Evidence map›Paper›PMID 27865175›Full record

ArticleBlood cells, molecules & diseases2016

JAK2

Chi Hua Sarah Lin, Kenneth Kaushansky, Huichun Zhan

Open access · greenAbstract read
In one paragraph

Article in Blood cells, molecules & diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

22 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. In Vitro Modeling of Non-Solid Tumors: How Far Can Tissue Engineering Go?International journal of molecular sciences · 2020
    Review
  12. The marrow stem cell niche in normal and malignant hematopoiesis.Annals of the New York Academy of Sciences · 2020
    Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Haematologica · 2018
    Article
  19. Review
  20. 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

3 authors at 3 institutions in 1 country.

Chi Hua Sarah LinDepartment of Medicine, Division of Hematology-Oncology, Stony Brook University, Stony Brook, NY, USA.
Kenneth KaushanskyOffice of the Sr. Vice President, Health Sciences, Stony Brook Medicine, NY, USA.
Huichun ZhanDepartment of Medicine, Division of Hematology-Oncology, Stony Brook University, Stony Brook, NY, USA; Northport VA Medical Center, Northport, NY, USA. Electronic address: Huichun.Zhan@stonybrookmedicine.edu.
Northport VA Medical Center · USStony Brook Medicine · USStony Brook University · US

Funding

MOLECULAR AND CELLULAR BIOLOGY OF THROMBOPOIETINR01DK049855 · NIDDK · UNIVERSITY OF WASHINGTON · PI GEDDIS, AMY E, KAUSHANSKY, KENNETH · 1995 to 2013
$5.0M
MicroRNA Deregulation in JAK2V617F-positive Chronic Myeloid NeoplasmsIK2BX001559 · VA · NORTHPORT VA MEDICAL CENTER · PI ZHAN, HUICHUN · 2012 to 2016
–
BLRD VA IK2 BX001559NIDDK NIH HHS R01 DK049855
6 · The paper itself

Abstract

The myeloproliferative neoplasms (MPNs) are characterized by hematopoietic stem/progenitor cell (HSPC) expansion and overproduction of blood cells. The acquired mutation JAK2

Indexed as

AnimalsCell ProliferationCoculture TechniquesEndothelial CellsHumansJanus Kinase 2MiceMutation, MissenseMyeloproliferative DisordersNeoplasmsNeovascularization, PathologicReceptors, ThrombopoietinStem Cell NicheJAK2 protein, humanJanus Kinase 2MPL protein, humanReceptors, ThrombopoietinEndothelial cellsHematopoietic stem/progenitor cellsJAK2(V617F)MicroenvironmentMPLMyeloproliferative neoplasms

Identifiers

PMID27865175
PMCPMC5135612
OpenAlexW2548099047

What OpenQuestion holds

Textmetadata
LicenceTDM
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.