Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: May 18, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

Prognostic scoring systems in MDS.

Ulrich Germing1, Andrea Kündgen

  • 1Department of Hematology, Oncology and Clinical Immunology, Heinrich-Heine-University of Duesseldorf, Duesseldorf, Germany. Germing@med.uni-duesseldorf.de

Leukemia Research
|September 18, 2012
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Real-world, multi-omics validation of the clinical relevance of molecular taxonomy for myelodysplastic syndromes (MDS).

HemaSphere·2026
Same author

Prognostic impact of bone marrow iron and serum ferritin in patients with myelodysplastic syndromes.

Annals of hematology·2026
Same author

Mutant IDH1 blocks neutropoiesis by repressing myeloid progenitor programs.

Blood·2026
Same author

How should myelodysplastic neoplasms with isolated deletion 5q and TP53 multihit alterations be classified?

Leukemia·2026
Same author

Influence of different therapy strategies in patients with myelodysplastic neoplasms (MDS) on overall survival with regard to different decades: data from the German MDS registry.

Annals of hematology·2026
Same author

Impact of early tacrolimus exposure on outcomes after allogeneic hematopoietic cell transplantation for acute myeloid leukemia and myelodysplastic syndromes.

Annals of hematology·2026

Prognostic scoring systems help predict myelodysplastic syndromes (MDS) course and guide risk-adapted treatment. Future research should focus on identifying predictive parameters for treatment response and outcomes.

Area of Science:

  • Hematology
  • Oncology
  • Clinical Research

Background:

  • Prognostic scoring systems are crucial for managing myelodysplastic syndromes (MDS).
  • The International Prognostic Scoring System (IPSS) has been a long-standing standard for MDS prognostication.
  • Evolving treatment landscapes necessitate updated prognostic tools.

Purpose of the Study:

  • To review the utility of current prognostic scoring systems in myelodysplastic syndromes (MDS).
  • To highlight the need for predictive parameters in the era of targeted therapies and drug approvals for MDS.
  • To emphasize the future direction of MDS research towards treatment response prediction.

Main Methods:

  • Review of existing literature on prognostic scoring systems in myelodysplastic syndromes (MDS).

More Related Videos

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

Related Experiment Videos

Last Updated: May 18, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

  • Analysis of the evolution and validation of the International Prognostic Scoring System (IPSS).
  • Discussion of the impact of new therapies on prognostic model requirements.

    • Main Results:

    • Established prognostic systems like IPSS provide valuable insights into MDS disease course.
    • Current systems require refinement to incorporate new therapeutic advancements.
    • There is a growing need for predictive models tailored to specific treatments.

    Conclusions:

    • Prognostic scoring systems are essential for risk-stratified treatment in myelodysplastic syndromes (MDS).
    • The development of predictive parameters is paramount for optimizing patient outcomes with novel MDS therapies.
    • Future research must focus on identifying biomarkers and developing scoring systems that predict treatment response.