JOURNAL ARTICLE
REVIEW
Add like
Add dislike
Add to saved papers

Making Sense of Prognostic Models in Chronic Myelomonocytic Leukemia.

PURPOSE OF REVIEW: To evaluate established prognostic models in chronic myelomonocytic leukemia (CMML) and describe the challenges associated with their application in clinical practice.

RECENT FINDINGS: CMML is a clonal hematopoietic stem cell disorder with heterogeneous clinical and molecular features. Outcomes of CMML patients can vary from indolent disease with expected survival measured in years versus proliferative subtypes with rapid progression to acute myeloid leukemia and survival measured in months. Several prognostic scoring systems have been developed to risk stratify CMML patients. While all these models are valid, they demonstrate significant predictive heterogeneity. Significant intra-patient (applying different models in the same patient giving rise to different prognostic results) and intra-model (patients in a similar prognostic group by a given model can be reclassified to different risk groups by other models) heterogeneities exist when applying current CMML prognostic models in the clinic. A personalized prediction approach may open new opportunities in risk stratifying patients with CMML and other myeloid malignancies.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app