Evidence map›Paper›PMID 34095711›Full record

ReviewJCO precision oncology2021

Integrating Somatic and Germline Next-Generation Sequencing Into Routine Clinical Oncology Practice.

J Kevin Hicks, Rachel Howard, Phillip Reisman, Jacob J Adashek, Karen K Fields, Jhanelle E Gray, Bryan McIver, Kelly McKee, Mandy F O'Leary, Randa M Perkins and 5 more

Abstract readReview
In one paragraph

Review in JCO precision oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Trial
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  3. Identification ofOncology research · 2026
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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

15 authors.

J Kevin HicksDepartment of Individualized Cancer Management, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.ORCID 0000-0003-2314-0164
Rachel HowardDepartment of Health Informatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
Phillip ReismanDepartment of Health Informatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
Jacob J AdashekDepartment of Internal Medicine, University of South Florida, Tampa, FL.ORCID 0000-0003-4272-312X
Karen K FieldsDepartment of Oncologic Sciences, University of South Florida, Tampa, FL.
Jhanelle E GrayDepartment of Oncologic Sciences, University of South Florida, Tampa, FL.
Bryan McIverDepartment of Oncologic Sciences, University of South Florida, Tampa, FL.
Kelly McKeeDepartment of Clinical Pathways, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
Mandy F O'LearyDepartment of Oncologic Sciences, University of South Florida, Tampa, FL.
Randa M PerkinsDepartment of Oncologic Sciences, University of South Florida, Tampa, FL.
Edmondo RobinsonDepartment of Oncologic Sciences, University of South Florida, Tampa, FL.
Ankita TandonDepartment of Internal Medicine, University of South Florida, Tampa, FL.
Jamie K TeerDepartment of Oncologic Sciences, University of South Florida, Tampa, FL.ORCID 0000-0003-4513-0282
Joseph MarkowitzDepartment of Oncologic Sciences, University of South Florida, Tampa, FL.
Dana E RollisonDepartment of Oncologic Sciences, University of South Florida, Tampa, FL.

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

Next-generation sequencing (NGS) is rapidly expanding into routine oncology practice. Genetic variations in both the cancer and inherited genomes are informative for hereditary cancer risk, prognosis, and treatment strategies. Herein, we focus on the clinical perspective of integrating NGS results into patient care to assist with therapeutic decision making. Five key considerations are addressed for operationalization of NGS testing and application of results to patient care as follows: (1) NGS test ordering and workflow design; (2) result reporting, curation, and storage; (3) clinical consultation services that provide test interpretations and identify opportunities for molecularly guided therapy; (4) presentation of genetic information within the electronic health record; and (5) education of providers and patients. Several of these key considerations center on informatics tools that support NGS test ordering and referencing back to the results for therapeutic purposes. Clinical decision support tools embedded within the electronic health record can assist with NGS test utilization and identifying opportunities for targeted therapy including clinical trial eligibility. Challenges for project and change management in operationalizing NGS-supported, evidence-based patient care in the context of current information technology systems with appropriate clinical data standards are discussed, and solutions for overcoming barriers are provided.

Indexed as

Germ CellsHigh-Throughput Nucleotide SequencingClinical Decision-MakingHumansMedical OncologyNeoplasmsPractice Patterns, Physicians'

Identifiers

PMID34095711
PMCPMC8169076

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.