,
  bcva_lowlims = NULL,
  additional_text = "",
  critxfl_index = NULL
)

Arguments

dataset

Input dataset containing BCVA data (usually ADBCVA).
crit_var

Variable with respect to which CRITx/CRITxFL are derived (usually CHG or AVAL).
bcva_ranges

List containing one or more numeric vectors of length 2. For each vector c(a,b) in bcva_ranges, a pair of variables CRITx, CRITxFL is created with the condition: ⁠a <= crit_var <= b⁠. If criterion flags of that type are not required, then leave as NULL.
bcva_uplims

List containing one or more numeric elements. For each element a in bcva_uplims, a pair of variables CRITx, CRITxFL is created with the condition: crit_var <= a. If criterion flags of that type are not required, then leave as NULL.
bcva_lowlims

List containing one or more numeric elements. For each element b in bcva_lowlims, a pair of variables CRITx, CRITxFL is created with the condition: crit_var >= b. If criterion flags of that type are not required, then leave as NULL.
additional_text

string containing additional text to append to CRITx
critxfl_index

positive integer detailing the first value of x to use in CRITxFL. If not supplied, the function takes the first available value of x, counting up from x = 1.

Details

This function works by calling derive_var_bcvacritxfl() once for each of the elements in bcva_ranges, bcva_uplims and bcva_lowlims. NOTE: if crit_var is equal to NA, then the resulting criterion flag is also marked as NA.

Value

The input BCVA dataset with additional column pairsCRITx, CRITxFL.

Author(s)

Edoardo Mancini

Examples

library(tibble)
library(admiral)
library(admiraldev)

adbcva1 <- tribble(
  ~STUDYID, ~USUBJID, ~AVISIT, ~BASETYPE, ~PARAMCD, ~CHG,
  "XXX001", "P01", "BASELINE", "LAST", "SBCVA", 0,
  "XXX001", "P01", "WEEK 2", "LAST", "FBCVA", 2,
  "XXX001", "P02", "BASELINE", "LAST", "SBCVA", -13,
  "XXX001", "P02", "WEEK 2", "LAST", "FBCVA", 5,
  "XXX001", "P03", "BASELINE", "LAST", "SBCVA", NA,
  "XXX001", "P03", "WEEK 2", "LAST", "FBCVA", 17
)

derive_var_bcvacritxfl(
  dataset = adbcva1,
  crit_var = exprs(CHG),
  bcva_ranges = list(c(0, 5), c(-5, -1), c(10, 15)),
  bcva_uplims = list(5, 10),
  bcva_lowlims = list(8),
  additional_text = ""
)

adbcva2 <- tribble(
  ~STUDYID, ~USUBJID, ~AVISIT, ~BASETYPE, ~PARAMCD, ~AVAL, ~CHG,
  "XXX001", "P01", "BASELINE", "LAST", "SBCVA", 4, NA,
  "XXX001", "P01", "BASELINE", "LAST", "SBCVA", 6, NA,
  "XXX001", "P01", "AVERAGE BASELINE", "AVERAGE", "SBCVA", 5, NA,
  "XXX001", "P01", "WEEK 2", "LAST", "SBCVA", -3, NA,
  "XXX001", "P01", "WEEK 4", "LAST", "SBCVA", -10, NA,
  "XXX001", "P01", "WEEK 6", "LAST", "SBCVA", 12, NA,
  "XXX001", "P01", "WEEK 2", "AVERAGE", "SBCVA", -2, -7,
  "XXX001", "P01", "WEEK 4", "AVERAGE", "SBCVA", 6, 1,
  "XXX001", "P01", "WEEK 6", "AVERAGE", "SBCVA", 3, -2
)

restrict_derivation(
  adbcva2,
  derivation = derive_var_bcvacritxfl,
  args = params(
    crit_var = exprs(CHG),
    bcva_ranges = list(c(0, 5), c(-10, 0)),
    bcva_lowlims = list(5),
    additional_text = " (AVERAGE)"
  ),
  filter = PARAMCD %in% c("SBCVA", "FBCVA") & BASETYPE == "AVERAGE"
)

Derive Study Eye

Description

Derive Study Eye (STUDYEYE) in the ADSL dataset

Usage

derive_var_studyeye(dataset_adsl, dataset_sc, sctestcd_value = "FOCID")

Arguments

dataset_adsl

ADSL input dataset
dataset_sc

SC input dataset
sctestcd_value

SCTESTCD value flagging Study Eye selection records. Default: "FOCID".

Details

Study Eye is derived in ADSL using the "Study Eye selection" records in the SC SDTM dataset.

Value

The input ADSL dataset with an additional column named STUDYEYE

Author(s)

Edoardo Mancini

Examples

library(tibble)
library(admiral)

adsl <- tribble(
  ~STUDYID, ~USUBJID,
  "XXX001", "P01",
  "XXX001", "P02",
  "XXX001", "P03",
  "XXX001", "P04",
  "XXX001", "P05"
)

sc <- tribble(
  ~STUDYID, ~USUBJID, ~SCTESTCD, ~SCSTRESC,
  "XXX001", "P01", "FOCID", "OS",
  "XXX001", "P01", "ACOHORT", "COHORT1",
  "XXX001", "P02", "FOCID", "OD",
  "XXX001", "P02", "ACOHORT", "COHORT3",
  "XXX001", "P04", "FOCID", "OU",
  "XXX001", "P05", "FOCID", "OD",
  "XXX001", "P06", "FOCID", "OS"
)

derive_var_studyeye(adsl, sc)