Evidence map›Paper›PMID 28667275›Full record

ArticleScientific reports2017

Tuberculosis infection in rural labor migrants in Shenzhen, China: Emerging challenge to tuberculosis control during urbanization.

Xiangwei Li, Qianting Yang, Boxuan Feng, Henan Xin, MingXia Zhang, Qunyi Deng, Guofang Deng, Wanshui Shan, Jianrong Yue, Haoran Zhang and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 36 citations in OpenAlex.

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  19. The Quality of Tuberculosis Care in Urban Migrant Clinics in China.International journal of environmental research and public health · 2018
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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

15 authors at 3 institutions in 1 country.

Xiangwei LiMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Qianting YangGuangdong Key Laboratory for Emerging Infectious Diseases, Shenzhen Key Laboratory of Infection & Immunity, Shenzhen Third People's Hospital, Shenzhen, China.
Boxuan FengMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Henan XinMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
MingXia ZhangGuangdong Key Laboratory for Emerging Infectious Diseases, Shenzhen Key Laboratory of Infection & Immunity, Shenzhen Third People's Hospital, Shenzhen, China.
Qunyi DengGuangdong Key Laboratory for Emerging Infectious Diseases, Shenzhen Key Laboratory of Infection & Immunity, Shenzhen Third People's Hospital, Shenzhen, China.
Guofang DengGuangdong Key Laboratory for Emerging Infectious Diseases, Shenzhen Key Laboratory of Infection & Immunity, Shenzhen Third People's Hospital, Shenzhen, China.
Wanshui ShanGuangdong Key Laboratory for Emerging Infectious Diseases, Shenzhen Key Laboratory of Infection & Immunity, Shenzhen Third People's Hospital, Shenzhen, China.
Jianrong YueGuangdong Key Laboratory for Emerging Infectious Diseases, Shenzhen Key Laboratory of Infection & Immunity, Shenzhen Third People's Hospital, Shenzhen, China.
Haoran ZhangMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Mufei LiMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Hengjing LiMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Qi JinMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Xinchun ChenGuangdong Key Laboratory for Emerging Infectious Diseases, Shenzhen Key Laboratory of Infection & Immunity, Shenzhen Third People's Hospital, Shenzhen, China. chenxinchun@163.com.
Lei GaoMOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China. gaolei@ipbcams.ac.cn.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNShenzhen Third People’s Hospital · CNShenzhen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During China's urbanization process, rural labor migrants have been suggested to be one important bridge population to change urban-rural distribution on tuberculosis (TB) burden. Aiming to estimate the prevalence of TB infection and to track the active disease development in rural labor migrants, a prospective study was conducted in Shenzhen city, southern China. TB infection was detected using interferon-γ release assay (IGRA). Here we mainly report the characteristics of TB infection in the study population based on the baseline survey. A total of 4,422 eligible participants completed baseline survey in July 2013. QuantiFERON (QFT) positivity rates 17.87% (790/4,422) and was found to be consistent with the local TB epidemic of the areas where the participants immigrated from. Age, smoking, residence registered place, and present of BCG scars were found to be independently associated with QFT positivity. Additionally, evidence for interaction between smoking and age was observed (p for likelihood ratio test < 0.001). Our results suggested that the development of TB control strategy including latent TB infection management should pay more attention to the rural flowing population due to their high mobility and higher prevalence of TB infection.

Indexed as

Rural PopulationTransients and MigrantsUrbanizationAdolescentAdultBCG VaccineChinaFemaleHumansMaleMiddle AgedOdds RatioRisk FactorsSocioeconomic FactorsTuberculosisYoung AdultBCG Vaccine

Identifiers

PMID28667275
PMCPMC5493641
OpenAlexW2706885862

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.