No abstract

RT or S + RT results in significantly better local control than S. Even after dividing the groups into cases with free and positive margins and cases with primary and recurrent tumors, the best local control is achieved with RT or S + RT.

PLANKEY M I C H A E L W, JUNE STEVENS, KATHERINE M FLEGAL, PHILIP F RUST.Prediction equations do not eliminate systematic error in selfreported body mass index. Obes Res. 1997;5:30&314. Epidemiological studies of the risks of obesity often use body mass index (BMI) calculated from self-reported height and weight. The purpose of this study was to examine the pattern of reporting error associated with self-reported values of BMI and to evaluate the extent to which linear regression models predict measured BMI from self-reported data and whether these models could compensate for this reporting error. We examined measured and self-reported weight and height on 5079 adults aged 30 years to 64 years from the second National Health and Nutrition Examination Survey. Measured and self-reported BMI (kg/m2) was calculated, and multiple linear regression techniques were used to predict measured BMI from self-reported BMI. The error in self-reported BMI (self-reported BMI minus measured BMI) was not constant but varied systematically with BMI. The correlation between measured BMI and the error in self-reported BMI was -0.37 for men and -0.38 for women. The pattern of reporting error was only weakly associated with self-reported BMI, with the correlation being 0.05 for men and -0.001 for women. Error in predicted BMI (predicted BMI minus measured BMI) also varied systematically with measured BMI, but less consistently with self-reported BMI. More complex models only slightly improved the ability to predict measured BMI compared with self-reported BMI alone. None of the equations were able to eliminate the systematic reporting error in determining measured BMI values from self-reported data. The characteristic pattern of error associated with self-reported BMI is difficult or impossible to correct by the use of linear regression models.

Antibody titres to whole ovary, theca cells, granulosa cells and endometrium were determined by passive haemagglutination and immunofluorescence assays in sera and in cervical and vaginal secretions from 13 patients with endometriosis. Antibody titres to endometrium (mean log2 ±s.e.m., 7-08+0-80; P<0-0001), ovary (3-58+0-87; P= 0-0092), theca cells (4-42+0-73; P<0-0001) and granulosa cells (3-33+0-63; P=0-0024) were significantly higher in the patients' sera than in sera from 15 normal non-pregnant females. Antibody titres to granulosa cells were elevated (7-97 + 1-46; P= 0-0424) in their cervical secretions. Antibody titres to all tissues tested were similar in vaginal secretions of patients and controls. Immunofluorescent antibody assay of biopsied endometrical tissue and sera from the patients revealed the antibodies to be primarily IgG and IgA. The results suggest that autoantibodies to endometrium and ovary are present in patients with endometriosis.