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

Identifying Determinants of Survival Disparities in Multiple Myeloma Patients Using Electronic Health Record Data.

Studies in health technology and informatics - 25 Jan 2024

Cui Wanting, Finkelstein Joseph

Abstract excerpt

Multiple myeloma (MM) is one of the most common hematological malignancies. The goal of this study was to analyze the sociodemographic, economic, and genetic characteristics of long-term and short-term survival of multiple myeloma patients using EHR data from an academic medical center in New York City. The de-identified analytical dataset comprised 2,111 patients with MM who were stratified based on the length...

Read the complete abstract on PubMed

Topics

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

Share to Academic Medical Centers
Share to Aged
Share to Black or African American

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Electronic Health Records

Share to Health Status Disparities

Share to Multiple Myeloma

Share to Mutation

Share to Survival Rate

Source

Identifiers

PMID: 38269950
DOI: 10.3233/SHTI231106

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identifying Determinants of Survival Disparities in Multiple Myeloma Patients Using Electronic Health Record Data.PMID 38269950Read ↗

Outcomes of upfront autologous hematopoietic cell transplantation in patients with multiple myeloma who are 75 years old or olderSemantic proximity Read ↗

Racial and ethnic differences in clonal hematopoiesis, tumor markers, and outcomes of patients with multiple myelomaSemantic proximity Read ↗

Real-World Treatment Patterns and Clinical Outcomes in Patients With Multiple Myeloma Previously Treated With Lenalidomide and an Anti-CD38 Monoclonal AntibodySemantic proximity Read ↗

Challenges, Difficulties, and Delayed Diagnosis of Multiple MyelomaSemantic proximity Read ↗

Global patterns and trends in multiple myeloma incidence: Age, period and birth cohort analysisSemantic proximity Read ↗

External phenome analysis enables a rational federated query strategy to detect changing rates of treatment-related complications associated with multiple myeloma.Semantic proximity Read ↗

Time trends in survival and causes of death in multiple myeloma: a population-based study from GermanySemantic proximity Read ↗

Multiple myeloma: patient outcomes in real-world practice.Semantic proximity Read ↗

Real-world results of autologous stem cell transplantation in newly diagnosed multiple myeloma: a report from the Canadian Myeloma Research Group databaseSemantic proximity Read ↗

Treatment outcome of newly diagnosed multiple myeloma patients: A retrospective analysis in a resource-limited settingSemantic proximity Read ↗

Analysis of clinical characteristics and prognostic factors of multiple myeloma: a retrospective single-center study of 787 cases.Semantic proximity Read ↗

Pattern of Use and Efficacy of Daratumumab-based Therapy in Patients With Multiple Myeloma in a Real-world Setting: a Single Institution ExperienceSemantic proximity Read ↗

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