Evidence map›Paper›PMID 29644010›Full record

ReviewOncotarget2018

Value-based genomics.

Jun Gong, Kathy Pan, Marwan Fakih, Sumanta Pal, Ravi Salgia

Abstract readReview
In one paragraph

Review in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Trial
  2. Review
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  7. Article
  8. Unraveling the genetic architecture of asthma.Annals of translational medicine · 2022
    Article
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  11. Article
  12. Review
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  15. Review
  16. Review
  17. Review
  18. Article
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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

5 authors.

Jun GongDepartment of Medical Oncology, City of Hope National Medical Center, Duarte, CA, USA.
Kathy PanLos Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Marwan FakihDepartment of Medical Oncology, City of Hope National Medical Center, Duarte, CA, USA.
Sumanta PalDepartment of Medical Oncology, City of Hope National Medical Center, Duarte, CA, USA.
Ravi SalgiaMedical Oncology and Experimental Therapeutics, City of Hope Comprehensive Cancer Center, Duarte, CA, USA.

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI John Charles Williams · 1985 to 2026
$86.3M
Project 2: Targeting Cooperative Phenotypes Common in Spatial HeterogeneityU54CA209978 · NCI · UNIVERSITY OF UTAH · PI BILD, ANDREA HOPE · 2017 to 2021
$10.5M
NCI NIH HHS P30 CA033572NCI NIH HHS U54 CA209978
6 · The paper itself

Abstract

Advancements in next-generation sequencing have greatly enhanced the development of biomarker-driven cancer therapies. The affordability and availability of next-generation sequencers have allowed for the commercialization of next-generation sequencing platforms that have found widespread use for clinical-decision making and research purposes. Despite the greater availability of tumor molecular profiling by next-generation sequencing at our doorsteps, the achievement of value-based care, or improving patient outcomes while reducing overall costs or risks, in the era of precision oncology remains a looming challenge. In this review, we highlight available data through a pre-established and conceptualized framework for evaluating value-based medicine to assess the cost (efficiency), clinical benefit (effectiveness), and toxicity (safety) of genomic profiling in cancer care. We also provide perspectives on future directions of next-generation sequencing from targeted panels to whole-exome or whole-genome sequencing and describe potential strategies needed to attain value-based genomics.

Indexed as

cost-effectivenessnext-generation sequencingpathwaysprecision oncologyvalue-based care

Identifiers

PMID29644010
PMCPMC5884665

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.