diff --git a/doc/source/whatsnew/v0.25.2.rst b/doc/source/whatsnew/v0.25.2.rst
index 59aedd2c5e8e6..35229591ecfae 100644
--- a/doc/source/whatsnew/v0.25.2.rst
+++ b/doc/source/whatsnew/v0.25.2.rst
@@ -1,6 +1,6 @@
 .. _whatsnew_0252:
 
-What's new in 0.25.2 (October XX, 2019)
+What's new in 0.25.2 (October 15, 2019)
 ---------------------------------------
 
 These are the changes in pandas 0.25.2. See :ref:`release` for a full changelog
@@ -15,93 +15,25 @@ including other versions of pandas.
 Bug fixes
 ~~~~~~~~~
 
-Categorical
-^^^^^^^^^^^
-
--
-
-Datetimelike
-^^^^^^^^^^^^
-
--
--
--
-
-Timezones
-^^^^^^^^^
-
--
-
-Numeric
-^^^^^^^
-
--
--
--
--
-
-Conversion
-^^^^^^^^^^
-
--
-
-Interval
-^^^^^^^^
-
--
-
 Indexing
 ^^^^^^^^
 
-- Fix regression in :meth:`DataFrame.reindex` not following ``limit`` argument (:issue:`28631`).
+- Fix regression in :meth:`DataFrame.reindex` not following the ``limit`` argument (:issue:`28631`).
 - Fix regression in :meth:`RangeIndex.get_indexer` for decreasing :class:`RangeIndex` where target values may be improperly identified as missing/present (:issue:`28678`)
--
--
--
-
-Missing
-^^^^^^^
-
--
 
 I/O
 ^^^
 
-- Fix regression in notebook display where <th> tags not used for :attr:`DataFrame.index` (:issue:`28204`).
+- Fix regression in notebook display where ``<th>`` tags were missing for :attr:`DataFrame.index` values (:issue:`28204`).
 - Regression in :meth:`~DataFrame.to_csv` where writing a :class:`Series` or :class:`DataFrame` indexed by an :class:`IntervalIndex` would incorrectly raise a ``TypeError`` (:issue:`28210`)
 - Fix :meth:`~DataFrame.to_csv` with ``ExtensionArray`` with list-like values (:issue:`28840`).
--
-
-Plotting
-^^^^^^^^
-
--
--
--
 
 Groupby/resample/rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
 - Bug incorrectly raising an ``IndexError`` when passing a list of quantiles to :meth:`pandas.core.groupby.DataFrameGroupBy.quantile` (:issue:`28113`).
--
--
--
-
-Reshaping
-^^^^^^^^^
-
--
--
--
--
--
-
-Sparse
-^^^^^^
-
--
+- Bug in :meth:`pandas.core.groupby.GroupBy.shift`, :meth:`pandas.core.groupby.GroupBy.bfill` and :meth:`pandas.core.groupby.GroupBy.ffill` where timezone information would be dropped (:issue:`19995`, :issue:`27992`)
 
-Other
 ^^^^^
 
 - Compatibility with Python 3.8 in :meth:`DataFrame.query` (:issue:`27261`)