Evidence map›Paper›PMID 30311376›Full record

ArticleHuman mutation2018

Genetic database software as medical devices.

Adrian Thorogood, Seydina B Touré, Johan Ordish, Alison Hall, Bartha Knoppers

Abstract read
In one paragraph

Article in Human mutation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Digital phenotyping and sensitive health data: Implications for data governance.Journal of the American Medical Informatics Association : JAMIA · 2021
    Article
  4. Article
  5. 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

5 authors.

Adrian ThorogoodCentre of Genomics and Policy, McGill University, Montreal, Canada.ORCID 0000-0001-5078-8164
Seydina B TouréCentre of Genomics and Policy, McGill University, Montreal, Canada.
Johan OrdishPHG Foundation, University of Cambridge, Cambridge, UK.
Alison HallPHG Foundation, University of Cambridge, Cambridge, UK.
Bartha KnoppersCentre of Genomics and Policy, McGill University, Montreal, Canada.

Funding

CIHR 141210
6 · The paper itself

Abstract

This article provides a primer on medical device regulations in the United States, Europe, and Canada. Software tools are being developed and shared globally to enhance the accessibility and usefulness of genomic databases. Interactive software tools, such as email or mobile alert systems providing variant classification updates, are opportunities to democratize access to genomic data beyond laboratories and clinicians. Uncertainty over the reliability of outputs, however, raises concerns about potential harms to patients, especially where software is accessible to lay users. Developers may also need to contend with unfamiliar medical device regulations. The application of regulatory controls to genomic software could improve patient and user safety, but could also stifle innovation. Legal uncertainty for developers is compounded where software applications are made available globally (implicating multiple regulatory frameworks), and directly to lay users. Moreover, there is considerable uncertainty over the application of (evolving) medical device regulations in the context of both software and genetics. In this article, criteria and examples are provided to inform determinations of software as medical devices, as well as risk classification. We conclude with strategies for using genomic communication and interpretation software to maximize the availability and usefulness of genetic information, while mitigating the risk of harm to users.

Indexed as

SoftwareDatabases, GeneticGeneticsGenomicsHumansUnited Statesdata sharingEuropean UnionFDAgenomicslawmedical devicepublic genetic variant databasesregulationsoftware

Identifiers

PMID30311376
PMCPMC6221175

What OpenQuestion 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 OpenQuestion graph.