Literature DB >> 15565561

Age-standardisation when target setting and auditing performance of Down syndrome screening programmes.

Howard Cuckle1, David Aitken, Sandra Goodburn, Brian Senior, Kevin Spencer, Sue Standing.   

Abstract

OBJECTIVE: To describe and illustrate a method of setting Down syndrome screening targets and auditing performance that allows for differences in the maternal age distribution.
METHODS: A reference population was determined from a Gaussian model of maternal age. Target detection and false-positive rates were determined by standard statistical modelling techniques, except that the reference population rather than an observed population was used. Second-trimester marker parameters were obtained for Down syndrome from a large meta-analysis, and for unaffected pregnancies from the combined results of more than 600,000 screens in five centres. Audited detection and false-positive rates were the weighted average of the rates in five broad age groups corrected for viability bias. Weights were based on the age distributions in the reference population.
RESULTS: Maternal age was found to approximate reasonably well to a Gaussian distribution with mean 27 years and standard deviation 5.5 years. Depending on marker combination, the target detection rates were 59 to 64% and false-positive rate 4.2 to 5.4% for a 1 in 250 term cut-off; 65 to 68% and 6.1 to 7.3% for 1 in 270 at mid-trimester. Among the five centres, the audited detection rate ranged from 7% below target to 10% above target, with audited false-positive rates better than the target by 0.3 to 1.5%.
CONCLUSION: Age-standardisation should help to improve screening quality by allowing for intrinsic differences between programmes, so that valid comparisons can be made. Copyright 2004 John Wiley & Sons, Ltd.

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Year:  2004        PMID: 15565561     DOI: 10.1002/pd.990

Source DB:  PubMed          Journal:  Prenat Diagn        ISSN: 0197-3851            Impact factor:   3.050


  4 in total

1.  Primary prevention of Down's syndrome.

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2.  Cost-effectiveness of prenatal screening and diagnostic strategies for Down syndrome: A microsimulation modeling analysis.

Authors:  Wei Zhang; Tima Mohammadi; Julie Sou; Aslam H Anis
Journal:  PLoS One       Date:  2019-12-04       Impact factor: 3.240

Review 3.  Prenatal Screening Using Maternal Markers.

Authors:  Howard Cuckle
Journal:  J Clin Med       Date:  2014-05-09       Impact factor: 4.241

4.  Correcting for optimistic prediction in small data sets.

Authors:  Gordon C S Smith; Shaun R Seaman; Angela M Wood; Patrick Royston; Ian R White
Journal:  Am J Epidemiol       Date:  2014-06-24       Impact factor: 4.897

  4 in total

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