ReviewYearbook of medical informatics2020
From Patient Engagement to Precision Oncology: Leveraging Informatics to Advance Cancer Care.
Review in Yearbook of medical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Debates and progress in the management of intermediate-stage (BCLC stage B) hepatocellular carcinoma.iLIVER · 2025Review
- Oncology Treatment in India: A Narrative Exploration of Patient Engagement and Care Strategies.Cureus · 2025Review
- Reviewing the Landscape of Cancer Survivorship: Insights from Dr. Lidia Schapira's Programs and Beyond.Cancers · 2024Review
- Behavioral Research in Cancer Prevention and Control: Emerging Challenges and Opportunities.Journal of the National Cancer Institute · 2022Article
- In the Pursuit of Privacy: The Promises and Predicaments of Federated Learning in Healthcare.Frontiers in artificial intelligence · 2021Review
- Personality Traits and Cardiotoxicity Arising From Cancer Treatments: An Hypothesized Relationship.Frontiers in psychology · 2021Article
- Cancer Informatics in 2019: Deep Learning Takes Center Stage.Yearbook of medical informatics · 2020Review
- Genomic Landscape of Liquid Biopsy for Hepatocellular Carcinoma Personalized Medicine.Cancer genomics & proteomicsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
objectivesConduct a survey of the literature for advancements in cancer informatics over the last three years in three specific areas where there has been unprecedented growth: 1) digital health; 2) machine learning; and 3) precision oncology. We also highlight the ethical implications and future opportunities within each area.
methodsA search was conducted over a three-year period in two electronic databases (PubMed, Google Scholar) to identify peer-reviewed articles and conference proceedings. Search terms included variations of the following: neoplasms[MeSH], informatics[MeSH], cancer, oncology, clinical cancer informatics, medical cancer informatics. The search returned too many articles for practical review (23,994 from PubMed and 23,100 from Google Scholar). Thus, we conducted searches of key PubMed-indexed informatics journals and proceedings. We further limited our search to manuscripts that demonstrated a clear focus on clinical or translational cancer informatics. Manuscripts were then selected based on their methodological rigor, scientific impact, innovation, and contribution towards cancer informatics as a field or on their impact on cancer care and research.
resultsKey developments and opportunities in cancer informatics research in the areas of digital health, machine learning, and precision oncology were summarized.
conclusionWhile there are numerous innovations in the field of cancer informatics to advance prevention and clinical care, considerable challenges remain related to data sharing and privacy, digital accessibility, and algorithm biases and interpretation. The implementation and application of these findings in cancer care necessitates further consideration and research.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.