Evidence map›Paper›PMID 30504301›Full record

ReviewHematology. American Society of Hematology. Education Program2018

The new tool "

William Shomali, Jason Gotlib

Open access · bronzeAbstract readReview
In one paragraph

Review in Hematology. American Society of Hematology. Education Program, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Avapritinib for the treatment of KIT mutation-negative systemic mastocytosis.Proceedings (Baylor University. Medical Center) · 2023
    Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Avapritinib in the Treatment of Systemic Mastocytosis: an Update.Current hematologic malignancy reports · 2021
    Review
  13. Article
  14. Avapritinib for Systemic Mastocytosis.Expert review of hematology · 2021
    Article
  15. Review
  16. 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

2 authors at 1 institution in 1 country.

William ShomaliDivisions of Hematology and.
Jason GotlibDivisions of Hematology and.
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mastocytosis is a rare disease characterized by KIT-driven expansion and accumulation of neoplastic mast cells in various tissues. Although mediator symptoms related to mast cell activation can impose a symptom burden in cutaneous disease and across the spectrum of systemic mastocytosis subtypes, the presence of an associated hematologic neoplasm and/or organ damage denotes advanced disease and the potential for increased morbidity and mortality. In addition to the revised 2016 World Health Organization classification of mastocytosis, a new diagnostic and treatment toolkit, tethered to enhanced molecular characterization and monitoring, is poised to transform the management of patients with advanced systemic mastocytosis (advSM). Although the efficacy of midostaurin and novel selective KIT D816V inhibitors, such as avapritinib (BLU-285), have validated KIT as a therapeutic target, the clinical and biologic heterogeneity of advSM requires that we reimagine the blueprint for tackling these diseases and use tools that move beyond KIT-centric approaches.

Indexed as

Amino Acid SubstitutionAntineoplastic AgentsHumansMastocytosis, SystemicMutation, MissenseProtein Kinase InhibitorsProto-Oncogene Proteins c-kitAntineoplastic AgentsKIT protein, humanProtein Kinase InhibitorsProto-Oncogene Proteins c-kit

Identifiers

PMID30504301
PMCPMC6245986
OpenAlexW2902984185

What OpenQuestion holds

Textmetadata
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.