Evidence map›Paper›PMID 30952822›Full record

ArticleThe oncologist2019

Complete Blood Count Score Model Integrating Reduced Lymphocyte-Monocyte Ratio, Elevated Neutrophil-Lymphocyte Ratio, and Elevated Platelet-Lymphocyte Ratio Predicts Inferior Clinical Outcomes in Adult T-Lymphoblastic Lymphoma.

Xiaoyan Feng, Ling Li, Jingjing Wu, Lei Zhang, Zhenchang Sun, Xin Li, Xinhua Wang, Hui Yu, Yu Chang, Xiaolong Wu and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in The oncologist, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 10% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  15. Utility of inflammatory markers to predict adverse outcome in acute pancreatitis: A retrospective study in a single academic center.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association · 2020
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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 at 1 institution in 1 country.

Xiaoyan FengDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Ling LiDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Jingjing WuDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Lei ZhangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Zhenchang SunDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Xin LiDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Xinhua WangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Hui YuDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Yu ChangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Xiaolong WuDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Zhiyuan ZhouDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Guannan WangDepartment of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Wencai LiDepartment of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Zhaoming LiDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Xudong ZhangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Mingzhi ZhangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China mingzhi_zhang1@163.com.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundT-lymphoblastic lymphoma (T-LBL) is a highly aggressive neoplasm of lymphoblasts of T-cell origin. Although promising improvements have been recently achieved, one third of patients experience relapse or refractory T-LBL. Therefore, optimal strategies for identifying high-risk patients are urgently needed. MATERIALS AND

methodsIn the present study, 75 newly diagnosed adult patients (aged ≥15 years) with T-LBL were identified and the predictive value of complete blood count (CBC) abnormalities, including lymphocyte-monocyte ratio (LMR), neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR) on clinical outcomes, was analyzed.

resultsUsing the receiver operating characteristic curve to determine the best cutoff values based on survival, it was found that patients with T-LBL with LMR ≤2.8, NLR ≥3.3, and PLR ≥200 had both inferior progression-free survival (PFS) and inferior overall survival (OS), in which the differences were much more remarkable in the international prognostic index score 0-2 subgroup. In the multivariable analysis, NLR ≥3.3 together with age >40 years and central nervous system (CNS) involvement were identified to be independently associated with shortened PFS, whereas PLR ≥200 and CNS involvement were identified to be independent risk factors for OS. LMR, NLR, and PLR were integrated to generate a "CBC score" model, which well separated adult patients with T-LBL into three risk groups, and the 3-year OS was 84%, 53%, and 30% for low-, intermediate-, and high-risk patients, respectively.

conclusionOverall, a "CBC score" model was initially promoted for stratification in adult patients with T-LBL using simple, widely available, and easy to interpret parameters in the largest adult T-LBL cohort to date. IMPLICATIONS FOR PRACTICE: Optimal strategies for identifying high-risk patients with T-lymphoblastic lymphoma (T-LBL) are urgently needed. In the largest adult T-LBL cohort to date, simple, inexpensive, widely available parameters were applied and revealed that patients with lymphocyte-monocyte ratio (LMR) ≤2.8, neutrophil-lymphocyte ratio (NLR) ≥3.3, and platelet-lymphocyte ratio (PLR) ≥200 had both inferior progression-free survival and inferior overall survival (OS), in which the differences were much more remarkable in the international prognostic index score 0-2 subgroup. LMR, NLR, and PLR were integrated to generate a "complete blood count score" model, in which the 3-year OS was 84%, 53%, and 30% for low-, intermediate-, and high-risk patients, respectively.

Indexed as

AdolescentAdultBiomarkers, TumorBlood Cell CountBlood PlateletsFemaleHumansLymphocytesMaleMiddle AgedMonocytesNeutrophilsPrecursor T-Cell Lymphoblastic Leukemia-LymphomaPrognosisRetrospective StudiesRisk FactorsBiomarkers, TumorComplete blood countHost immunityPrognosisT‐lymphoblastic lymphomaTumor microenvironment

Identifiers

PMID30952822
PMCPMC6853117
OpenAlexW2928453788

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Registered trials

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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.