  Using exclusively the localized estimates upon which the helicoidal method
was built, we show how sparse estimates can also be obtained. This approach
yields a sparse domination for multiple vector-valued extensions of operators
as well. We illustrate these ideas for an $n$-linear Fourier multiplier whose
symbol is singular along a $k$-dimensional subspace of $\Gamma=\lbrace
\xi_1+\ldots+\xi_{n+1}=0 \rbrace$, where $k<\dfrac{n+1}{2}$, and for the
variational Carleson operator.
