Evidence map›Paper›PMID 30544676›Full record

ArticleInternational journal of environmental research and public health2018

Tuberculosis Transmission in Households and Classrooms of Adolescent Cases Compared to the Community in China.

Dongxiang Pan, Mei Lin, Rushu Lan, Edward A Graviss, Dingwen Lin, Dabin Liang, Xi Long, Huifang Qin, Liwen Huang, Minying Huang and 1 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

11 authors.

Dongxiang PanDepartment of Tuberculosis Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530021, Guangxi, China. gxpandongxiang@163.com.ORCID 0000-0003-2064-8974
Mei LinDepartment of Tuberculosis Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530021, Guangxi, China. gxlinmei@126.com.
Rushu LanDepartment of Tuberculosis Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530021, Guangxi, China. gxlrshu@163.com.
Edward A GravissDepartment of Pathology and Genomic Medicine, The Center for Molecular and Translational Human Infectious Diseases Research, Houston Methodist Research Institute, Houston, TX 77030, USA. eagraviss@houstonmethodist.org.ORCID 0000-0003-1024-5813
Dingwen LinDepartment of Tuberculosis Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530021, Guangxi, China. drldw@163.com.
Dabin LiangDepartment of Tuberculosis Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530021, Guangxi, China. gxmu958@163.com.
Xi LongSchool of Public Health, Guangxi Medical University, Nanning 530021, Guangxi, China. longxi0805@163.com.
Huifang QinDepartment of Tuberculosis Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530021, Guangxi, China. 18778978664@163.com.
Liwen HuangDepartment of Tuberculosis Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530021, Guangxi, China. wenzi0629@126.com.
Minying HuangDepartment of Tuberculosis Prevention and Control, Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control, Nanning 530021, Guangxi, China. hmy9610@163.com.
Virasakdi ChongsuvivatwongEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hatyai 90110, Songkhla, Thailand. cvirasak@medicine.psu.ac.th.ORCID 0000-0002-9850-4463

Funding

TB/MDR-TB Research training and Capacity Strengthening for LMIC in Southeast Asia Phase II: Promotion of Diversity, Equity and Inclusion (DEI)D43TW009522 · FIC · PRINCE OF SONGKLA UNIVERSITY · PI Virasakdi Chongsuvivatwong · 2015 to 2026
$3.0M
FIC NIH HHS D43 TW009522
6 · The paper itself

Abstract

The aim of this paper is to evaluate the link between the history of exposure to tuberculosis (TB) in the household and diagnosed TB cases at school, and to compare the detection rate of active TB among household contacts and classroom contacts of adolescent TB cases with the rates among contacts of healthy controls. From November 2016 to December 2017, a prospective matched case-control study was conducted using passively identified index adolescent student cases from the TB surveillance system and healthy controls (matched by county, school type, sex, age and ethnicity). Contacts in households and classrooms of index cases and of controls were investigated. Matched tabulation of 117 case-control pairs revealed exposure to TB in the household as a strong risk factor (odds ratio (OR) = 21.0, 95% confidence interval (CI): 3.4, 868.6). Forty-five (case detection rate 0.69%) and two (case detection rate 0.03%) new active TB cases were detected among 6512 and 6480 classroom contacts of the index cases and controls, respectively. Having an index case in the classroom significantly increased the risk of classmates contracting active TB (OR = 22.5, 95% CI: 5.9, 191.4). Our findings suggested that previous exposure to TB in the household could lead a child to catch TB at school, then spread TB to classmates.

Indexed as

Contact TracingAdolescentCase-Control StudiesChildChinaFamilyFemaleHumansMaleProspective StudiesSchoolsStudentsTuberculosisYoung Adultadolescentclassroomcontact investigationhouseholdtuberculosis

Identifiers

PMID30544676
PMCPMC6313540

What OpenQuestion holds

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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.