Evidence map›Paper›PMID 35085005›Full record

ArticleJCO precision oncology2022

Clinical Utility of Genomic Testing in Cancer Care.

Daryl Pritchard, Clifford Goodman, Lincoln D Nadauld

Abstract read
In one paragraph

Article in JCO precision oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Pooled it
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  4. Targeting tumor transition windows.Exploration of targeted anti-tumor therapy · 2026
    Review
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  12. Recommendations for pharmacogenetic testing in clinical practice guidelines in the US.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2024
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Evolution of predictive risk factor analysis for chemotherapy-related toxicity.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Review
  19. Article
  20. 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.

Daryl PritchardPersonalized Medicine Coalition, Washington, DC.ORCID 0000-0003-2675-0371
Clifford GoodmanThe Lewin Group, Falls Church, VA.
Lincoln D NadauldPrecision Health and Genomics, Intermountain Healthcare, Salt Lake City, UT.ORCID 0000-0002-1935-4998

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn the era of personalized medicine, physicians rely on their understanding of clinical utility to assess the value of rapidly evolving genetic and genomic tests. Current definitions of the clinical utility of genetic testing sufficiently capture a range of benefits and risks that derive from positive and negative results of tests that assess one gene or a few genes. However, these definitions of clinical utility are inadequate to recognize the wider scope of benefits that accrue from more comprehensive genomic tests, which can develop data sets that inform clinical decision making as well as population health and scientific advancement in novel ways.

methodsAn expert roundtable discussion with leaders from multiple sectors of the health care ecosystem was convened to develop a contemporary, fuller definition of the clinical utility of genomic testing in cancer care.

resultsWe present an updated definition and offer recommendations for successful implementation.

conclusionApplying this expanded definition will encourage evidence-based use of genomic testing in cancer care by helping physicians and other health care decision makers account for the broader range of benefits and risks of testing for individual patients, health systems, population health, and scientific advancement.

Indexed as

Genetic TestingGenetic ProfileHumansNeoplasms

Identifiers

PMID35085005
PMCPMC8830511

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.