Evidence map›Paper›PMID 40613931›Full record

ReviewCurrent hematologic malignancy reports2025

Contemporary CMML Risk Stratification and Management.

Dahniel Sastow, Arjun Syal, Douglas Tremblay

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hematologic malignancy reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Dahniel SastowDivision of Hematology and Medical Oncology, Tisch Cancer Institute Icahn School of Medicine, Mount Sinai 1470 Madison Avenue, New York, NY, 10029, USA.
Arjun SyalDepartment of Internal Medicine, Mount Sinai Morningside and West Icahn School of Medicine, Mount Sinai 1000 10Th Ave, New York, NY, 10019, USA.
Douglas TremblayDivision of Hematology and Medical Oncology, Tisch Cancer Institute Icahn School of Medicine, Mount Sinai 1470 Madison Avenue, New York, NY, 10029, USA. douglas.tremblay@mssm.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewChronic myelomonocytic leukemia (CMML), a rare myelodysplastic/myeloproliferative neoplasm (MDS/MPN) overlap syndrome, poses diagnostic and therapeutic challenges due to its heterogeneity and rarity. This review highlights updates to CMML diagnostic criteria, examines risk stratification models and their clinical implications, and outlines both established and emerging therapies for this rare and likely underrecognized hematologic malignancy. RECENT

findingsUpdated diagnostic criteria from 2022 reduce the monocyte threshold to 0.5 × 10⁹/L for CMML diagnosis, which will reclassify many cases previously diagnosed as MDS. Risk stratification models continue to be refined allowing for improved prediction and may help select appropriate patients for allogeneic stem cell transplantation, the only curative therapeutic modality in CMML. Although trials in CMML were long relegated to subpopulation of MDS studies, there has recently been a flourishing of novel therapies being tested specifically in CMML. These include lenzilumab (anti-GM-CSF) and IO-202 (anti-LILRB4), which have demonstrated promising early efficacy signals but require further study. Established treatments, which include hypomethylating agents and hydroxyurea as well as the JAK1/2 inhibitor ruxolitinib, provide limited survival benefits in CMML, underscoring the urgent need for novel therapeutic development. Coordinated dedicated research efforts have started to evaluate new agents in CMML. Along with further diagnostic and prognostic refinement, these advances are welcomed for this rare and heterogenous disease.

Indexed as

Leukemia, Myelomonocytic, ChronicDisease ManagementHematopoietic Stem Cell TransplantationHumansPrognosisRisk AssessmentCMMLDiagnostic criteriaEmerging treatmentRisk stratification

Identifiers

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.