Evidence map›Paper›PMID 31449513›Full record

ReviewClinical advances in hematology & oncology : H&O2019

Next-generation sequencing for the general cancer patient.

Monica Avila, Funda Meric-Bernstam

Abstract readReview
In one paragraph

Review in Clinical advances in hematology & oncology : H&O, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

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

17 citing papers in PubMed.

  1. Article
  2. The silent players: AtypicalOncology reports · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. Basket Trials: Past, Present, and Future.Annual review of cancer biology · 2024
    Article
  7. Article
  8. Article
  9. Basic concepts of cancer genetics and receptor tyrosine kinase inhibition for pharmacists. A narrative review.Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners · 2023
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Cancer management and research · 2020
    Article
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

2 authors.

Monica AvilaThe University of Texas MD Anderson Cancer Center, Houston, Texas.
Funda Meric-BernstamThe University of Texas MD Anderson Cancer Center, Houston, Texas.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Training of Academic Gynecologic OncologistsT32CA101642 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ANIL K SOOD, Kathleen Schmeler · 2005 to 2026
$9.2M
NCI NIH HHS P30 CA016672NCI NIH HHS T32 CA101642
6 · The paper itself

Abstract

Next-generation sequencing is a novel method of DNA sequencing that has become a cornerstone of precision oncology. This sequencing method detects differences in specific DNA sequences between a sample and a reference genome or matched normal DNA. In addition to single-nucleotide variants, other insertions, deletions, copy number changes, and fusions may be drivers of cancer growth, and thus represent therapeutic opportunities. As a result, genomic characterization has been increasingly used to guide treatment decisions, especially in patients with advanced disease. This review discusses the basic technologies involved in next-generation sequencing, the applications of this method, and limitations in the clinical realm.

Indexed as

High-Throughput Nucleotide SequencingSequence Analysis, DNADNA Copy Number VariationsDNA, NeoplasmHumansINDEL MutationNeoplasmsPolymorphism, Single NucleotideDNA, Neoplasm

Identifiers

PMID31449513
PMCPMC6739831

What OpenQuestion holds

Textmetadata
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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.