Evidence map›Paper›PMID 37103584›Full record

ArticleCurrent microbiology2023

Combined Detection of IFN-γ and Lymphocyte Subsets with Activation Indicators in the Clinical Application of Mycobacterium Tuberculosis Infection at Different Times.

Yiwen Chen, Lahong Zhang, Changjun Zhou, Yuhua Liu, Feng Pan, Qiang Ke, Zhaojun Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Yiwen ChenClinical Laboratory Department, Hangzhou Normal University Affiliated Hospital, Zhejiang Province, Hangzhou, 310015, China.
Lahong ZhangClinical Laboratory Department, Hangzhou Normal University Affiliated Hospital, Zhejiang Province, Hangzhou, 310015, China.
Changjun ZhouClinical Laboratory Department, Hangzhou Normal University Affiliated Hospital, Zhejiang Province, Hangzhou, 310015, China.
Yuhua LiuClinical Laboratory Department, Hangzhou Normal University Affiliated Hospital, Zhejiang Province, Hangzhou, 310015, China.
Feng PanClinical Laboratory Department, Hangzhou Normal University Affiliated Hospital, Zhejiang Province, Hangzhou, 310015, China.
Qiang KeHangzhou Normal University Affiliated Hospital (Clinical College), Hangzhou, China.
Zhaojun ChenClinical Laboratory Department, Hangzhou Normal University Affiliated Hospital, Zhejiang Province, Hangzhou, 310015, China. hzczj2006@163.com.

Funding

Hangzhou Science and Technology Bureau 20201203B306Medical Science and Technology Project of Zhejiang Province 2019KY133Medical Science and Technology Project of Zhejiang Province 2023KY957
6 · The paper itself

Abstract

The immune status of mycobacterium tuberculosis (MTB) infection is essential for the diagnosis and treatment of this disease. In this work, we aim to evaluate the clinical significance of the combination of serum IFN-γ, IGRAs (Interferon-Gamma Release Assay), lymphocyte subset with activation indicators detection in active and latent tuberculosis infection patients. For this study, anticoagulant whole blood were collected from 45 active tuberculosis (AT group), 44 latent tuberculosis (LT group) and 32 healthy controls (HCs group). The serum IFN-γ and IGRAs detected by chemiluminescence, and the percentage of lymphocyte subsets and activated lymphocytes detected by flow cytometry. The results showed combined IGRAs, serum IFN-γ and NKT cells not only has good diagnostic efficiency for the AT, but also provides a laboratory diagnostic method to distinguish AT from LT. Activation indicator of CD3

Indexed as

Latent TuberculosisMycobacterium tuberculosisTuberculosisErb-b2 Receptor Tyrosine KinasesHLA-DR AntigensHumansInterferon-gammaLymphocyte SubsetsERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesHLA-DR AntigensInterferon-gamma

Identifiers

PMID37103584
PMCPMC10140100

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.