Evidence map›Paper›PMID 28408614›Full record

ArticleThe oncologist2017

Clinical Variant Classification: A Comparison of Public Databases and a Commercial Testing Laboratory.

William Gradishar, KariAnne Johnson, Krystal Brown, Erin Mundt, Susan Manley

Abstract read
In one paragraph

Article in The oncologist, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Clinical implications of conflicting variant interpretations in the cancer genetics clinic.Genetics in medicine : official journal of the American College of Medical Genetics · 2023
    Article
  4. Review
  5. Regulation of Laboratory-Developed Tests in Preventive Oncology: Emerging Needs and Opportunities.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Implementing the VMC Specification to Reduce Ambiguity in Genomic Variant Representation.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Inherited Cancer in the Age of Next-Generation Sequencing.Biological research for nursing · 2018
    Review
  19. Observed frequency and challenges of variant reclassification in a hereditary cancer clinic.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

William GradisharFeinberg School of Medicine, Northwestern University, Chicago, Illinois, USA w-gradishar@northwestern.edu.
KariAnne JohnsonFeinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Krystal BrownFeinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Erin MundtFeinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Susan ManleyFeinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a growing move to consult public databases following receipt of a genetic test result from a clinical laboratory; however, the well-documented limitations of these databases call into question how often clinicians will encounter discordant variant classifications that may introduce uncertainty into patient management. Here, we evaluate discordance in MATERIALS AND

methods

resultsFour thousand two hundred and fifty unique

conclusionHere, we show that discrepant classifications between a public database and single reference laboratory potentially account for 26.7% of variants in IMPLICATIONS FOR PRACTICE: With the increasing use of clinical genetic testing for hereditary cancer risk, accurate variant classification is vital to ensuring appropriate medical management. There is a growing move to consult public databases following receipt of a genetic test result from a clinical laboratory; however, we show that up to 26.7% of variants in

Indexed as

Databases, GeneticGenetic VariationBRCA1 ProteinBRCA2 ProteinFemaleGenetic TestingHumansLaboratoriesBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanBRCA1BRCA2Genetic testingPublic databasesVariant classification

Identifiers

PMID28408614
PMCPMC5507641

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.