Evidence map›Paper›PMID 25659725›Full record

ReviewBest practice & research. Clinical haematology2015

MDS prognostic scoring systems – past, present, and future.

Brian A Jonas, Peter L Greenberg

Open access · greenAbstract readReview
In one paragraph

Review in Best practice & research. Clinical haematology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.9field-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

15 citing papers in PubMed, 54 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Gut Microbiota Composition Correlates with Disease Severity in Myelodysplastic Syndrome.International journal of hematology-oncology and stem cell research · 2024
    Article
  6. Article
  7. Review
  8. Patient stratification in myelodysplastic syndromes: how a puzzle may become a map.Hematology. American Society of Hematology. Education Program · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Myelodysplastic Syndrome in Pakistan: Clinicohematological Characteristics, Cytogenetic Profile, and Risk Stratification.Turkish journal of haematology : official journal of Turkish Society of Haematology · 2018
    Article
  13. Review
  14. Article
  15. 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

2 authors at 2 institutions in 1 country.

Brian A JonasDepartment of Internal Medicine, Division of Hematology and Oncology, University of California Davis School of Medicine, UC Davis Comprehensive Cancer Center, 4501 X Street, Suite 3016, Sacramento, CA 95817, United States. Electronic address: brian.jonas@ucdmc.ucdavis.edu.
Peter L GreenbergDepartment of Internal Medicine, Division of Hematology, Stanford University School of Medicine, Stanford Comprehensive Cancer Center, 875 Blake Wilbur Drive, Stanford, CA 94305, United States. Electronic address: peterg@stanford.edu.
Stanford University · USUC Davis Comprehensive Cancer Center

Funding

UC Davis Paul Calabresi K12 Clinical Oncology Research Career Development ProgramK12CA138464 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BIRKELAND, ANDREW CHARLES, LARA, PRIMO N. · 2011 to 2025
$11.4M
NCI NIH HHS K12 CA138464
6 · The paper itself

Abstract

The myelodysplastic syndromes (MDS) are a heterogeneous group of clonal myeloid haemopathies characterized by defective differentiation of haematopoietic cells and expansion of the abnormal clone. This leads to bone marrow failure with the resulting peripheral blood cytopenias and evolution to or toward acute myeloid leukaemia that characterize MDS clinically. The clinical heterogeneity of MDS has led several groups to analyze patient and clinical characteristics to develop prognostic scoring systems yielding estimates of overall and leukaemia-free survival to guide clinical decision-making. These models have evolved over time as our understanding of the pathogenesis, natural history, and treatment of MDS has improved. Rapid advances in flow cytometric analysis, adjuncts to standard metaphase cytogenetics, and gene mutation analysis are revolutionizing our understanding of MDS pathogenesis and prognosis. Despite the existence of multiple well-validated prognostic scoring systems, further refinements of current models with these new sources of prognostic data are needed and are described herein.

Indexed as

Research DesignAntineoplastic AgentsBone Marrow CellsCell ProliferationDisease ProgressionGene ExpressionHumansImmunophenotypingKaryotypingLeukemia, Myeloid, AcuteMutationMyelodysplastic SyndromesNeoplasm ProteinsPrognosisSurvival AnalysisAntineoplastic AgentsNeoplasm Proteinscytogeneticsflow cytometrygene expressionmutationsmyelodysplastic syndromesprognosis

Identifiers

PMID25659725
PMCPMC4324398
OpenAlexW1982190197

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.