Evidence map›Paper›PMID 28840341›Full record

ArticleClinical rheumatology2017

Usefulness of neutrophil-to-lymphocyte ratio as a biomarker for diagnosing infections in patients with systemic lupus erythematosus.

Hyoun-Ah Kim, Ju-Yang Jung, Chang-Hee Suh

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Article in Clinical rheumatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 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

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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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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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

3 authors.

Hyoun-Ah KimDepartment of Rheumatology, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon, 16499, South Korea.
Ju-Yang JungDepartment of Rheumatology, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon, 16499, South Korea.
Chang-Hee SuhDepartment of Rheumatology, Ajou University School of Medicine, 164 Worldcup-ro, Yeongtong-gu, Suwon, 16499, South Korea. chsuh@ajou.ac.kr.ORCID http://orcid.org/0000-0001-6156-393X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) have been investigated as disease activity markers for systemic lupus erythematosus (SLE). Hence, we investigated the clinical significance of these parameters in diagnosing infection in patients with SLE. In total, 120 patients with SLE, who were admitted to hospital due to disease flares or infection, were recruited for the study. Of the 120 patients, 60 had a concurrent infection (SLE with infection), while the remaining 60 patients were admitted with a flare without any evidence of infection (SLE with flare). NLR was higher in the patients with SLE with infection, compared to patients with SLE with flare (14.2 ± 15.4 versus 3.3 ± 2.2, p < 0.001). Additionally, PLR was higher in the SLE with infection group than in the SLE with flare group (357.7 ± 350.1 versus 231.7 ± 152.9, p = 0.012), but not MLR. In the SLE with infection group, C-reactive protein (CRP) levels positively correlated with NLR and PLR. NLR with a cut-off value of 5.70 and an area under the curve (AUC) of 0.872 indicated good sensitivity (75%) and specificity (90%), for the diagnosis of SLE with infection. CRP with a cut-off value of 1.28 mg/dL (AUC 0.942) showed the sensitivity (93.3%) and specificity (91.7%). NLR with a cut-off value of 5.70 and CRP with a cut-off value of 1.28 mg/dL showed the increased specificity (98.3%) than only CRP, but not significant. NLR could be a good additive marker for diagnosing infection in patients with SLE.

Indexed as

LymphocytesNeutrophilsAdultBiomarkersFemaleHumansInfectionsLeukocyte CountLupus Erythematosus, SystemicMaleMiddle AgedYoung AdultBiomarkersBiomarkerDisease activityInfectionNeutrophil-to-lymphocyte ratioRatioSystemic lupus erythematosus

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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.