Numerically weak correlations can stem from research studies for numer
ous reasons, some of which have little to do with lack of true physiol
ogic relationships. Previous investigators have reported relatively we
ak correlations among urologic measures, mostly based on patients refe
rred to urologic clinics. Such samples of patients may be prone to sel
f-selection or referral bias. Men seeking medical care for urinary sym
ptoms are more likely to have more severe symptoms, low urinary flow r
ates, and prostatic enlargement, and hence clinic-based samples may re
flect a narrow spectrum in urologic measures, resulting in attenuated
correlation coefficients. Measurement error in the technique or equipm
ent, lack of specificity, and within-patient variability can also atte
nuate correlations. Thus, the characteristics of the sample upon which
correlations are calculated must be considered in the interpretation
of the magnitude of relationships among measurements. Possibly due to
the broader spectrum, community-based studies have recently found mode
st but somewhat stronger relationships among urologic measures than pr
eviously documented. Such correlations are comparable to those found i
n other disease areas. In addition, such studies have documented that
symptoms, urinary flow rate, and prostatic enlargement are predictive
of long-term complications, such as acute urinary retention, with pred
ictive relationships comparable to those found in other disease areas.
Thus, the relationships among and predictive ability of urologic meas
ures may be stronger than currently appreciated. (C) 1998, Elsevier Sc
ience Inc. All rights reserved.