Evidence map›Paper›PMID 24493507›Full record

ArticleChest2014

Grappling with genomic incidental findings in the clinical realm.

Sara Chandros Hull, Benjamin E Berkman

Abstract read
In one paragraph

Article in Chest, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Sara Chandros HullOffice of the Clinical Director, National Human Genome Research Institute. Electronic address: shull@mail.nih.gov.
Benjamin E BerkmanOffice of the Clinical Director, National Human Genome Research Institute; Department of Bioethics, Clinical Center, National Institutes of Health, Bethesda, MD.

Funding

NHGRI/DIR Bioethics CoreZIDHG200347 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BERKMAN, BENJAMIN · 2010 to 2025
$15.5M
Intramural NIH HHS
6 · The paper itself

Abstract

We have learned a remarkable amount in recent decades about genomics and its potential contributions to human health and medical practice. However, genomic sequencing technology, which is starting to become incorporated into clinical care, also raises ethical challenges. In particular, there has been significant debate about the appropriate management of genomic incidental findings (GIFs), which we define as pathogenic or likely pathogenic test results that are not apparently relevant to the diagnostic indications for which the tests were ordered. Although there is an emerging consensus that clinicians will have at least some obligation to disclose GIFs to patients, the scope of that obligation is unclear. This commentary identifies nuanced issues that clinicians will likely face in the foreseeable future regarding their emerging obligations to disclose clinically actionable GIFs. Will clinicians be expected to look actively for GIFs? Should GIFs for adult-onset disorders be disclosed to children? What obligations will clinicians have to disclose GIFs to family members of deceased patients? What role should informed consent play? There is value to exploring the range of views on these questions at this time, before genomic sequencing has fully matured as a technology, so that clinicians can anticipate how they will respond to the discovery of GIFs once sequencing becomes a more routine part of clinical care. Genomics is ultimately going to play an important role in the practice of pulmonary medicine, and it is important for pulmonologists and other subspecialists to be well informed about what to expect.

Indexed as

Incidental FindingsAge FactorsDisclosureFamilyGenetic TestingGenomicsHumansInformed ConsentLung Diseases

Identifiers

PMID24493507
PMCPMC3913297

What OpenQuestion holds

Textmetadata
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.