ArticleAnnals of hematology2023
Characteristics of inpatients with newly diagnosed multiple myeloma in hematology, nephrology, and orthopedic departments.
Article in Annals of hematology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- Development and temporal validation of a machine learning-based model for predicting renal impairment in multiple myeloma: a single-center retrospective cohort study.BMC medical informatics and decision making · 2026Article
- Adhesion of Immunoglobulins to Band3 Promotes Increased Erythrocyte Sedimentation Rate in Multiple Myeloma.Cell proliferation · 2026Article
- A differential diagnostic model based on immunological evaluation and routine laboratory tests: distinguishing multiple myeloma from other disorders with aberrant immunoglobulin elevation.Discover oncology · 2025Article
- Analysis of skeletal pain, general symptoms and patient-reported outcome measures and their value in detecting symptomatic progression - An interdisciplinary prospective study in patients with multiple myeloma.Journal of bone oncology · 2025Article
- A short-term prognostic model based on urinary IgG, COAmerican journal of cancer research · 2025Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To describe the characteristics of multiple myeloma (MM) by retrospectively analyzing data from patients with MM in hematology, nephrology, and orthopedic departments, we selected inpatients diagnosed with MM for the first time who were admitted to the hematology department of Taizhou Hospital of Zhejiang Province between January 1, 2017, and June 30, 2021 ([Formula: see text]) and those admitted to the nephrology ([Formula: see text]) and orthopedic ([Formula: see text]) departments of Taizhou Hospital of Zhejiang Province between January 1, 2010, and June 30, 2021. For patients with MM initially diagnosed in the nephrology or orthopedic departments, age- and sex-matched patients without MM were randomly selected in a 1:1 ratio. Conditional logistic regression models were used to assess the risk of MM in hospitalized patients in the nephrology and orthopedic departments. This study included 200 patients, with a median age of 65 years. There were differences among patients in the three departments with respect to fracture, degree of anemia, proteinuria levels, red blood cell (RBC) count, hemoglobin levels, total protein (TP) levels, albumin levels, and laboratory indicators of renal function. TP levels > 68.45 g/L were independent risk factors for patients in the nephrology department (odds ratio (OR) = 1.01, 95% confidence interval (CI) = 1.001-1.024, P = 0.04), and RBC count < 3.79 × 10
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