Evidence map›Paper›PMID 29257733›Full record

ArticleOmics : a journal of integrative biology2017

What Is Trust? Ethics and Risk Governance in Precision Medicine and Predictive Analytics.

Afua Adjekum, Marcello Ienca, Effy Vayena

Abstract read
In one paragraph

Article in Omics : a journal of integrative biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Beyond mistrust: Diverse biobanking preferences among parents and adolescents with sickle cell disease.Genetics in medicine : official journal of the American College of Medical Genetics · 2026
    Article
  2. Review
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  10. Before and beyond trust: reliance in medical AI.Journal of medical ethics · 2022
    Article
  11. Article
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  14. A governance model for the application of AI in health care.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  15. Article
  16. Article
  17. Importance of Participant-Centricity and Trust for a Sustainable Medical Information Commons.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2019
    Article
  18. Hopeful and Concerned: Public Input on Building a Trustworthy Medical Information Commons.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2019
    Article
  19. Genomic Data-Sharing Practices.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2019
    Article
  20. Elements of Trust in Digital Health Systems: Scoping Review.Journal of medical Internet research · 2018
    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

3 authors.

Afua AdjekumHealth Ethics and Policy Lab , ETH Zurich, Zurich, Switzerland .
Marcello IencaHealth Ethics and Policy Lab , ETH Zurich, Zurich, Switzerland .
Effy VayenaHealth Ethics and Policy Lab , ETH Zurich, Zurich, Switzerland .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trust is a ubiquitous term used in emerging technology (e.g., Big Data, precision medicine), innovation policy, and governance literatures in particular. But what exactly is trust? Even though trust is considered a critical requirement for the successful deployment of precision medicine initiatives, nonetheless, there is a need for further conceptualization with regard to what qualifies as trust, and what factors might establish and sustain trust in precision medicine, predictive analytics, and large-scale biology. These new fields of 21st century medicine and health often deal with the "futures" and hence, trust gains a temporal and ever-present quality for both the present and the futures anticipated by new technologies and predictive analytics. We address these conceptual gaps that have important practical implications in the way we govern risk and unknowns associated with emerging technologies in biology, medicine, and health broadly. We provide an in-depth conceptual analysis and an operative definition of trust dynamics in precision medicine. In addition, we identify three main types of "trust facilitators": (1) technical, (2) ethical, and (3) institutional. This three-dimensional framework on trust is necessary to building and maintaining trust in 21st century knowledge-based innovations that governments and publics invest for progressive societal change, development, and sustainable prosperity. Importantly, we analyze, identify, and deliberate on the dimensions of precision medicine and large-scale biology that have carved out trust as a pertinent tool to its success. Moving forward, we propose a "points to consider" on how best to enhance trust in precision medicine and predictive analytics.

Indexed as

Risk ManagementHumansPrecision Medicinebig dataethicsprecision medicinepredictive analyticsrisk governancetrust

Identifiers

PMID29257733
PMCPMC5737145

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.