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Background: Surveillance of congenital anomalies is important to identify potential teratogens. Despite known associations between different anomalies, current surveillance methods examine trends within each subgroup separately. We aimed to evaluate whether hierarchical statistical methods that combine information from several subgroups simultaneously would enhance current surveillance methods using data collected by EUROCAT, a European network of population-based congenital anomaly registries., Methods: Ten-year trends (2003 to 2012) in 18 EUROCAT registries over 11 countries were analyzed for the following groups of anomalies: neural tube defects, congenital heart defects, digestive system, and chromosomal anomalies. Hierarchical Poisson regression models that combined related subgroups together according to EUROCAT's hierarchy of subgroup coding were applied. Results from hierarchical models were compared with those from Poisson models that consider each congenital anomaly separately., Results: Hierarchical models gave similar results as those obtained when considering each anomaly subgroup in a separate analysis. Hierarchical models that included only around three subgroups showed poor convergence and were generally found to be over-parameterized. Larger sets of anomaly subgroups were found to be too heterogeneous to group together in this way., Conclusion: There were no substantial differences between independent analyses of each subgroup and hierarchical models when using the EUROCAT anomaly subgroups. Considering each anomaly separately, therefore, remains an appropriate method for the detection of potential changes in prevalence by surveillance systems. Hierarchical models do, however, remain an interesting alternative method of analysis when considering the risks of specific exposures in relation to the prevalence of congenital anomalies, which could be investigated in other studies. Birth Defects Research (Part A) 106:480-10, 2016. © 2016 Wiley Periodicals, Inc., (© 2016 Wiley Periodicals, Inc.)

Background: The "organized approach" to cervical screening in Australia includes standardized quality assurance measures for laboratories. This study examines changes in the frequency and the positive predictive value of reporting severe abnormalities in cervical smears over a 3-year period as a guide to the effects of implementing these measures., Methods: The results of screening in 6-month periods from January 1995 to December 1997 were determined. Biopsy follow-up for results in the high grade epithelial abnormality ("HGEA") and "inconclusive: possible HGEA" categories was obtained from the Western Australian Cervical Cytology Registry (CCR)., Results: Approximately 40,000 smears were examined in each 6-month period. The frequencies of reporting HGEA were 0.47%, 0.59%, 0.79%, 0.85%, and 0.84%, and 0.91% for the study periods (P < 0.001). For the inconclusive category, they were 0.24%, 0.18%, 0.24%, 0.31%, 0.38%, and 0.35% (P < 0.001). Biopsy follow-up was available for 83. 9%, 80.5%, 89.9%, 92.4%, 93.1%, and 90.3% of the HGEA results and for 78.6%, 71.7%, 80.5%, 75.0%, 87.1%, and 85.9% of the inconclusive results over the study periods. The yield of high grade lesions for the biopsied cases was 82.6%, 82.3%, 83.1%, 79.5%, 80.9%, and 79% for HGEA cases and 58.2%, 41.9%, 60.6%, 52.8%, 47.5%, and 54.1% for inconclusive cases., Conclusions: There was a doubling in the reporting of HGEA results, whereas the positive predictive value for biopsied cases remained at about 80%. Reporting rates for inconclusive: possible HGEA cases also doubled, but the yield of biopsy-proven, high grade lesions remained at about 50%. These changes occurred in the absence of ancillary testing and with targeted rescreening methods. A high rate of reporting HGEA, in combination with a high positive predictive value, is among the most important indicators of cervical cytology laboratory performance. Large improvements in results may occur using conventional methods of quality assurance. Cancer (Cancer Cytopathol), (Copyright 2000 American Cancer Society.)

Background: The Australian Terminology for Cervical Cytology Reporting includes the category "Inconclusive-Possible high grade epithelial abnormality.", Methods: The frequency of use of this category, the types of associated cell patterns, and the yield of high grade lesions at biopsy were studied., Results: One hundred and two cases categorized as "Inconclusive" were reported between January and June 1995, representing 0.24% of 41,712 Papanicolaou (Pap) smears screened. The abnormal cells were reported as squamous in 74.5% of cases, endocervical in 4.9% of cases, endometrial in 3.9% of cases, and indeterminate in 16.7% of cases. The main cellular patterns included disorganized groups of hyperchromatic squamous, glandular, or indeterminate cells (64.2% of cases) and atypical metaplastic squamous cells (28.4% of cases). Cell preservation was suboptimal. In 25.3% of cases the cells were highly degenerate or air-dried. Follow-up included biopsy (84.3% of cases), colposcopy alone (7.8% of cases), and repeat Pap smears without any detected abnormality (3.9% of cases). No follow-up was available in 3.9% of cases. High grade abnormalities were found in 66.3% of the biopsied cases and 55.9% of the total cases (48 cervical intraepithelial neoplasia [CIN] of Grade 2 or 3; 2 squamous cell carcinomas; 3 endocervical adenocarcinoma in situ [ACIS]; 3 adenocarcinomas of endocervical, ovarian, and endometrial origin; and 1 endometrial stromal sarcoma). In 16.2% of cases a low grade squamous lesion was present on biopsy (CIN, Grade 1 or human papillomavirus effect); and no lesion was found in 17.4% of cases., Conclusions: The "Inconclusive" category was not overused, and gave a high yield of biopsy abnormalities. Accepting uncertainty in the diagnosis of some high grade lesions reduces their likelihood of being classified incorrectly as reactive changes, ignored because of poor cell preservation, or lost in the larger group of classifications such as atypical cells of undetermined significance, borderline nuclear abnormality, or non-specific minor changes.