Registry-based Ascertainment

Registry-Based Ascertainment is a systematic method of identifying undiagnosed cases of a condition through the structured interrogation of pre-existing health, disease, or population registries, distinguished by its reliance on centralized, routinely collected data sources rather than active screening or clinical presentation.

583

Publications

48K

Citations

4K

Authors

1.6K

Institutions

Publications per year

2017–2026

220

Authors

4K

  1. YB
    Yannick Béjot

    Université de Bourgogne, France

    10 publications · 642 citations

    10

    h-index

  2. MG
    Maurice Giroud

    Université de Bourgogne, France

    9 publications · 491 citations

    9

    h-index

  3. JD
    Jérôme Durier

    Université de Bourgogne, France

    8 publications · 589 citations

    8

    h-index

  4. KS
    Kenneth S. Kendler

    Virginia Commonwealth University, United States

    8 publications · 2.2K citations

    8

    h-index

  5. CA
    Carol A. Prescott

    Virginia Commonwealth University Medical Center, United States

    7 publications · 4.4K citations

    7

    h-index

1–5 of 4K

Venues

  1. PubMed

    Repository · 25 publications · 1.2K citations

    18

    h-index

  2. BMJ Open

    13 publications · 575 citations

    13

    h-index

  3. Clinical Epidemiology

    11 publications · 368 citations

    12

    h-index

  4. Twin Research and Human Genetics

    13 publications · 521 citations

    12

    h-index

  5. Orphanet Journal of Rare Diseases

    OJRD · 9 publications · 299 citations

    9

    h-index

1–5