Evidence map›Paper›PMID 29720140›Full record

Observational studyBMC pulmonary medicine2018

Clinical utility of blood neutrophil-lymphocyte ratio in Japanese COPD patients.

Kaori Sakurai, Shotaro Chubachi, Hidehiro Irie, Akihiro Tsutsumi, Naofumi Kameyama, Takashi Kamatani, Hidefumi Koh, Takeshi Terashima, Hidetoshi Nakamura, Koichiro Asano and 1 more

Abstract readObservational Study
In one paragraph

Observational study in BMC pulmonary medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 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

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

  1. Predictors of Acute Exacerbations in COPD: A Systematic Review.International journal of chronic obstructive pulmonary disease · 2026
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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

11 authors.

Kaori SakuraiDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Shotaro ChubachiDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan. bachibachi472000@live.jp.ORCID http://orcid.org/0000-0002-5046-3762
Hidehiro IrieDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Akihiro TsutsumiDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Naofumi KameyamaDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Takashi KamataniDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Hidefumi KohDepartment of Medicine, Tachikawa Hospital, Tokyo, Japan.
Takeshi TerashimaDivision of Pulmonary Medicine, Department of Internal Medicine, Tokyo Dental College, Chiba, Japan.
Hidetoshi NakamuraDepartment of Respiratory Medicine, Saitama Medical University, Saitama, Japan.
Koichiro AsanoDivision of Pulmonary Medicine, Department of Medicine, Tokai University School of Medicine, Kanagawa, Japan.
Tomoko BetsuyakuDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeutrophil-to-lymphocyte ratio (NLR) is a biomarker of inflammation in chronic obstructive pulmonary disease (COPD) patients. But, a meaningful threshold and the longitudinal changes are unknown. We aimed to investigate the association between NLR and the clinical characteristics of COPD patients and to determine a meaningful threshold and the longitudinal changes for NLR.

methodsKeio University and its affiliate hospitals conducted an observational COPD cohort study over 3 years. We performed a blood examination and a pulmonary function test. Blood examination was completed at baseline and annually thereafter, at a time when the disease was stable. Two hundred seventy-four patients who had at least 3 blood examinations over 3 years were included.

resultsBaseline NLR was correlated with baseline C-reactive protein (CRP) (r = 0.18, p = 0.003) and SAA (r = 0.34, p <  0.001). We defined an NLR score of 2.7 as the arbitrary cut-off value based on upper quartile points. COPD patients with NLR ≥ 2.7 were older (p = 0.037), had a lower BMI (p = 0.005) and a lower %FEV1 (p = 0.0003) compared to patients with NLR < 2.7. Receiver-operating-characteristic (ROC) curves showed the optimal cutoff for the baseline NLR in the predicting moderate/severe exacerbation to be 2.7, which was same as the upper quartile points. Follow-up analysis over 3 years revealed that the differences in the trends of NLR among the three groups based on the categories of exacerbations (moderate or severe, mild, no exacerbation) were significant (p = 0.006).

conclusionsNLR is associated with COPD severity and exacerbations. For predicting exacerbations, we estimated the threshold of NLR to be 2.7 at baseline.

trial registrationClinical trial registered with the University Hospital Medication Information Network ( UMIN000003470 , April 10, 2010).

Indexed as

LymphocytesNeutrophilsPulmonary Disease, Chronic ObstructiveAdultAgedFemaleHumansJapanLeukocyte CountMaleMiddle AgedPatient AcuityPredictive Value of TestsReproducibility of ResultsRespiratory Function TestsSeverity of Illness IndexAcute exacerbationComorbidityCOPDNLR

Identifiers

PMID29720140
PMCPMC5932787

What OpenQuestion holds

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Registered trials

None linked

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.