Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A Prognostic Model of Therapy-Related Myelodysplastic Syndrome for Predicting Survival and Transformation to Acute Myeloid Leukemia

6 May 2014

Abstract excerpt

No abstract is available from the source.

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Acute Myeloid Leukemia Research
Share to Chronic Myeloid Leukemia Treatments
Share to Retinoids in leukemia and cellular processes

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 24875590
DOI: 10.1016/j.clml.2014.03.001

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A Prognostic Model of Therapy-Related Myelodysplastic Syndrome for Predicting Survival and Transformation to Acute Myeloid LeukemiaPMID 24875590Read ↗

The trajectory of prognostication and risk stratification for patients with myelodysplastic syndromes.Semantic proximity Read ↗

Novel Prognostic Models for Myelodysplastic Syndromes.Semantic proximity Read ↗

Mayo Alliance Prognostic Model for Myelodysplastic Syndromes: Integration of Genetic and Clinical Information.Semantic proximity Read ↗

Outcome prediction in myelodysplastic neoplasm undergoing hematopoietic cell transplant in the molecular era of IPSS-MSemantic proximity Read ↗

Updates in Risk Stratification in Myelodysplastic Syndromes.Semantic proximity Read ↗

The myelodysplastic syndromes: diagnosis, molecular biology and risk assessment.Semantic proximity Read ↗

Adding molecular data to prognostic models can improve predictive power in treated patients with myelodysplastic syndromes.Semantic proximity Read ↗

Integration of genomic and clinical variables improves the prediction of myelodysplastic syndromes to acute myeloid leukaemia transformation and prognosis.Semantic proximity Read ↗

Advances in Diagnosis and Risk Stratification of Acute Myeloid Leukemia and Myelodysplastic Syndromes.Semantic proximity Read ↗

Clinico-genetic and prognostic analyses of 716 patients with primary myelodysplastic syndrome and myelodysplastic syndrome/acute myeloid leukemia based on the 2022 International Consensus Classification.Semantic proximity Read ↗

Clinical and genetic predictors of prognosis in myelodysplastic syndromesSemantic proximity Read ↗

[Molecular international prognostic scoring system for myelodysplastic syndromes].Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.