Is TWEAK a valid screening questionnaire to identify alcohol risk drinkers among pregnant women in Denmark?

INTRODUCTION: Identification of pregnant alcohol risk drinkers is crucial to prevent adverse birth outcomes. The TWEAK screening instrument has shown promising results for identifying risk drinkers. However, as the effectiveness of the screening questionnaire has only been investigated among American women with mainly low socioeconomic status, we aimed to investigate the ability of TWEAK to identify alcohol risk drinkers among pregnant Danish women. MATERIAL AND METHODS: During 2000, Danish-speaking women referred to the Midwife Center at Aarhus University Hospital (n = 1554) and Fredericia Hospital (n = 499) for routine antenatal care were invited to participate in the study at their first visit. The women were interviewed about their periconceptional and current drinking habits including average weekly alcohol consumption and binge drinking. Additionally, the women were also asked the questions related to the TWEAK questionnaire. RESULTS: We found that the sensitivity of TWEAK to identify periconceptional risk drinking was quite low, but its ability to identify risk drinkers during pregnancy was marginally higher. Our results suggested that older age (odds ratio 1.46, 95% confidence interval 0.95-2.23), current smoking (odds ratio 2.33, 95% confidence interval 1.63-3.33), being single (odds ratio 2.38, 95% confidence interval 1.38-4.11) and a TWEAK score with a cut-off score of ≥1 (odds ratio 2.75, 95% confidence interval 2.02-3.76) increased the risk of high-risk drinking during pregnancy. CONCLUSIONS: In a Danish setting, TWEAK does not seem as an optimal screening tool to identify periconceptional risk drinkers but it may be useful in identifying high-risk drinking during pregnancy.

Cigarette smoking is associated with adverse survival among women with ovarian cancer: Results from a pooled analysis of 19 studies.

Cigarette smoking is associated with an increased risk of developing mucinous ovarian tumors but whether it is associated with ovarian cancer survival overall or for the different histotypes is unestablished. Furthermore, it is unknown whether the association between cigarette smoking and survival differs according to strata of ovarian cancer stage at diagnosis. In a large pooled analysis, we evaluated the association between various measures of cigarette smoking and survival among women with epithelial ovarian cancer. We obtained data from 19 case-control studies in the Ovarian Cancer Association Consortium (OCAC), including 9,114 women diagnosed with ovarian cancer. Cox regression models were used to estimate adjusted study-specific hazard ratios (HRs), which were combined into pooled hazard ratios (pHR) with corresponding 95% confidence intervals (CIs) under random effects models. Overall, 5,149 (57%) women died during a median follow-up period of 7.0 years. Among women diagnosed with ovarian cancer, both current (pHR = 1.17, 95% CI: 1.08-1.28) and former smokers (pHR = 1.10, 95% CI: 1.02-1.18) had worse survival compared with never smoking women. In histotype-stratified analyses, associations were observed for mucinous (current smoking: pHR = 1.91, 95% CI: 1.01-3.65) and serous histotypes (current smoking: pHR = 1.11, 95% CI: 1.00-1.23; former smoking: pHR = 1.12, 95% CI: 1.04-1.20). Further, our results suggested that current smoking has a greater impact on survival among women with localized than disseminated disease. The identification of cigarette smoking as a modifiable factor associated with survival has potential clinical importance as a focus area to improve ovarian cancer prognosis.

Risk of skin cancer following tamoxifen treatment in more than 16,000 breast cancer patients: a cohort study.

BACKGROUND: Women with breast cancer are at increased risk of developing skin cancer. Little is known about how tamoxifen affects this risk. We aimed to investigate whether tamoxifen treatment following breast cancer is associated with skin cancer. METHODS: A cohort consisting of 44,589 women diagnosed with breast cancer during 1977-2007 from the nationwide clinical database of the Danish Breast Cancer Cooperative Group, was followed for a primary skin cancer [basal cell carcinoma (BCC), squamous cell carcinoma (SCC) or melanoma] in the Danish Cancer Registry supplemented by data on BCC and SCC from the Danish Pathology Register. We investigated incidence of skin cancer among 16,214 women treated with tamoxifen compared to 28,375 women not treated with tamoxifen by calculating incidence rate ratios (IRRs) in Cox regression models. RESULTS: Tamoxifen users were followed for a median of 2.9 years. The median duration of tamoxifen treatment increased from around 1 year among women diagnosed before 1999 to nearly 2.5 years among women diagnosed in 1999 or later. Women treated with tamoxifen had an IRR 1.06 (95 % CI 0.72-1.55) for SCC and an IRR 1.40 (95 % CI 0.95-2.08) for melanoma when compared to non-users. The observed number of these types of cancer (37 SCCs and 38 melanomas among users) did not allow stratification on calendar-period. The overall IRR for BCC was 0.96 (95 % CI 0.84-1.09), but the IRR differed by menopausal status and calendar-period at diagnosis of breast cancer. CONCLUSIONS: Our overall results indicate that tamoxifen is not associated with skin cancer. However, the inconsistency of results from stratifications prevents a firm conclusion.

The association between socioeconomic status and tumour stage at diagnosis of ovarian cancer: A pooled analysis of 18 case-control studies.

PURPOSE: Socioeconomic status (SES) is a known predictor of survival for several cancers and it has been suggested that SES differences affecting tumour stage at diagnosis may be the most important explanatory factor for this. However, only a limited number of studies have investigated SES differences in tumour stage at diagnosis of ovarian cancer. In a pooled analysis, we investigated whether SES as represented by level of education is predictive for advanced tumour stage at diagnosis of ovarian cancer, overall and by histotype. The effect of cigarette smoking and body mass index (BMI) on the association was also evaluated. METHODS: From 18 case-control studies, we obtained information on 10,601 women diagnosed with epithelial ovarian cancer. Study specific odds ratios (ORs) with corresponding 95% confidence intervals (CI) were obtained from logistic regression models and combined into a pooled odds ratio (pOR) using a random effects model. RESULTS: Overall, women who completed ≤high school had an increased risk of advanced tumour stage at diagnosis compared with women who completed >high school (pOR 1.15; 95% CI 1.03-1.28). The risk estimates for the different histotypes of ovarian cancer resembled that observed for ovarian cancers combined but did not reach statistical significance. Our results were unchanged when we included BMI and cigarette smoking. CONCLUSION: Lower level of education was associated with an increased risk of advanced tumour stage at diagnosis of ovarian cancer. The observed socioeconomic difference in stage at diagnosis of ovarian cancer calls for further studies on how to reduce this diagnostic delay.