Evidence map›Paper›PMID 33319814›Full record

ReviewNPJ genomic medicine2020

Clinical utility of genomic sequencing: a measurement toolkit.

Robin Z Hayeems, David Dimmock, David Bick, John W Belmont, Robert C Green, Brendan Lanpher, Vaidehi Jobanputra, Roberto Mendoza, Shashi Kulkarni, Megan E Grove and 3 more

Abstract readReview
In one paragraph

Review in NPJ genomic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  16. Opportunistic genomic screening has clinical utility: An interventional cohort study.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
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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

13 authors.

Robin Z HayeemsProgram in Child Health Evaluative Sciences, The Hospital for Sick Children and the Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, ON, Canada. robin.hayeems@sickkids.ca.
David DimmockRady Children's Hospital Institute for Genomic Medicine, San Diego, CA, USA.ORCID http://orcid.org/0000-0001-6690-2523
David BickHudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.ORCID http://orcid.org/0000-0002-8750-306X
John W BelmontIllumina Inc., San Diego, CA, USA.
Robert C GreenBrigham and Women's Hospital Broad Institute and Harvard Medical School, Boston, MA, USA.
Brendan LanpherMayo Clinic, Rochester, MN, USA.
Vaidehi JobanputraNew York Genome Center, New York, NY, USA.ORCID http://orcid.org/0000-0003-0962-7873
Roberto MendozaThe Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-3542-8106
Shashi KulkarniBaylor Genetics and Baylor College of Medicine, Houston, TX, USA.
Megan E GroveStanford Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-7972-0005
Stacie L TaylorIllumina Inc., San Diego, CA, USA.ORCID http://orcid.org/0000-0001-6843-3505
Euan AshleyStanford Medicine, Stanford, CA, USA.
Medical Genome Initiative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome sequencing (WGS) is positioned to become one of the most robust strategies for achieving timely diagnosis of rare genomic diseases. Despite its favorable diagnostic performance compared to conventional testing strategies, routine use and reimbursement of WGS are hampered by inconsistencies in the definition and measurement of clinical utility. For example, what constitutes clinical utility for WGS varies by stakeholder's perspective (physicians, patients, families, insurance companies, health-care organizations, and society), clinical context (prenatal, pediatric, critical care, adult medicine), and test purpose (diagnosis, screening, treatment selection). A rapidly evolving technology landscape and challenges associated with robust comparative study design in the context of rare disease further impede progress in this area of empiric research. To address this challenge, an expert working group of the Medical Genome Initiative was formed. Following a consensus-based process, we align with a broad definition of clinical utility and propose a conceptually-grounded and empirically-guided measurement toolkit focused on four domains of utility: diagnostic thinking efficacy, therapeutic efficacy, patient outcome efficacy, and societal efficacy. For each domain of utility, we offer specific indicators and measurement strategies. While we focus on diagnostic applications of WGS for rare germline diseases, this toolkit offers a flexible framework for best practices around measuring clinical utility for a range of WGS applications. While we expect this toolkit to evolve over time, it provides a resource for laboratories, clinicians, and researchers looking to characterize the value of WGS beyond the laboratory.

Identifiers

PMID33319814
PMCPMC7738524

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.