[Can nomograms derived in the U.S. applied to German patients? A study about the validation of preoperative nomograms predicting the risk of recurrence after radical prostatectomy].
In patients suffering from prostate cancer, preoperative nomograms, which predict the risk of recurrence may provide a helpful tool in regard to the counselling and planning of an appropriate therapy. The best known nomograms were published by the Baylor College of Medicine, Houston and the Harvard Medical School, Boston. We investigated these nomograms derived in the U.S. when applied to German patients. Data from 1003 patients who underwent radical prostatectomy at the University-Hospital Hamburg were used for validation. Nomogram predictions of the probability for 2-years (Harvard nomogram) and 5-years (Kattan nomogram) freedom from PSA recurrence were compared with actual follow-up recurrence data using areas under the receiver-operating-characteristic curves (AUC). The recurrence free survival after 2 and 5 years was 78% and 58%, respectively. The AUC of the Harvard nomogram predicting 2-years probability of freedom from PSA recurrence was 0.80 vs. Kattan-Nomogram 5-years prediction of 0.83. Thereby, the Kattan nomogram showed a significant higher predictive accuracy (p=0.0274). For that reason preoperative nomograms derived in the U.S. can be applied to german patients. However, we would recommend the utilization of the Kattan nomogram due to its higher predictive accuracy.
Graefen
M
M
Klinik und Poliklinik für Urologie, Universitätsklinik Hamburg-Eppendorf. graefen@uke.uni-hamburg.de
Augustin
H
H
Karakiewicz
P I
PI
Hammerer
P G
PG
Haese
A
A
Palisaar
J
J
Fernandez
S
S
Noldus
J
J
Erbersdobler
A
A
Cagiannos
I
I
Scardino
P T
PT
Kattan
M W
MW
Huland
H
H
D014408:Biomarkers, Tumor / Q000097:blood; D001706:Biopsy / Q000706:statistics & numerical data; D003431:Cross-Cultural Comparison; D018572:Disease-Free Survival; D005858:Germany; D006801:Humans; D008297:Male; D015233:Models, Statistical; D009364:Neoplasm Recurrence, Local / Q000401:mortality / Q000473:pathology* / Q000601:surgery; D009367:Neoplasm Staging / Q000706:statistics & numerical data; D011467:Prostate / Q000473:pathology; D017430:Prostate-Specific Antigen / Q000097:blood; D011468:Prostatectomy / Q000706:statistics & numerical data; D011471:Prostatic Neoplasms / Q000401:mortality / Q000473:pathology* / Q000601:surgery; D012372:ROC Curve; D012016:Reference Values; D015203:Reproducibility of Results; D012306:Risk; D014481:United States
D014408:Biomarkers, Tumor; D017430:Prostate-Specific Antigen