Evidence map›Paper›PMID 23872706›Full record

ArticleBlood cancer journal2013

Lessons from next-generation sequencing analysis in hematological malignancies.

E Braggio, J B Egan, R Fonseca, A K Stewart

Abstract read
In one paragraph

Article in Blood cancer journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Current Role of Genetics in Hematologic Malignancies.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2016
    Review
  16. Review
  17. Article
  18. Emerging technologies in paediatric leukaemia.Translational pediatrics · 2015
    Review
  19. Cancer stem cells in haematological malignancies.Contemporary oncology (Poznan, Poland) · 2015
    Review
  20. 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.

E BraggioMayo Clinic in Arizona, 13400 East Shea Boulevard, Scottsdale, AZ, USA.
J B Egan
R Fonseca
A K Stewart

Funding

ECOG OPERATIONS OFFICE (IBCSG)U10CA021115 · NCI · UNIVERSITY OF WISCONSIN MADISON · PI COMIS, ROBERT L · 1985 to 2013
$132.6M
TISSUE BANK AND CLINICAL/LABORATORY DATABASEP01CA062242 · NCI · MAYO CLINIC ROCHESTER · PI THERNEAU, TERRY M · 1994 to 2009
$12.9M
CHROMOSOMAL ABNORMALITIES IN MYELOMA AS DETECTED BY FISHR01CA083724 · NCI · MAYO CLINIC COLL OF MEDICINE, ROCHESTER · PI FONSECA, RAFAEL · 2000 to 2013
$4.0M
A Genome Wide RNAi Vulnerability Map for MyelomaR01CA133115 · NCI · MAYO CLINIC ARIZONA · PI STEWART, ALEXANDER KEITH · 2008 to 2012
$1.3M
NCI NIH HHS P01 CA062242NCI NIH HHS R01 CA083724NCI NIH HHS R01 CA133115NCI NIH HHS U10 CA021115
6 · The paper itself

Abstract

Next-generation sequencing has led to a revolution in the study of hematological malignancies with a substantial number of publications and discoveries in the last few years. Significant discoveries associated with disease diagnosis, risk stratification, clonal evolution and therapeutic intervention have been generated by this powerful technology. As part of the post-genomic era, sequencing analysis will likely become part of routine clinical testing and the challenge will ultimately be successfully transitioning from gene discovery to preventive and therapeutic intervention as part of individualized medicine strategies. In this report, we review recent advances in the understanding of hematological malignancies derived through genome-wide sequence analysis.

Identifiers

PMID23872706
PMCPMC3730204

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.