Development of a Testicular Self-Examination Program for College Men

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Abstract
“When to Perform Biopsies of Enlarged Peripheral Lymph Nodes in Young Patients,” GAIL B. SLAP, et al. Identification of young patients with peripheral lymphadenopathy who will benefit from lymph node biopsy often is difficult. A model was developed to differentiate patients whose biopsy results do not lead to treatment (normal, hyperplastic, or benign inflammatory lymph nodes) from those whose biopsy results do lead to treatment (granulomatous or malignant nodes). The medical records and histopathology slides of 123 nine- to 25-year-old patients who underwent biopsies of enlarged peripheral lymph nodes were reviewed for pathological diagnosis and 22 clinical findings. Seventy-two (58%) patients had biopsy results that did not lead to treatment, and 51 (42%) had results that did lead to treatment. Using stepwise discriminant analysis, a predictive model was developed that assigned 95% of the cases to the correct biopsy group based on lymph node size; history of recent ear, nose, and throat symptoms; and chest roentgenogram. When tested prospectively on new patients, the model correctly classified 32 (97%) of 33. We conclude that this simple model can help select adolescents and young adults with peripheral lymphadenopathy for biopsy. (Journal of the American Medical Association 1984;252:1321-1326.) “The Clinical Information Value of the Glycosylated Hemoglobin Assay,” David M. Nathan, et al. We evaluated the clinical information value of the glycosylated hemoglobin assay by comparing it with practitioners' estimates of glucose control over the preceding 10 weeks in 216 patients with diabetes. Twenty-four percent of the practitioners' estimates, which were based on historical and laboratory data collected during a routine office visit, differed by more than ± 75 mg per deciliter from the actual mean blood glucose levels calculated with the glycosylated hemoglobin assay. One third of the mean blood glucose concentration fell outside the confidence intervals physicians used to bound their estimates. When examined individually or in the aggregate, historical information, such as polyuria, nocturia, or home urine testing for glucose, and laboratory information, such as fasting or random blood glucose levels, were weak predictors of the actual mean concentration of blood glucose.

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