Evidence map›Paper›PMID 36237340›Full record

ArticleFrontiers in oncology2022

The clinical relevance of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in chronic obstructive pulmonary disease with lung cancer.

Aiping Ma, Guangdong Wang, Yan Du, Weixi Guo, Jiaxi Guo, Yi Hu, Dongyu Bai, Huiping Huang, Lianjin Zhuang, Jinhan Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 1 institution in 1 country.

Aiping MaDepartment of Respiratory and Critical Medicine, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China.
Guangdong WangDepartment of Respiratory and Critical Medicine, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China.
Yan DuDepartment of Respiratory and Critical Medicine, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China.
Weixi GuoDepartment of Thoracic Surgery, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China.
Jiaxi GuoDepartment of Respiratory and Critical Medicine, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China.
Yi HuDepartment of Clinical Laboratory, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China.
Dongyu BaiDepartment of Pathology, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China.
Huiping HuangDepartment of Infection Control, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China.
Lianjin ZhuangDivision of Quality Management, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China.
Jinhan ChenDepartment of Geriatrics, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China.
Qun LiuDepartment of Respiratory and Critical Medicine, The First Affiliated Hospital, School of Medicine, Xiamen University, Xiamen, China.
First Affiliated Hospital of Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic obstructive pulmonary disease (COPD) coexisting with lung cancer is associated with severe mortality and a worse prognosis. Inflammation plays an important role in common pathogenic pathways and disease progression. However, a few studies have identified the clinical value of the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in COPD with lung cancer, which are systemic inflammatory response markers in the blood. This study aimed to determine the association of the NLR or PLR with clinical characteristics and whether NLR or PLR can be diagnostic markers for COPD with lung cancer. Methods: Between 2015 and 2021, we conducted a retrospective analysis of 236 COPD patients with lung cancer and 500 patients without lung cancer (control group). Clinical information, blood routine examination, and spirometry results were collected and analyzed. The receiver operating characteristic (ROC) curve was used to identify the best cutoff point of NLR or PLR. Multivariate logistic regression analysis was performed to evaluate the association of NLR or PLR with the diagnosis and prognosis of COPD with lung cancer. Results: Compared to patients in the COPD-only group, patients in the lung cancer group had a higher percentage of current smoking and emphysema, and it was found that NLR or PLR was significantly higher in the lung cancer group. Multivariate analysis showed that age, smoking status, FEV1%pred, emphysema, NLR, and PLR were independent risk factors for lung cancer development in COPD. Furthermore, the high level of NLR or PLR was associated with age over 70 years old, current smoking status, and ineligible surgery treatment. The level of PLR or NLR markedly increased with hypercoagulation status, the severity of airflow limitation, and advanced progression of lung cancer. Additionally, the ROC analysis also revealed that elevated NLR or PLR was an independent predictor of COPD in lung cancer patients, TNM stages IIIB-IV at first diagnosis in lung cancer, and ineligible surgery in lung cancer patients. Conclusion: Increased NLR or PLR values might be an important and easily measurable inflammation biomarker to predict the diagnosis and severity of lung cancer with COPD.

Indexed as

chronic obstructive pulmonary diseaseinflammation biomarkerslung cancerneutrophil-to-lymphocyte ratioplatelet-to-lymphocyte ratio

Identifiers

PMID36237340
PMCPMC9552820
OpenAlexW4297312503

What OpenQuestion holds

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LicenceCC BY
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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.