Evidence map›Paper›PMID 34422649›Full record

ArticleFrontiers in oncology2021

A Novel Prognostic Marker for Primary CNS Lymphoma: Lactate Dehydrogenase-to-Lymphocyte Ratio Improves Stratification of Patients Within the Low and Intermediate MSKCC Risk Groups.

Yuting Gao, Li Wei, Seok Jin Kim, Liang Wang, Yingzhi He, Yanfang Zheng, Luca Bertero, Alessia Pellerino, Paola Cassoni, Luca Tamagnone and 6 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Yuting GaoDepartment of Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Li WeiDepartment of Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Seok Jin KimDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Liang WangDepartment of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Yingzhi HeDepartment of Hematology, ZhuJiang Hospital of Southern Medical University, Guangzhou, China.
Yanfang ZhengDepartment of Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Luca BerteroPathology Unit, Department of Medical Sciences, University of Turin, Torino, Italy.
Alessia PellerinoDepartment of Neuro-Oncology, University and City of Health and Science Hospital, Torino, Italy.
Paola CassoniPathology Unit, Department of Medical Sciences, University of Turin, Torino, Italy.
Luca TamagnoneUniversità Cattolica del Sacro Cuore, Department of Life Sciences and Public Health, Rome, Italy.
Prochazka Katharina TheresaClinical Department of Hematology, Medical University of Graz, Graz, Austria.
Alexander DeutschClinical Department of Hematology, Medical University of Graz, Graz, Austria.
Huien ZhanDepartment of Hematology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Jing LaiDepartment of Hematology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Yao WangDepartment of Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.
Hua YouDepartment of Oncology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary central nervous system lymphoma (PCNSL) is a highly aggressive and rare extranodal non-Hodgkin lymphoma (NHL). The MSKCC and the IELSG scores represent the most widely used prognostic models, but many changes have occurred in therapeutic protocols since their development. Moreover, many PCNSL patients cannot be classified using the IELSG score. We thus aimed to create a novel, effective and feasible prognostic model for PCNSL.

methodsWe included 248 PCNSL patients diagnosed with PCNSL. Our primary endpoint was the overall survival (OS) and we used the receiver operating characteristic (ROC) analysis to determine the optimal prognostic cut-off value for LLR (lactate dehydrogenase-to-lymphocyte ratio), neutrophil-to-lymphocyte ratio (NLR) and derived neutrophil-to-lymphocyte ratio (dNLR). Variable associated with OS were evaluated by univariate and multivariate analyses. 124 out of 248 patients were randomly selected as the internal validation cohort.

resultsBy univariate analysis, an age >60 years, Eastern Cooperative Oncology Group performance status (ECOG PS) >1, treatment with radiotherapy alone, high-risk groups of Memorial Sloan Kettering Cancer Center (MSKCC) score, NLR >4.74, dNLR >3.29, and LLR >166.8 were significantly associated with a worse OS. By multivariate analysis, the MSKCC score and LLR were confirmed as independent prognostic parameters for poorer OS. OS, however, was not significantly different between low- and intermediate-risk groups according to the MSKCC score, while LLR proved to be prognostically relevant and was thus used to develop a novel, effective three-tier PCNSL scoring system. Of 124 patients, 84 patients with survival data and LLR data were successfully validated by newly established PCNSL LLR scoring system.

conclusionsIn the present study, we demonstrate that a high LLR represents an independent unfavorable prognostic parameter in PCNSL patients which can be integrated into an effective prognostic model.

Indexed as

lactate dehydrogenase-to-lymphocyte ratioMemorial Sloan Kettering Cancer Center (MSKCC) scoreneutrophil-to-lymphocyte ratioprimary central nervous system lymphomaprognostic parameter

Identifiers

PMID34422649
PMCPMC8370855

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.