700 research outputs found

    Incorporating DNA Sequencing into Current Prenatal Screening Practice for Down's Syndrome

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    PMCID: PMC3604109This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

    Screening for Future Cardiovascular Disease Using Age Alone Compared with Multiple Risk Factors and Age

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    This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

    Antenatal screening for Down's syndrome: Revised nuchal translucency upper truncation limit due to improved precision of measurement

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    OBJECTIVE: To determine whether the improved precision of nuchal translucency (NT) measurement used in antenatal screening for Down’s syndrome observed over time as evidenced by a decrease in the multiple of the median (MoM) standard deviation requires a modification to the NT MoM truncation limits to maintain accurate risk estimation. METHODS: Probability plots were derived from the measurements of NT MoM values used in a 2018 audit of 22,362 unaffected pregnancies. The plots were used to determine whether the NT MoM upper truncation limit should be lowered. Validation plots were used to assess the screening accuracy of Down’s syndrome risk estimates calculated from observed NT MoM values in the 22,362 unaffected pregnancies and 69 Down’s syndrome pregnancies for original and revised NT MoM truncation limits. RESULTS: Probability plots indicated that with improved precision of NT measurements, there was deviation from a Gaussian distribution at less high MoM values than with less precise measurements. Validation plots showed that using the current NT MoM upper truncation limit of 2.5 MoM with improved precision NT measurements overestimates the Down’s syndrome risk (median risk in highest risk category expressed as an odds was 53.3:1 and observed prevalence was 1:1.1). The large discrepancy was corrected by changing the NT upper truncation limit to 2.0 MoM (median risk in highest risk category expressed as an odds was 1:1.78 and observed prevalence 1:2.7). CONCLUSION: The NT MoM upper truncation limit should be reduced from 2.5 to 2.0 MoM

    Multi-marker risk-based screening for prostate cancer.

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    OBJECTIVE: To determine prostate cancer screening performance using prostate specific antigen (PSA) along with other markers, expressing markers in age-specific multiples of the median (MoM), and age. METHODS: A prospective nested case-control study used stored serum from 571 men who died of, or with history of, prostate cancer (cases), and 2169 matched controls. Total, free and intact PSA, human kallikrein-related peptidase 2 (hK2), and microseminoprotein were measured and converted into MoM values. Screening marker distribution parameters were estimated in cases and controls. Monte Carlo simulation used these in a risk-based algorithm to estimate screening performance (detection rates [DRs] and false-positive rates [FPRs]). RESULTS: Almost all (99%) cases occurred aged ≥55. Marker values were similar in cases who did and did not die of prostate cancer. Combining age, total PSA and hK2 MoM values (other markers added little or no discrimination) yielded a 1.2% FPR (95% CI 0.2-4.8%) for a 90% DR (59-98%) in men who died of or with a prostate cancer diagnosis within 5 years of blood collection (risk cut-off 1 in 20), two-thirds less than the 4.5% FPR using total PSA alone measured in ng/ml for the same 90% DR (cut-off 3.1 ng/ml). Screening performance over 10 years yielded a 33% (22-46%) FPR for a 90% DR. CONCLUSION: Screening performed up to every 5 years from age 55 using the multi-marker risk-based screening algorithm for future prostate cancer achieves a high DR and a much lower FPR than using PSA alone, resulting in reductions in overdiagnosis and overtreatment

    The dose-response relationship between cigarette consumption, biochemical markers and risk of lung cancer.

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    The relationship between the number of cigarettes smoked per day and the incidence of lung cancer is linear but, from the multistage model of carcinogenesis, it should be quadratic (upwards curving). We investigated this anomaly in a study of 11,403 male never smokers and current smokers in whom carboxyhaemoglobin (COHb) was measured in all and serum cotinine in 1175. The relationship between the biochemical markers and the reported number of cigarettes per day was approximately linear up to 20 cigarettes per day as expected. But above 20 cigarettes per day the marker levels increased less steeply and were 35% lower than expected in men who smoked more than 40 cigarettes per day. Less smoke is inhaled from each cigarette by men with high daily cigarette consumption than by men with lower consumption. Allowance for this transforms the observed linear dose-response relationship into one consistent with the expected quadratic relationship. The anomaly is explained by the observation that heavier smokers inhale less smoke from each cigarette
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