Evidence map›Paper›PMID 31160354›Full record

SynthesisCold Spring Harbor molecular case studies2019

Implementation of cancer next-generation sequencing testing in a community hospital.

Yassmine Akkari, Tamara Smith, Jennifer Westfall, Stacie Lupo

Abstract readSystematic Review
In one paragraph

Synthesis in Cold Spring Harbor molecular case studies, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
  2. Article
  3. Precision medicine in orthopaedics: A review of current technologies and future directions.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026
    Review
  4. Article
  5. Article
  6. Advances in laboratory medicine · 2025
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. PCR inhibition in qPCR, dPCR and MPS-mechanisms and solutions.Analytical and bioanalytical chemistry · 2020
    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

4 authors.

Yassmine AkkariDepartment of Molecular Diagnostics, Legacy Laboratory Services, Legacy Health, Portland, Oregon 97232, USA.
Tamara SmithDepartment of Molecular Diagnostics, Legacy Laboratory Services, Legacy Health, Portland, Oregon 97232, USA.
Jennifer WestfallDepartment of Molecular Diagnostics, Legacy Laboratory Services, Legacy Health, Portland, Oregon 97232, USA.
Stacie LupoDepartment of Molecular Diagnostics, Legacy Laboratory Services, Legacy Health, Portland, Oregon 97232, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the current era of personalized medicine, the field of oncology is witnessing a paradigm shift in patient care that is driving a tighter integration of genomic analysis modalities in patient care decision. This is driven by the expanding category of targeted therapies that require a broader understanding of the mutational profile of patient samples to more precisely guided personalized treatment decisions. Next-generation sequencing (NGS) has proved to be of tremendous power in detecting and characterizing a broad spectrum of activating or loss-of-function mutations across many gene targets. This power of NGS also results in significant challenges related to technical expertise, bioinformatics, computing infrastructure, laboratory practices, and integration into clinical decision-making. These challenges are particularly relevant to smaller and mid-tier hospital networks that are faced with the need to modernize their clinical practices and offer their patients access to advanced genomic technologies to improve outcomes. Adoption of such personalized medicine relies on information about a patient's cancer genome and the identification of its variants. This is best achieved using NGS. However, there are challenges to the adoption of such a complex technology and workflow, especially in smaller hospital systems. This commentary summarizes key considerations and challenges related to implementation of NGS in a community hospital setting.

Indexed as

Computational BiologyMedical OncologyPrecision MedicineGenomicsHigh-Throughput Nucleotide SequencingHospitals, CommunityHumansMutationNeoplasmsSequence Analysis, DNA

Identifiers

PMID31160354
PMCPMC6549547

What OpenQuestion holds

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LicenceCC BY
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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.