Boolean Function to be applied to Dataframe with For Loop

I have writter the following function:

def extract_id(df, col):

column = df[col]
placement_extract = column.str.extract('(\d{14})', expand=True)

for placement in column:
    if placement in placement_extract == True:
        return placement_extract
    else:
        return 'False'

atlas_df['test'] = extract_id(atlas_df, 'PlacementName')

When I apply though, I get an error

ValueError: cannot convert float NaN to integer

What I'd like to do is to apply the function, if the extract is true for that placement (row) then give me the 14 numbers. If not, return the word False.

Can somebody help?

Best,

M