Follow-up Algorithms

Follow-Up Algorithms is a clinical decision-making framework that specifies systematic, evidence-based protocols for subsequent diagnostic or monitoring procedures following an initial cytologic screening result, distinguishing it from general screening guidelines by focusing on risk-stratified management pathways tailored to cytologic findings.

21

Publications

1.3K

Citations

152

Authors

74

Institutions

Publications per year

2017–2026

10

Authors

152

  1. SS
    Sabine Siesling

    Netherlands Comprehensive Cancer Organisation, Netherlands

    2 publications · 65 citations

    2

    h-index

  2. TM
    Thusitha Mabotuwana

    University of Auckland, New Zealand

    1 publications · 16 citations

    1

    h-index

  3. FC
    Frank Chang

    Brigham and Women's Hospital, United States

    1 publications · 29 citations

    1

    h-index

  4. SJ
    Steven J. Atlas

    Massachusetts General Hospital, United States

    1 publications · 29 citations

    1

    h-index

  5. LD
    LaTara Demps

    Moffitt Cancer Center, United States

    1 publications · 70 citations

    1

    h-index

1–5 of 152

Venues

  1. Journal of Medical Internet Research

    1 publications · 24 citations

    1

    h-index

  2. Value in Health

    1 publications · 13 citations

    1

    h-index

  3. Annals of Surgical Oncology

    1 publications · 70 citations

    1

    h-index

  4. PubMed

    Repository · 1 publications · 16 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 29 citations

    1

    h-index

1–5