diff --git a/DESCRIPTION b/DESCRIPTION
index 65345b2e67..d8f5cca3b6 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Type: Package
 Package: admiral
 Title: ADaM in R Asset Library
-Version: 1.2.0.9005
+Version: 1.2.0.9006
 Authors@R: c(
     person("Ben", "Straub", , "ben.x.straub@gsk.com", role = c("aut", "cre")),
     person("Stefan", "Bundfuss", role = "aut",
diff --git a/NEWS.md b/NEWS.md
index 2cdf5cd8f6..fe5e14d22a 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -4,6 +4,7 @@
 
 ## Updates of Existing Functions
 
+- The function `extract_duplicate_records()` was updated to consider all variables in the input dataset for the by group if the `by_vars` argument is omitted entirely. (#2644)
 - In `slice_derivation`, previously the derivation is not called for empty subsets, however this can lead to issues when the input dataset is empty. Now the derivation is called for all subsets.
 
 ## Breaking Changes
diff --git a/R/duplicates.R b/R/duplicates.R
index d6c42a221f..5bc384285c 100644
--- a/R/duplicates.R
+++ b/R/duplicates.R
@@ -39,6 +39,11 @@ get_duplicates_dataset <- function() {
 #' @param by_vars Grouping variables
 #'
 #'  Defines groups of records in which to look for duplicates.
+#'  If omitted, all variables in the input dataset are used in the by group.
+#'
+#'  **Note:**  Omitting `by_vars` will increase the function's run-time, so it is
+#'  recommended to specify the necessary grouping variables for large datasets
+#'  whenever possible.
 #'
 #' `r roxygen_param_by_vars()`
 #'
@@ -55,9 +60,14 @@ get_duplicates_dataset <- function() {
 #' adsl <- rbind(admiral_adsl[1L, ], admiral_adsl)
 #'
 #' extract_duplicate_records(adsl, exprs(USUBJID))
-extract_duplicate_records <- function(dataset, by_vars) {
-  assert_expr_list(by_vars)
-  assert_data_frame(dataset, required_vars = extract_vars(by_vars), check_is_grouped = FALSE)
+extract_duplicate_records <- function(dataset, by_vars = NULL) {
+  if (is.null(by_vars)) {
+    assert_data_frame(dataset, check_is_grouped = FALSE)
+    by_vars <- exprs(!!!parse_exprs(names(dataset)))
+  } else {
+    assert_expr_list(by_vars)
+    assert_data_frame(dataset, required_vars = extract_vars(by_vars), check_is_grouped = FALSE)
+  }
 
   data_by <- dataset %>%
     ungroup() %>%
diff --git a/man/extract_duplicate_records.Rd b/man/extract_duplicate_records.Rd
index 816990253c..abec0f3ce1 100644
--- a/man/extract_duplicate_records.Rd
+++ b/man/extract_duplicate_records.Rd
@@ -4,7 +4,7 @@
 \alias{extract_duplicate_records}
 \title{Extract Duplicate Records}
 \usage{
-extract_duplicate_records(dataset, by_vars)
+extract_duplicate_records(dataset, by_vars = NULL)
 }
 \arguments{
 \item{dataset}{Input dataset
@@ -14,6 +14,11 @@ The variables specified by the \code{by_vars} argument are expected to be in the
 \item{by_vars}{Grouping variables
 
 Defines groups of records in which to look for duplicates.
+If omitted, all variables in the input dataset are used in the by group.
+
+\strong{Note:}  Omitting \code{by_vars} will increase the function's run-time, so it is
+recommended to specify the necessary grouping variables for large datasets
+whenever possible.
 
 \emph{Permitted Values}: list of variables created by \code{exprs()}
 e.g. \code{exprs(USUBJID, VISIT)}}
diff --git a/tests/testthat/_snaps/duplicates.md b/tests/testthat/_snaps/duplicates.md
index 47c9371b14..04bb4d6c63 100644
--- a/tests/testthat/_snaps/duplicates.md
+++ b/tests/testthat/_snaps/duplicates.md
@@ -1,4 +1,4 @@
-# signal_duplicate_records Test 2: dataset of duplicate records can be accessed using `get_duplicates_dataset()`
+# signal_duplicate_records Test 3: dataset of duplicate records can be accessed using `get_duplicates_dataset()`
 
     Code
       get_duplicates_dataset()
diff --git a/tests/testthat/test-duplicates.R b/tests/testthat/test-duplicates.R
index d8715d08cb..1c4d191251 100644
--- a/tests/testthat/test-duplicates.R
+++ b/tests/testthat/test-duplicates.R
@@ -18,9 +18,29 @@ test_that("extract_duplicate_records Test 1: duplicate records are extracted", {
   )
 })
 
+## Test 2: duplicate records for all variables ----
+test_that("extract_duplicate_records Test 2: duplicate records for all variables", {
+  input <- tibble::tribble(
+    ~USUBJID, ~COUNTRY, ~AAGE,
+    "P01",    "GER",    22,
+    "P01",    "JPN",    34,
+    "P02",    "CZE",    41,
+    "P03",    "AUS",    39,
+    "P04",    "BRA",    21,
+    "P04",    "BRA",    21
+  )
+  expected_ouput <- input[c(5:6), ]
+
+  expect_equal(
+    expected_ouput,
+    extract_duplicate_records(input)
+  )
+})
+
+
 # signal_duplicate_records ----
-## Test 2: dataset of duplicate records can be accessed using `get_duplicates_dataset()` ----
-test_that("signal_duplicate_records Test 2: dataset of duplicate records can be accessed using `get_duplicates_dataset()`", { # nolint
+## Test 3: dataset of duplicate records can be accessed using `get_duplicates_dataset()` ----
+test_that("signal_duplicate_records Test 3: dataset of duplicate records can be accessed using `get_duplicates_dataset()`", { # nolint
   input <- tibble::tribble(
     ~USUBJID, ~COUNTRY, ~AAGE,
     "P01",    "GER",    22,