Evidence map›Paper›PMID 37025603›Full record

ArticleFrontiers in oncology2023

The synergized diagnostic value of VTQ with chemokine CXCL13 in lung tumors.

Xu Zhang, Yejian Lu, Kenan Huang, Qingfang Pan, Youchao Jia, Baoshuan Cui, Peipei Yin, Jianhui Li, Junping Ju, Xiangyu Fan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Xu ZhangDepartment of Ultrasound, Affiliated Hospital of Hebei University, Baoding, Hebei, China.
Yejian LuDepartment of Oncology, Hospital of the People's Liberation Army: 82nd Group Army, Baoding, China.
Kenan HuangDepartment of Oncology, Hospital of the People's Liberation Army: 82nd Group Army, Baoding, China.
Qingfang PanDepartment of Oncology, Hospital of the People's Liberation Army: 82nd Group Army, Baoding, China.
Youchao JiaDepartment of Oncology, Affiliated Hospital of Hebei University, Baoding, Hebei, China.
Baoshuan CuiDepartment of Oncology, Hospital of the People's Liberation Army: 82nd Group Army, Baoding, China.
Peipei YinDepartment of Oncology, Hospital of the People's Liberation Army: 82nd Group Army, Baoding, China.
Jianhui LiDepartment of Ultrasound, Affiliated Hospital of Hebei University, Baoding, Hebei, China.
Junping JuDepartment of Radiology, Affiliated Hospital of Hebei University, Baoding, Hebei, China.
Xiangyu FanDepartment of Pathology, Affiliated Hospital of Hebei University, Baoding, Hebei, China.
Rui TianDepartment of Oncology, Hospital of the People's Liberation Army: 82nd Group Army, Baoding, China.
Hospital 463 People's Liberation Army · CNAffiliated Hospital of Hebei University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtual Touch Tissue Quantification (VTQ) offers several advantages in the diagnosis of various lung diseases. Chemokine expression levels, such as CXCL13, play a vital role in the occurrence and development of tumors and aid in the diagnosis process. The purpose of this study was to evaluate the combined value of VTQ and changes in CXCL13 expression levels for the diagnosis of lung tumors. A total of 60 patients with thoracic nodules and pleural effusion were included, with 30 of them having malignant pleural effusion (based on pathology) and the remaining 30 having benign thoracic nodules and pleural effusion. The relative expression level of CXCL13 was measured in the collected pleural effusions using Enzyme-Linked Immunosorbent Assay (ELISA). The relationship between CXCL13 expression levels and various clinical features was analyzed. A Receiver Operating Characteristic (ROC) curve analysis was conducted on the VTQ results and relative expression levels of CXCL13, and the areas under the curve, critical values, sensitivity, and specificity were calculated. Multivariate analysis incorporating multiple indicators was performed to determine the accuracy of lung tumor diagnosis. The results showed that the expression levels of CXCL13 and VTQ were significantly higher in the lung cancer group compared to the control group (P < 0.05). In the Non-Small Cell Lung Cancer (NSCLC) group, CXCL13 expression levels increased with later TNM staging and poorer tumor differentiation. The expression level of CXCL13 in adenocarcinoma was higher than that in squamous cell carcinoma. The ROC curve analysis revealed that CXCL13 had an area under the curve (AUC) of 0.74 (0.61, 0.86) with an optimal cut-off value of 777.82 pg/ml for diagnosing lung tumors. The ROC curve analysis of VTQ showed an AUC of 0.67 (0.53, 0.82) with a sensitivity of 60.0% and a specificity of 83.3%, and an optimal diagnostic cut-off of 3.33 m/s. The combination of CXCL13 and VTQ for diagnosing thoracic tumors had an AUC of 0.842 (0.74, 0.94), which was significantly higher than either factor alone. The results of the study demonstrate the strong potential of combining VTQ results with chemokine CXCL13 expression levels for lung tumor diagnosis. Additionally, the findings suggest that elevated relative expression of CXCL13 in cases of malignant pleural effusion caused by non-small cell lung cancer may indicate a poor prognosis. This provides promising potential for using CXCL13 as a screening tool and prognostic indicator for patients with advanced lung cancer complicated by malignant pleural effusion.

Indexed as

ARFICXCL13lung tumormalignant pleural effusionVTQ

Identifiers

PMID37025603
PMCPMC10070862
OpenAlexW4328113321

What OpenQuestion holds

Textmetadata
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.