Evidence map›Paper›PMID 30746219›Full record

ArticleJournal of thoracic disease2018

Risk factors of latent tuberculosis infection and immune function in health care workers in Suzhou, China.

Cui-Lin Shi, Jun-Chi Xu, Hui Chen, Zhi-Jian Ye, Xin-Nian Chen, Pei-Jun Tang, Li-Ling Ma, Zai-Xiang Tang, Mei-Ying Wu, Ping Xu

Open access · hybridAbstract read
In one paragraph

Article in Journal of thoracic disease, 2018. 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
0.1field-weighted citation impact, top 48% 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, 3 citations in OpenAlex.

  1. Observational
  2. Article
  3. 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

10 authors at 2 institutions in 1 country.

Cui-Lin ShiKey Laboratory of Tuberculosis Prevention and Therapy, The Fifth People's Hospital of Suzhou, Suzhou 215000, China.
Jun-Chi XuKey Laboratory of Tuberculosis Prevention and Therapy, The Fifth People's Hospital of Suzhou, Suzhou 215000, China.
Hui ChenKey Laboratory of Tuberculosis Prevention and Therapy, The Fifth People's Hospital of Suzhou, Suzhou 215000, China.
Zhi-Jian YeKey Laboratory of Tuberculosis Prevention and Therapy, The Fifth People's Hospital of Suzhou, Suzhou 215000, China.
Xin-Nian ChenKey Laboratory of Tuberculosis Prevention and Therapy, The Fifth People's Hospital of Suzhou, Suzhou 215000, China.
Pei-Jun TangKey Laboratory of Tuberculosis Prevention and Therapy, The Fifth People's Hospital of Suzhou, Suzhou 215000, China.
Li-Ling MaKey Laboratory of Tuberculosis Prevention and Therapy, The Fifth People's Hospital of Suzhou, Suzhou 215000, China.
Zai-Xiang TangDepartment of Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou 215123, China.
Mei-Ying WuKey Laboratory of Tuberculosis Prevention and Therapy, The Fifth People's Hospital of Suzhou, Suzhou 215000, China.
Ping XuKey Laboratory of Tuberculosis Prevention and Therapy, The Fifth People's Hospital of Suzhou, Suzhou 215000, China.
The Fifth People’s Hospital of Suzhou · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Chinese government has pay attention about tuberculosis infection among medical staff in infectious disease hospitals, but the effects have not yet been reported. This study will explore latent infection and immune function in the medical staff and systematically analyze the associated influencing factors.

methodsNinety-four medical staffs were enrolled and 20 medical staffs were defined as low risk group and others were high risk group. We used IFN-γ release assay and flow cytometry to analyze the latent TB infection status and immune function. Logistic regression analyses were performed to identify the independent risk factors of latent TB infection.

resultsThis study explored and compared the infection status of medical workers and found that the rate of positive TB-IGRA results was higher among high risk group than in low risk group. Working environment, occupational history and work type were risk factors for TB infection in hospital. This study also found that high risk group had higher IFN-γ expression and a lower ratio of CD4+ to CD8+ T cells and further analysis found that this immune disorder is associated with wards and occupations.

conclusionsThis study through rigorous sample collection and analysis found the risk factors of latent tuberculosis infection in health care workers. This finding may provide a theoretical basis to be used by the countries with a high TB burden to further improve their strategies for the prevention of TB infections in hospitals and may give an indication for improving the personal health of medical staff in infectious disease hospitals.

Indexed as

hospital infectionimmune functionMedical stafftuberculosis

Identifiers

PMID30746219
PMCPMC6344678
OpenAlexW2900975921

What OpenQuestion holds

Textmetadata
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.