Evidence mapPaperPMID 34713076Full record

ReviewFrontiers in digital health2020

Digital Resilience Biomarkers for Personalized Health Maintenance and Disease Prevention.

Willem van den Brink, Robbert Bloem, Adithya Ananth, Thiru Kanagasabapathi, Arjen Amelink, Jildau Bouwman, Gerwin Gelinck, Sjaak van Veen, Andre Boorsma, Suzan Wopereis

Abstract readReview
In one paragraph

Review in Frontiers in digital health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Digital health-high tech or high touch?Wiener medizinische Wochenschrift (1946) · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Digital Phenotyping in Livestock Farming.Animals : an open access journal from MDPI · 2021
    Review
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Willem van den BrinkDepartment of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Zeist, Netherlands.
Robbert BloemDepartment of Environmental Modeling Sensing and Analysis, Netherlands Organization for Applied Scientific Research (TNO), Utrecht, Netherlands.
Adithya AnanthDepartment of Optics, Netherlands Organization for Applied Scientific Research (TNO), Delft, Netherlands.
Thiru KanagasabapathiHolst Center, Netherlands Organization for Applied Scientific Research (TNO), Eindhoven, Netherlands.
Arjen AmelinkDepartment of Optics, Netherlands Organization for Applied Scientific Research (TNO), Delft, Netherlands.
Jildau BouwmanDepartment of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Zeist, Netherlands.
Gerwin GelinckHolst Center, Netherlands Organization for Applied Scientific Research (TNO), Eindhoven, Netherlands.
Sjaak van VeenDepartment of Environmental Modeling Sensing and Analysis, Netherlands Organization for Applied Scientific Research (TNO), Utrecht, Netherlands.
Andre BoorsmaDepartment of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Zeist, Netherlands.
Suzan WopereisDepartment of Microbiology and Systems Biology, Netherlands Organization for Applied Scientific Research (TNO), Zeist, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health maintenance and disease prevention strategies become increasingly prioritized with increasing health and economic burden of chronic, lifestyle-related diseases. A key element in these strategies is the empowerment of individuals to control their health. Self-measurement plays an essential role in achieving such empowerment. Digital measurements have the advantage of being measured non-invasively, passively, continuously, and in a real-world context. An important question is whether such measurement can sensitively measure subtle disbalances in the progression toward disease, as well as the subtle effects of, for example, nutritional improvement. The concept of resilience biomarkers, defined as the dynamic evaluation of the biological response to an external challenge, has been identified as a viable strategy to measure these subtle effects. In this review, we explore the potential of integrating this concept with digital physiological measurements to come to digital resilience biomarkers. Additionally, we discuss the potential of wearable, non-invasive, and continuous measurement of molecular biomarkers. These types of innovative measurements may, in the future, also serve as a digital resilience biomarker to provide even more insight into the personal biological dynamics of an individual. Altogether, digital resilience biomarkers are envisioned to allow for the measurement of subtle effects of health maintenance and disease prevention strategies in a real-world context and thereby give personalized feedback to improve health.

Indexed as

digital biomarkerlifestyle interventionoptical sensingpreventionresiliencewearable sensors

Identifiers

PMID34713076
PMCPMC8521930

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.