diff --git a/stdlib/SuiteSparse/src/cholmod.jl b/stdlib/SuiteSparse/src/cholmod.jl
index fc7419e3e3296..d68e5840860bd 100644
--- a/stdlib/SuiteSparse/src/cholmod.jl
+++ b/stdlib/SuiteSparse/src/cholmod.jl
@@ -1713,8 +1713,7 @@ end
 
 (\)(L::Factor, B::Sparse) = spsolve(CHOLMOD_A, L, B)
 # When right hand side is sparse, we have to ensure that the rhs is not marked as symmetric.
-(\)(L::Factor, B::SparseMatrixCSC) = sparse(spsolve(CHOLMOD_A, L, Sparse(B, 0)))
-(\)(L::Factor, B::SparseVector) = sparse(spsolve(CHOLMOD_A, L, Sparse(B)))
+(\)(L::Factor, B::SparseVecOrMat) = sparse(spsolve(CHOLMOD_A, L, Sparse(B, 0)))
 
 \(adjL::Adjoint{<:Any,<:Factor}, B::Dense) = (L = adjL.parent; solve(CHOLMOD_A, L, B))
 \(adjL::Adjoint{<:Any,<:Factor}, B::Sparse) = (L = adjL.parent; spsolve(CHOLMOD_A, L, B))
diff --git a/stdlib/SuiteSparse/test/cholmod.jl b/stdlib/SuiteSparse/test/cholmod.jl
index 419efc70f303c..c19c3726dd979 100644
--- a/stdlib/SuiteSparse/test/cholmod.jl
+++ b/stdlib/SuiteSparse/test/cholmod.jl
@@ -706,16 +706,6 @@ end
     @test A\view(Matrix(1.0I, 5, 5), :, :) ≈ Matrix(Diagonal(x))
 end
 
-@testset "Test \\ for Factor and SparseVecOrMat" begin
-    sparseI = sparse(1.0I, 100, 100)
-    sparseb = sprandn(100, 0.5)
-    sparseB = sprandn(100, 100, 0.5)
-    chI = cholesky(sparseI)
-    @test chI \ sparseb ≈ sparseb
-    @test chI \ sparseB ≈ sparseB
-    @test chI \ sparseI ≈ sparseI
-end
-
 @testset "Real factorization and complex rhs" begin
     A = sprandn(5, 5, 0.4) |> t -> t't + I
     B = complex.(randn(5, 2), randn(5, 2))