Evidence map›Paper›PMID 39445057›Full record

ArticleFrontiers in oncology2024

Electrolyte prognosis scoring system can predict overall survival in patients with osteosarcoma.

Han Liu, Hui Kang, Longqing Li, Zhuangzhuang Li, Xuanhong He, Yuqi Zhang, Minxun Lu, Li Min, Chongqi Tu

Abstract read
In one paragraph

Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Han LiuDepartment of Orthopedics, Orthopaedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Hui KangDepartment of Operating Room, West China Hospital, Sichuan University/Nursing Key Laboratory of Sichuan Province, Sichuan University, Chengdu, China.
Longqing LiDepartment of Orthopedics, Orthopaedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Zhuangzhuang LiDepartment of Orthopedics, Orthopaedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Xuanhong HeDepartment of Orthopedics, Orthopaedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Yuqi ZhangDepartment of Orthopedics, Orthopaedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Minxun LuDepartment of Orthopedics, Orthopaedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Li MinDepartment of Orthopedics, Orthopaedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.
Chongqi TuDepartment of Orthopedics, Orthopaedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma stands as the most prevalent bone tumor, characterized by a heightened tendency for local recurrence and distant metastasis, resulting in a bleak prognosis. Presently, there exists a shortage of novel markers to effectively determine the prognosis of osteosarcoma patients. Recent research indicates that hematological markers partially mirror an individual's microenvironment, offering potential insights into predicting patient prognosis. However, prior studies predominantly focused on the prognostic significance of singular hematological indices, failing to comprehensively represent the tumor microenvironment of patients. In our investigation, we meticulously gathered data on 22 hematological and electrolyte markers, utilizing LASSO Cox regression analysis to devise an Electrolyte Prognostic Scoring System (EPSS). The EPSS encompasses various indicators, including immunity, inflammation, coagulation, and electrolyte levels. Our findings indicate that the EPSS stands as an independent prognostic factor for overall survival among osteosarcoma patients. It serves as a valuable addition to clinical characteristics, adept at discerning high-risk patients from those deemed clinically low-risk. Furthermore, EPSS-based nomograms demonstrate commendable predictive capabilities.

Indexed as

electrolytehematological markersOSosteosarcomaprognostic nomograms

Identifiers

PMID39445057
PMCPMC11496286

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