Article Figures & Data
Figures
- Fig. 1.
Average CA125 values based on the fitted model as a function of age for Caucasian, Asian, and African subjects with no previous (left) and previous (right) nonovarian cancer history.
Tables
- Table 1
Subject characteristics summary: Number of subjects, median, and 95% range of CA125II values in each subpopulation defined by factor
Factor No. of subjects Median CA125 (units/ml) 95% range (units/ml) Race Caucasian 17,852 14.2 (6.0–41.0) Asian 80 13.0 (5.9–33.3) African 89 9.0 (4.0–26.0) Other 727 15.4 (5.9–43.7) Parity No children 2,516 14.1 (5.8–39.2) Children 16,232 14.2 (6.0–41.2) OCPa None 13,350 14.3 (6.0–41.5) Previous 5,398 14.0 (6.0–40.0) HRT None 16,262 14.3 (6.0–41.0) Previous 2,486 14.0 (5.6–42.2) Hysterectomy None 10,852 14.6 (6.0–41.6) Previous 4,321 13.6 (5.5–39.0) Ovarian cyst None 17,505 14.2 (6.0–41.1) Previous 1,243 14.0 (5.6–39.0) Talcum powder None 10,852 14.3 (5.9–41.6) Previous 7,896 14.0 (6.0–40.4) Smoking None 14,877 14.4 (6.0–41.0) Previous 3,871 13.9 (5.4–40.5) Caffeine consumption None 3,715 14.9 (6.0–42.0) Previous 15,033 14.0 (5.9–41.0) Oopherectomy None 18,602 14.2 (6.0–41.0) Previous 146 14.0 (6.0–32.5) Cancer None 18,156 14.1 (6.0–41.0) Previous 592 16.0 (6.0–49.0) -
a OCP, oral contraceptive.
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- Table 2
Additional subject characteristics summary: Median (range) age of menarche, age of menopause, and baseline age for all subjects included in the analysis.
Variable Median Range Age of menarche, yr 13.0 7–23 Age of menopause, yr 49.0 16–65.0 Age, yr 58.2 40.9–60.2 - Table 3
Parameter estimates and Ps: Parameter estimates and Ps for all factors included in the best-fitting mixed linear model for log CA125 values
For factors containing possible values “None” and “Previous,” the parameter estimates equal the difference in log CA125 values for those with a previous history minus those with no history. For the race variable, the parameter estimate is the average difference in log CA125 between the factor (African, Asian, or Other) and Caucasian. Parameter estimates for all age variables represent the change in log CA125 variable for a unit increase. All of the age variables are standardized by subtracting the population mean. Variable Parameter estimate exp(β) P Intercept 2.75 15.64 <0.001 Race African −0.48 0.62 <0.001 Asian −0.17 0.84 Other 0.08 1.08 Parity 0.01 0.99 0.34 Hysterectomy −0.05 1.05 <0.001 Ovarian cyst −0.04 1.04 0.02 Smoking −0.07 1.07 <0.001 Caffeine consumption −0.05 1.05 <0.001 Cancer 0.12 0.89 <0.001 Age of menarche, 13.1 yr 0.009 1.01 <0.001 Age of menopause, 48 yr 0.007 1.01 <0.001 Age, 61.05 yr −0.008 0.99 <0.001 (Age, 61.05) × cancer −0.007 0.99 0.02
May 2001
Volume 10, Issue 5
Volume 10, Issue 5
Factors Influencing Serum CA125II Levels in Healthy Postmenopausal Women
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