Evidence map›Paper›PMID 34157802›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2021

[Value of Combined Detection of Cytokines and Tumor Markers in the 
Differential Diagnosis of Benign and Malignant Solitary Pulmonary Nodules].

Jie Shi, Xuan Liu, Zongjuan Ming, Wei Li, Xin Lv, Xia Yang, Yu Wang, Mengying Zhang, Shuanying Yang

Open access · greenAbstract read
In one paragraph

Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 5 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

9 authors at 1 institution in 1 country.

Jie ShiDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, 
Xi'an 710061, China.
Xuan LiuDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, 
Xi'an 710061, China.
Zongjuan MingDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, 
Xi'an 710061, China.
Wei LiDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, 
Xi'an 710061, China.
Xin LvDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, 
Xi'an 710061, China.
Xia YangDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, 
Xi'an 710061, China.
Yu WangDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, 
Xi'an 710061, China.
Mengying ZhangDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, 
Xi'an 710061, China.
Shuanying YangDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Xi'an Jiaotong University, 
Xi'an 710061, China.
Second Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSolitary pulmonary nodule has received increasing attention in recent years. A couple of lung nodules have been recognized as primary malignant tumors, which leads to an urgent need in enhancing the diagnosis of benign/malignant lung nodules at clinical settings. This study aims to explore the value of the combined detection of cytokines and tumor markers in differencing benign and malignant solitary pulmonary nodules in diagnose.

methodsWith 81 solitary pulmonary nodules cases with a clear diagnosis, the general clinical data, nodule imaging features, pathological diagnosis data, serological index cytokine series and tumor marker expression levels were collected in groups. Both single factor and multi-factors analysis were conducted to screen out the serum influence indexes that can predict the malignant probability of lung nodules, and mean while binary logistic regression analysis was used to construct joint indexes; After receiver operating characteristic curve (ROC) was drawn, the area under the curve and the corresponding sensitivity, specificity and positive of each index predicted value, negative predicted value and accuracy could be calculated with a view to determine the statistical significance of area under the curve (AUC).

resultsThere are differences in the distribution of malignant solitary pulmonary nodules at different locations, with the highest proportion of the right upper lobe (40.4%). The serum levels of carcinoembryonic antigen (CEA), cytokeratin 19 fragment 21-1 (CYFRA21-1), interleukin-6 (IL-6), interleukin-8 (IL-8) in the malignant nodule group were higher than those in the benign nodule group. Logistic regression analysis suggests that CEA, IL-6 and IL-8 are independent risk factors for predicting malignant nodules. ROC curve analysis shows that the areas under the curve of the individual indicators CEA, IL-6 and IL-8 are 0.642, 0.684 and 0.749. The comparison result of the test efficiency of the area under the curve suggests that CEA+IL-6+IL-8 has a larger area under the curve and higher detection efficiency.

conclusionsCEA, IL-6 and IL-8 are independent risk factors for malignant solitary pulmonary nodules. The combined detection of cytokines and tumor markers has played a role in the differential diagnosis of benign and malignant lung nodules. The diagnostic value of the combined detection of CEA+IL-6+IL-8 is the highest.

Indexed as

AgedBiomarkers, TumorCarcinoembryonic AntigenCytokinesDiagnosis, DifferentialFemaleHumansInterleukin-6Interleukin-8Lung NeoplasmsMaleMiddle AgedSolitary Pulmonary NoduleBiomarkers, TumorCarcinoembryonic AntigenCytokinesInterleukin-6Interleukin-8Combined detectionCytokinesDiagnosisSolitary pulmonary noduleTumor markers

Identifiers

PMID34157802
PMCPMC8246392
OpenAlexW3207259304

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.