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Establishment method and application of primary central nervous system lymphoma prognosis model based on albumin and ECOG-PS

A central nervous system and method establishment technology, applied in the field of primary central nervous system lymphoma prognostic model establishment, can solve the problem that the model is not necessarily applicable, and achieve the effect of good clinical practicability and efficient evaluation

Pending Publication Date: 2021-10-01
CANCER CENT OF GUANGZHOU MEDICAL UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to solve the technical problem that the above-mentioned existing models are not necessarily applicable to the new clinical treatment model for PCNSL, and provide a prognostic model of primary central nervous system lymphoma based on albumin and ECOG-PS Method and application

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  • Establishment method and application of primary central nervous system lymphoma prognosis model based on albumin and ECOG-PS
  • Establishment method and application of primary central nervous system lymphoma prognosis model based on albumin and ECOG-PS
  • Establishment method and application of primary central nervous system lymphoma prognosis model based on albumin and ECOG-PS

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Embodiment Construction

[0043] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0044] Explanation of terms involved in the present invention:

[0045] PCNSL (primary central nervous system lymphoma): primary central nervous system lymphoma;

[0046] OS(overall survival): overall survival period;

[0047] ECOG-PS: ECOG score standard Zubrod-ECOG-WHO (ZPS, 5-point method) for physical status.

[0048] The model involved in the present invention predicts patient OS, and OS is defined as the time from the time of diagnosis of the disease to death from any cause or the last follow-up time, and OS is calculated in months.

[0049] The embodiment of the present invention provides a method for establishing a prognostic model of primary central nervo...

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Abstract

The invention discloses a primary central nervous system lymphoma prognosis model based on albumin and ECOG-PS. The model comprises related prognosis factors, risk groups corresponding to evaluation scores of different states of the prognosis factors and prognosis states corresponding to the risk groups, wherein the prognosis factors are composed of serum albumin content and ECOG-PS. According to the invention, the serum albumin content and ECOG-PS are integrated as prognosis evaluation indexes of primary central nervous system lymphoma for the first time, and a novel prognosis evaluation model for patients with primary central nervous system lymphoma is established.

Description

technical field [0001] The invention belongs to the technical field of biomedical detection, and in particular relates to a prognostic model establishment method and application of primary central nervous system lymphoma based on albumin and ECOG-PS. Background technique [0002] Primary central nervous system lymphoma (PCNSL) is a rare non-Hodgkin's lymphoma that occurs in the brain, spinal cord, meninges and eyes. Involvement of other organs. However, malnutrition is a common complication of cancer patients. According to statistics, the incidence of malnutrition in cancer patients is between 40% and 80%. Recent retrospective studies have shown that nutritional status can affect the survival of DLBCL patients treated with R-CHOP regimen. [0003] In the prior art, the commonly used nutritional status measurement tools include the subjective global assessment scale (subjective global assessment, SGA) and the subjective global nutritional status assessment scale (patient-ge...

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Application Information

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IPC IPC(8): G16B40/00G16H10/20G16H50/30
CPCG16B40/00G16H10/20G16H50/30
Inventor 游华魏丽高玉婷
Owner CANCER CENT OF GUANGZHOU MEDICAL UNIV
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