Evidence map›Paper›PMID 23930680›Full record

ArticlePharmacogenomics2013

Implications of the incidentalome for clinical pharmacogenomics.

Kyle B Brothers, Martin Langanke, Pia Erdmann

Abstract read
In one paragraph

Article in Pharmacogenomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Advancing Pharmacogenomics from Single-Gene to Preemptive Testing.Annual review of genomics and human genetics · 2022
    Review
  4. Article
  5. Article
  6. Article
  7. Review
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.

Kyle B BrothersKosair Charities Pediatric Clinical Research Unit, Department of Pediatrics, University of Louisville School of Medicine, 231 East Chestnut Street, N-97, Louisville, KY 40202, USA. kyle.brothers@louisville.edu
Martin Langanke
Pia Erdmann

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Repurposing of a Long-Acting Parathyroid Hormone Analog for the Treatment of HypoparathyroidismZIATR000011 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI YANG, NA · 2015 to 2019
$8.2M
Vanderbilt Genome Electronic Records ProjectU01HG006378 · NHGRI · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2011 to 2014
$4.0M
NCATS NIH HHS UL1TR000011NCATS NIH HHS UL1 TR000445NHGRI NIH HHS 1U01HG006378-01NHGRI NIH HHS U01 HG006378
6 · The paper itself

Abstract

Incidental findings have long posed challenges for healthcare providers, but the scope and scale of these challenges have increased with the introduction of new technologies. This article assesses the impact of incidental findings on the introduction of prospective pharmacogenomic testing into clinical use. Focusing on the challenges of the incidentalome, the large set of incidental findings potentially generated through genotyping, the paper argues that provisional approaches to managing incidental findings may be implemented if necessary to allow benefits of pharmacogenomic testing to be realized in the clinical setting. In the longer term, approaches to returning incidental findings may need to focus on limiting the number of incidental findings to a number that can be addressed by patients and providers.

Indexed as

Incidental FindingsPharmacogeneticsGenomicsGenotypeHumansProspective Studies

Identifiers

PMID23930680
PMCPMC3881234

What OpenQuestion holds

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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.