Evidence map›Paper›PMID 32547040›Full record

ArticleTherapeutics and clinical risk management2020

Neutrophil-Lymphocyte Ratio (NLR) for Predicting Clinical Outcomes in Patients with Coronary Artery Disease and Type 2 Diabetes Mellitus: A Propensity Score Matching Analysis.

Shang Qiao, Wen Gao, Shujun Guo

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Article in Therapeutics and clinical risk management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

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13citing papers in PubMed, 1 pooled it
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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.

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Shang QiaoDepartment of Cardiology, Bayan Nur Hospital of the Nei Monggol Autonomous Region, Bayan Nur City 015000, People's Republic of China.
Wen GaoDepartment of Cardiology, Bayan Nur Hospital of the Nei Monggol Autonomous Region, Bayan Nur City 015000, People's Republic of China.
Shujun GuoDepartment of Cardiology, Bayan Nur Hospital of the Nei Monggol Autonomous Region, Bayan Nur City 015000, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular diseases (CVD) combined with Type 2 diabetes mellitus (T2DM) frequently occurred. In this study, we aimed at exploring the prognostic significance of blood neutrophil-lymphocyte ratio (NLR) in these types of patients. PATIENTS AND

methodsBetween June 30, 2010 and August 30, 2017, 1454 patients with CVD were enrolled in this study. Kaplan and Meier methodology was used for survival analysis. We also used propensity score matching (PSM) to further compare survival in patients with or without T2DM.

resultsAmong all patients, we applied ROC curve analysis to stratify all patients into two different groups including NLR >2.5 (n=432) and NLR≤ 2.5 (n=1022) groups. After that, we further performed survival analysis between different groups. We found that patients with NLR ≤2.5 had significantly favorable OS compared with the overall survival in patients with NLR >2.5. We further built the PSM using 242 pairs of patients who have CVD and with or without T2DM. After adjusting for competing risk factors, we performed Cox proportional hazards models to identify the independent prognostic factors in multivariable adjustment. We found that NLR ≤2.5 (HR: 2.576, 95% CI: 1.241-4.583, P =0.001) and extent of coronary artery disease (HR: 2.432, 95% CI: 1.189-4.392, P =0.005) remained independent predictors of OS.

conclusionIn conclusion, we have established an PSM model and found that a high NLR value was an independent prognostic factor for survival, predicting in patients with both CAD and T2DM. The NLR value would be a valuable biomarker to evaluate the outcomes of patients and give them opportunities for choosing alternative therapies.

Indexed as

cardiovascular diseasesCVDneutrophil–lymphocyte ratioNLRT2DMtype 2 diabetes mellitus

Identifiers

PMID32547040
PMCPMC7245465

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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.