Evidence map›Paper›PMID 35819097›Full record

ArticleJournal of clinical laboratory analysis2022

Monocytes subtypes from pleural effusion reveal biomarker candidates for the diagnosis of tuberculosis and malignancy.

Lisha Luo, Shuanglinzi Deng, Wei Tang, Xinyue Hu, Feifei Yin, Huan Ge, Jiale Tang, Zhonghua Liao, Juntao Feng, Xiaozhao Li and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
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.

Lisha LuoDepartment of Respiratory Medicine, Key Cite of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China.
Shuanglinzi DengDepartment of Respiratory Medicine, Key Cite of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China.
Wei TangDepartment of Respiratory Medicine, Key Cite of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China.
Xinyue HuDepartment of Respiratory Medicine, Key Cite of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China.
Feifei YinDepartment of Respiratory Medicine, Key Cite of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China.
Huan GeDepartment of Respiratory Medicine, Key Cite of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China.
Jiale TangDepartment of Nephrology, Xiangya Hospital, Central South University, Changsha, China.
Zhonghua LiaoDepartment of Nephrology, Xiangya Hospital, Central South University, Changsha, China.
Juntao FengDepartment of Respiratory Medicine, Key Cite of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-2674-9744
Xiaozhao LiDepartment of Nephrology, Xiangya Hospital, Central South University, Changsha, China.
Biwen MoDepartment of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Guilin Medical University, Guilin, China.
Central South University · CNGuilin Medical University · CN

Funding

Clinical medical technology innovation guidance program of Hunan Province 2020SK53701High Level of Innovation Team and Outstanding Scholars Program in Colleges and Universities in GuangxiNational Natural Science Foundation of China 81270786Natural Science Foundation of Hunan Province 2020JJ4887
6 · The paper itself

Abstract

backgroundPleural effusion is a common clinical condition caused by several respiratory diseases, including tuberculosis and malignancy. However, rapid and accurate diagnoses of tuberculous pleural effusion (TPE) and malignant pleural effusion (MPE) remain challenging. Although monocytes have been confirmed as an important immune cell in tuberculosis and malignancy, little is known about the role of monocytes subpopulations in the diagnosis of pleural effusion.

methodsPleural effusion samples and peripheral blood samples were collected from 40 TPE patients, 40 MPE patients, and 24 transudate pleural effusion patients, respectively. Chemokines (CCL2, CCL7, and CX3CL1) and cytokines (IL-1β, IL-17, IL-27, and IFN-γ) were measured by ELISA. The monocytes phenotypes were analyzed by flow cytometry. The chemokines receptors (CCR2 and CX3CR1) and cytokines above in different monocytes subsets were analyzed by real-time PCR. Receiver operating characteristic curve analysis was performed for displaying differentiating power of intermediate and nonclassical subsets between tuberculous and malignant pleural effusions.

resultsCCL7 and CX3CL1 levels in TPE were significantly elevated in TPE compared with MPE and transudate pleural effusion. Cytokines, such as IL-1β, IL-17, IL-27, and IFN-γ, in TPE were much higher than in other pleural effusions. Moreover, CD14

conclusionsCD14 and CD16 markers on monocytes could be potentially used as novel diagnostic markers for diagnosing TPE and MPE.

Indexed as

Interleukin-27Pleural EffusionPleural Effusion, MalignantTuberculosisBiomarkersExudates and TransudatesHumansInterleukin-17MonocytesBiomarkersInterleukin-17Interleukin-27CD14CD16diagnosismalignancymonocytespleural effusiontuberculosis

Identifiers

PMID35819097
PMCPMC9396188
OpenAlexW4285042008

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.