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Validation plots in antenatal screening for Down's syndrome.

N J Wald1, J P Bestwick, W J Huttly

  • 1Wolfson Institute of Preventive Medicine, Barts and the London Queen Mary's School of Medicine and Dentistry, Charterhouse Square, London EC1M 6BQ, UK. n.j.wald@qmul.ac.uk

Journal of Medical Screening
|January 16, 2007
PubMed
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This study validates antenatal Down's syndrome screening accuracy using integrated tests and validation plots. The plots effectively assess risk estimation and screening performance, proving robust even with underascertained cases.

Area of Science:

  • Prenatal diagnostics
  • Biostatistics
  • Genetics

Background:

  • Accurate antenatal screening for Down's syndrome is crucial for informed reproductive decisions.
  • Existing screening methods require empirical validation to ensure reliability.

Purpose of the Study:

  • To validate the accuracy of the Integrated test for antenatal Down's syndrome screening.
  • To compare the Integrated test's performance against other screening methods.
  • To propose a standardized method for presenting and interpreting validation analyses.

Main Methods:

  • Utilized data from 7809 unaffected and 27 Down's syndrome pregnancies.
  • Employed validation plots comparing predicted risk quintiles against observed prevalence for various screening tests.
  • Assessed robustness by simulating underascertainment of affected pregnancies.

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Main Results:

  • Validation plots confirmed the accuracy of risk estimation across different screening tests.
  • Demonstrated distinct screening performances based on risk spanned and separation of low-risk points.
  • Confirmed the robustness of validation plots against underascertainment of cases.

Conclusions:

  • Validation plots offer a simple, robust method for assessing new screening method validity.
  • The approach effectively evaluates risk estimation accuracy and audits screening program performance.
  • This method aids in refining and ensuring the reliability of prenatal screening programs.