Evidence map›Paper›PMID 26230957›Full record

ArticleBlood cancer journal2015

An international data set for CMML validates prognostic scoring systems and demonstrates a need for novel prognostication strategies.

E Padron, G Garcia-Manero, M M Patnaik, R Itzykson, T Lasho, A Nazha, R K Rampal, M E Sanchez, E Jabbour, N H Al Ali and 11 more

Abstract read
In one paragraph

Article in Blood cancer journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 1 pooled it
–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

77 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Prognostic implications ofBlood neoplasia · 2026
    Article
  5. Article
  6. Article
  7. Molecular-Based Ecosystem to Improve Personalized Medicine in Chronic Myelomonocytic Leukemia.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Contemporary CMML Risk Stratification and Management.Current hematologic malignancy reports · 2025
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

17 more citing papers are in PubMed but not listed here.

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

21 authors.

E PadronDepartment of Malignant Hematology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
G Garcia-ManeroDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
M M PatnaikDivision of Hematology, Mayo Clinic, Rochester, MN, USA.
R ItzyksonService d'Hematologie, Hopital Avicenne, Bobigny, France.
T LashoDivision of Hematology, Mayo Clinic, Rochester, MN, USA.
A NazhaLeukemia Program, Department of Hematology and Medical Oncology, Cleveland Clinic Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
R K RampalLeukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
M E SanchezLeukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
E JabbourDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
N H Al AliDepartment of Malignant Hematology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Z ThompsonDepartment of Biostatistics, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
S CollaDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
P FenauxService d'Hématologie Séniors, Hôpital St Louis, Université Paris 7, Paris, France.
H M KantarjianDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
S KillickDepartment of Haematology, Royal Bournemouth Hospital, Bournemouth, UK.
M A SekeresLeukemia Program, Department of Hematology and Medical Oncology, Cleveland Clinic Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
A F ListDepartment of Malignant Hematology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
F OnidaFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.
R S KomrokjiDepartment of Malignant Hematology, H Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
A TefferiDivision of Hematology, Mayo Clinic, Rochester, MN, USA.
E SolaryGustave Roussy, INSERM U1170, Villejuif, France.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Genomic profiling and development of murine models of transformation of MPNsK08CA188529 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI RAMPAL, RAAJIT · 2014 to 2018
$891k
NCI NIH HHS K08 CA188529NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Since its reclassification as a distinct disease entity, clinical research efforts have attempted to establish baseline characteristics and prognostic scoring systems for chronic myelomonocytic leukemia (CMML). Although existing data for baseline characteristics and CMML prognostication have been robustly developed and externally validated, these results have been limited by the small size of single-institution cohorts. We developed an international CMML data set that included 1832 cases across eight centers to establish the frequency of key clinical characteristics. Of note, we found that the majority of CMML patients were classified as World Health Organization CMML-1 and that a 7.5% bone marrow blast cut-point may discriminate prognosis with higher resolution in comparison with the existing 10%. We additionally interrogated existing CMML prognostic models and found that they are all valid and have comparable performance but are vulnerable to upstaging. Using random forest survival analysis for variable discovery, we demonstrated that the prognostic power of clinical variables alone is limited. Last, we confirmed the independent prognostic relevance of ASXL1 gene mutations and identified the novel adverse prognostic impact imparted by CBL mutations. Our data suggest that combinations of clinical and molecular information may be required to improve the accuracy of current CMML prognostication.

Indexed as

AdolescentAdultAgedAged, 80 and overDatasets as TopicDecision TreesFemaleGenetic Predisposition to DiseaseHumansInternational CooperationKaplan-Meier EstimateLeukemia, Myelomonocytic, ChronicMaleMiddle AgedMutationPrognosis

Identifiers

PMID26230957
PMCPMC4526779

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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.