Evidence map›Paper›PMID 22911837›Full record

ArticlePloS one2012

Blood lymphocyte-to-monocyte ratio identifies high-risk patients in diffuse large B-cell lymphoma treated with R-CHOP.

Zhi-Ming Li, Jia-Jia Huang, Yi Xia, Jian Sun, Ying Huang, Yu Wang, Ying-Jie Zhu, Ya-Jun Li, Wei Zhao, Wen-Xiao Wei and 3 more

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 6 pooled it
–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

82 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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22 more citing papers are in PubMed but not listed here.

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

13 authors.

Zhi-Ming LiState Key Laboratory of Oncology in South China, Guangzhou, China. lzmlzmlzm@yahoo.com
Jia-Jia Huang
Yi Xia
Jian Sun
Ying Huang
Yu Wang
Ying-Jie Zhu
Ya-Jun Li
Wei Zhao
Wen-Xiao Wei
Tong-Yu Lin
Hui-Qiang Huang
Wen-Qi Jiang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent research has shown a correlation between immune microenvironment and lymphoma biology. This study aims to investigate the prognostic significance of the immunologically relevant lymphocyte-to-monocyte ratio (LMR), in diffuse large B-cell lymphoma (DLBCL) in the rituximab era. METHODOLOGY/PRINCIPAL

findingsWe analyzed retrospective data from 438 newly diagnosed DLBCL patients treated with rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) therapy. We randomly selected 200 patients (training set) to generate a cutoff value for LMR by receiver operating characteristic (ROC) curve analysis. LMR was then analyzed in a testing set (n = 238) and in all patients (n = 438) for validation. The LMR cutoff value for survival analysis determined by ROC curve in the training set was 2.6. Patients with low LMR tended to have more adverse clinical characteristics. Low LMR at diagnosis was associated with worse survival in DLBCL, and could also identify high-risk patients in the low-risk IPI category. Multivariate analysis identified LMR as an independent prognostic factor of survival in the testing set and in all patients. CONCLUSIONS/SIGNIFICANCE: Baseline LMR, a surrogate biomarker of the immune microenvironment, is an effective prognostic factor in DLBCL patients treated with R-CHOP therapy. Future prospective studies are required to confirm our findings.

Indexed as

AgedAntibodies, Monoclonal, Murine-DerivedAntineoplastic Combined Chemotherapy ProtocolsCyclophosphamideDoxorubicinFemaleHumansKaplan-Meier EstimateLeukocyte CountLymphoma, Large B-Cell, DiffuseMaleMiddle AgedMonocytesMultivariate AnalysisPrednisonePrognosisAntibodies, Monoclonal, Murine-DerivedCyclophosphamideDoxorubicinPrednisoneR-CHOP protocolRituximabVincristine

Identifiers

PMID22911837
PMCPMC3402437

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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.