Evidence mapPaperPMID 38468847Full record

ArticleInfection and drug resistance2024

Association Studies of Serum Levels of TNF- α, IL-10, IFN-γ and CXCL 5 with Latent Tuberculosis Infection in Close Contacts.

Jaina Razbek, Mayisha Daken, Yanggui Chen, Li Ma, Yan Zhang, Wanting Xu, Baofeng Wen, Junan Wang, Xiaomin Wang, Mingqin Cao

Abstract read
In one paragraph

Article in Infection and drug resistance, 2024. 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
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

0 citing papers in PubMed.

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

10 authors.

Jaina RazbekDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, 830011, People's Republic of China.
Mayisha DakenDepartment of Epidemic Prevention, Karamay Centre for Disease Control and Prevention, Karamay, 834000, People's Republic of China.
Yanggui ChenDepartment of Prevention and Control of Tuberculosis, Urumqi Centre for Disease Control and Prevention, Urumqi, 830011, People's Republic of China.
Li MaDepartment of Prevention and Control of Tuberculosis, Urumqi Centre for Disease Control and Prevention, Urumqi, 830011, People's Republic of China.
Yan ZhangDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, 830011, People's Republic of China.ORCID 0000-0002-2390-4980
Wanting XuDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, 830011, People's Republic of China.
Baofeng WenDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, 830011, People's Republic of China.
Junan WangDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, 830011, People's Republic of China.
Xiaomin WangDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, 830011, People's Republic of China.
Mingqin CaoDepartment of Epidemiology and Health Statistics, College of Public Health, Xinjiang Medical University, Urumqi, 830011, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Early recognition and treatment of latent tuberculosis infection(LTBI) is key to tuberculosis(TB) prevention. However, the emergence of LTBI is influenced by a combination of factors, of which the role of individual immune cytokines remains controversial. The aim of this study is to explore the influencing factors of LTBI and their effects with cytokines on LTBI. Patients and Methods: Close contacts of tuberculosis in Urumqi City from 2021 to 2022 were selected for the study to conduct a field survey. It used logistic regression model to analyse the influencing factors of LTBI, principal component analysis to extract a composite indicators of cytokines, and structural equation modelling to explore the direct and indirect effects of cytokines and influencing factors on LTBI. Results: LTBI infection rate of 33.3% among 288 TB close contacts. A multifactorial Logistic model showed that factors influencing LTBI included education, daily contact hours, eating animal liver, and drinking coffee ( Conclusion: IL-10 and TNF-α are involved in the immune response and are directly related to LTBI. By monitoring the cytokine levels of TB close contacts and paying attention to their dietary habits and exposure, we can detect and intervene in LTBI at an early stage and control their progression to TB.

Indexed as

association studiesclose contactscytokineslatent tuberculosis infectionstructural equation modelling

Identifiers

PMID38468847
PMCPMC10926862

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.