Evidence map›Paper›PMID 35384389›Full record

ArticleCancer medicine2022

Associations of systemic inflammation markers with identification of pulmonary nodule and incident lung cancer in Chinese population.

Ting Tian, Jing Lu, Wei Zhao, Zhongming Wang, Hai Xu, Yuqing Ding, Wen Guo, Pei Qin, Wenfang Zhu, Ci Song and 3 more

Abstract read
In one paragraph

Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–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

33 citing papers in PubMed.

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  6. Article
  7. Role of Systemic Inflammatory Markers in the Differential Diagnosis of Organizing Pneumonia and Lung Cancer.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2025
    Article
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  15. Observational
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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

13 authors.

Ting TianDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Jing LuDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Wei ZhaoDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Zhongming WangInformation Department, Jiangsu Province Hospital and the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hai XuDepartment of Radiology, Jiangsu Province Hospital and the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yuqing DingDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Wen GuoHealth Promotion Center, Jiangsu Province Hospital and the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Pei QinHealth Promotion Center, Jiangsu Province Hospital and the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wenfang ZhuHealth Promotion Center, Jiangsu Province Hospital and the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ci SongDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Hongxia MaDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID 0000-0002-2462-9693
Qun ZhangHealth Promotion Center, Jiangsu Province Hospital and the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID 0000-0002-7193-2927
Hongbing ShenDepartment of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID 0000-0002-2581-5906

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesNeutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII), easily accessible systemic inflammation response parameters, were reported to associate with poor lung cancer prognosis. However, research on the effects of these markers on the risk of positive nodules (PNs) and lung cancer is limited.

methodsParticipants in this retrospective study were those who had their first computed tomography (CT) screening at Jiangsu Province Hospital's Health Promotion Center between January 1, 2017 and December 31, 2020. We identified PNs (≥6 mm in diameter) from free text of CT reports and lung cancer from medical records. Multivariate logistic analysis was used to assess the association between NLR, PLR, or SII and PNs or lung cancer.

resultsThe detected rate of PNs was 9.60% among the 96,476 participants. Age, smoking and body mass index were possible influencing factors for PNs. We observed linear dose-effect relationship between NLR, PLR, or SII and PNs (p

conclusionsThe high levels of systemic inflammation markers were associated with the risk of positive pulmonary nodules and lung cancer, which suggested systemic immune response may be an important pre-clinical feature for the early identification of diseases.

Indexed as

Lung NeoplasmsBiomarkersChinaHumansInflammationLymphocytesNeutrophilsPrognosisRetrospective StudiesBiomarkersCT scanlung cancerneutrophil-to-lymphocyte ratioplatelet-to-lymphocyte ratiopulmonary nodulessystemic immune-inflammation index

Identifiers

PMID35384389
PMCPMC9189452

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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.