How to show whether there's a significant higher rate?

Maybe someone can help me or at least give me some clues.

I have 1057 patients all with different types of prostheses. One of them seems to have a higher revision rate than the others.

total numbers:
prosthesisA 662
prosthesisB 162
prosthesisC 151
other       82

revision rate:
prosthesisA 9   1,36%
prosthesisB 11  6,79%
prosthesisC 3   1,99%
other       4   4,88%


Could anyone tell me how I can show whether the revision rate of prothesisB (6,79%) is significantly higher or not compared to the other prostheses (incl. "other")?

Thank you & kind regards

Edit: Is it possible to compare only the prosthesisB with all others at once? I've created the following contingency table:

        prostB  other   total
Rev     11      16      27
noRev   162     868     1030
173     884     1057

Odds-Ratio = (11*868)/(16*162) = 3.68
p-Value (Fisher Test) = 0.001


Can I say now that the chances for a revision with prosthesisB are ~3.5 times higher compared to all others? Is this plausible since the p-Value of the Fisher's exact test is highly significant?

• When you say "compared to the others", do you mean "compared to prosthesisA, prosthesisC and other", or "compared to other"? – Henry Sep 17 '11 at 23:03
• Yeah, sorry. I should have stated it clearer. I mean compared to all other prosthesis including "other". – TheLostOne Sep 17 '11 at 23:19