Evidence map›Paper›PMID 31093889›Full record

ReviewCurrent hematologic malignancy reports2019

Chronic Myelomonocytic Leukemia: 2018 Update to Prognosis and Treatment.

Hany Elmariah, Amy E DeZern

Abstract readHistorical ArticleReview
PubMed Publisher
In one paragraph

Review in Current hematologic malignancy reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Mouse Models of CMML.International journal of molecular sciences · 2021
    Review
  5. Review
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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 2 institutions in 1 country.

Hany ElmariahDepartment of Blood and Marrow Transplantation and Cellular Immunotherapy, H. Lee Moffitt Cancer Center, Tampa, FL, USA.
Amy E DeZernDivision of Hematologic Malignancies, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, The Johns Hopkins University School of Medicine, Baltimore, MD, USA. adezern1@jhmi.edu.
Johns Hopkins University · USMoffitt Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewChronic myelomonocytic leukemia (CMML) is a rare and often aggressive myeloid malignancy. Historically, prognostic markers and therapeutic paradigms have been applied from myelodysplastic syndromes (MDS) or myeloproliferative neoplasms (MPNs). Interest has increased recently in developing tailored approaches for the MDS/MPN overlap syndrome of CMML. RECENT

findingsMultiple prognostic scores have been validated specifically for CMML in the past 5 years. These incorporate somatic mutations, with ASXL1 mutations repeatedly correlating with poor prognosis. Accurate prognostication can guide treatment. Hypomethylating agents (HMAs) and curative allogeneic blood or marrow transplantation (BMT) remain the most available standard treatments. Recently, a number of novel approaches using unapproved therapies (i.e., lenalidomide, ruxolitinib, sotatercept, and tipifarnib) have demonstrated some efficacy in CMML. Increased recognition and interest in CMML have led to the development of a number of new prognostic models and potential treatment options. Standard treatment options remain limited and clinical trials should be strongly considered whenever available.

Indexed as

History, 20th CenturyHumansLeukemia, Myelomonocytic, ChronicPrognosisAllogeneic BMTASXL1Chronic myelomonocytic leukemia (CMML)CPSSHypomethylating agentsMayo prognostic model

Identifiers

PMID31093889
OpenAlexW2945267905

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.