A differential diagnostic model based on immunological evaluation and routine laboratory tests: distinguishing multiple myeloma from other disorders with aberrant immunoglobulin elevation

The constructed differential diagnostic model in this study can accurately predict and differentiate MM patients and those with elevated Ig abnormalities, thereby enhancing the efficiency of clinical diagnostic decision-making.

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Publication Details

Journal
Discover Oncology
Published
2025-08-09
DOI
https://doi.org/10.1007/s12672-025-03156-0
Primary Topic
Multiple Myeloma Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00

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article

A differential diagnostic model based on immunological evaluation and routine laboratory tests: distinguishing multiple myeloma from other disorders with aberrant immunoglobulin elevation

Xiangmin Tong, Manning Li, Huafang Wang, Yirui Chen et al.
Discover Oncology
Multiple Myeloma Research and Treatments
article

A differential diagnostic model based on immunological evaluation and routine laboratory tests: distinguishing multiple myeloma from other disorders with aberrant immunoglobulin elevation

Xiangmin Tong, Manning Li, Huafang Wang, Yirui Chen, Xiaolu Song, Han Wu, Ying Wang, Peng Ye, Sixun Jia, Chunyi Shou
article en

Abstract

The constructed differential diagnostic model in this study can accurately predict and differentiate MM patients and those with elevated Ig abnormalities, thereby enhancing the efficiency of clinical diagnostic decision-making.

Discover OncologyVol. 16(1)
Affiliated Zhongshan Hospital of Dalian University (CN)
Department of Education of Zhejiang Province, Natural Science Foundation of Zhejiang Province
Reduced inequalities
Openalex Percentile: Top 75%
Multiple Myeloma Research and Treatments
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A differential diagnostic model based on immunological evaluation and routine laboratory tests: distinguishing multiple myeloma from other disorders with aberrant immunoglobulin elevation — Xiangmin Tong, Manning Li, et al. · Discover Oncology (2025) | TGRS Research Map | TGRS