Evidence map›Paper›PMID 29681517›Full record

ArticleThe Lancet. Infectious diseases2018

Internal migration and transmission dynamics of tuberculosis in Shanghai, China: an epidemiological, spatial, genomic analysis.

Chongguang Yang, Liping Lu, Joshua L Warren, Jie Wu, Qi Jiang, Tianyu Zuo, Mingyu Gan, Mei Liu, Qingyun Liu, Kathryn DeRiemer and 6 more

Open access · greenAbstract read
In one paragraph

Article in The Lancet. Infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 4 pooled it
7.8field-weighted citation impact, top 2% 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

81 citing papers in PubMed, 4 syntheses or guidelines pooled it, 133 citations in OpenAlex.

  1. Pooled it
  2. Active Case Finding for Tuberculosis in Migrants: a Systematic Review.Medical archives (Sarajevo, Bosnia and Herzegovina) · 2024
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  5. Quantifying the community transmission ofEmerging microbes & infections · 2026
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21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 3 countries.

Chongguang YangDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT, USA; Key Laboratory of Medical Molecular Virology, Ministry of Education and Health, School of Basic Medical Sciences, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Liping LuDepartment of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China.
Joshua L WarrenDepartment of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA.
Jie WuDepartment of Tuberculosis Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Qi JiangKey Laboratory of Medical Molecular Virology, Ministry of Education and Health, School of Basic Medical Sciences, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Tianyu ZuoKey Laboratory of Medical Molecular Virology, Ministry of Education and Health, School of Basic Medical Sciences, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Mingyu GanKey Laboratory of Medical Molecular Virology, Ministry of Education and Health, School of Basic Medical Sciences, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Mei LiuKey Laboratory of Medical Molecular Virology, Ministry of Education and Health, School of Basic Medical Sciences, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Qingyun LiuKey Laboratory of Medical Molecular Virology, Ministry of Education and Health, School of Basic Medical Sciences, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Kathryn DeRiemerSchool of Medicine, University of California, Davis, Davis, CA, USA.
Jianjun HongDepartment of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China.
Xin ShenDepartment of Tuberculosis Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Caroline ColijnDepartment of Mathematics, Imperial College London, London, UK.
Xiaoqin GuoDepartment of Tuberculosis Control, Songjiang District Center for Disease Control and Prevention, Shanghai, China.
Qian GaoKey Laboratory of Medical Molecular Virology, Ministry of Education and Health, School of Basic Medical Sciences, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China; Shenzhen Center for Chronic Disease Control, Shenzhen, China. Electronic address: qiangao@fudan.edu.cn.
Ted CohenDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT, USA.
Shanghai Public Health Clinical Center · CNYale University · USFudan University · CNShanghai Municipal Center For Disease Control Prevention · CNImperial College London · GBShenzhen Nanshan Center for Chronic Disease Control · CNUniversity of California, Davis · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM · 2009 to 2018
$26.4M
University of California Launching Future Leaders in Global Health Research Training ProgramD43TW009343 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CRAIG R COHEN, Sung-Jae Lee · 2017 to 2026
$14.7M
Institutional Career Development CoreKL2TR001862 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$12.2M
University of California Global Health Institute Program for Fellows and ScholarsR25TW009343 · FIC · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COHEN, CRAIG R, STRATHDEE, STEFFANIE A. · 2012 to 2017
$6.4M
Evaluating health and economic effects of targeted strategies in TB/HIVR01AI112438 · NIAID · YALE UNIVERSITY · PI COHEN, THEODORE H, SALOMON, JOSHUA A · 2014 to 2017
$2.4M
Transmission and virulence of Mycobacterium tuberculosisDP2OD006452 · OD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DERIEMER, KATHRYN L · 2010 to 2010
$2.3M
FIC NIH HHS D43 TW009343FIC NIH HHS R25 TW009343NCATS NIH HHS KL2 TR001862NCATS NIH HHS UL1 TR001863NIAID NIH HHS R01 AI112438NIGMS NIH HHS U54 GM088558NIH HHS DP2 OD006452
6 · The paper itself

Abstract

backgroundMassive internal migration from rural to urban areas poses new challenges for tuberculosis control in China. We aimed to combine genomic, spatial, and epidemiological data to describe the dynamics of tuberculosis in an urban setting with large numbers of migrants.

methodsWe did a population-based study of culture-positive Mycobacterium tuberculosis isolates in Songjiang, Shanghai. We used whole-genome sequencing to discriminate apparent genetic clusters of M tuberculosis sharing identical variable-number-tandem-repeat (VNTR) patterns, and analysed the relations between proximity of residence and the risk of genomically clustered M tuberculosis. Finally, we used genomic, spatial, and epidemiological data to estimate time of infection and transmission links among migrants and residents.

findingsBetween Jan 1, 2009, and Dec 31, 2015, 1620 cases of culture-positive tuberculosis were recorded, 1211 (75%) of which occurred among internal migrants. 150 (69%) of 218 people sharing identical VNTR patterns had isolates within ten single-nucleotide polymorphisms (SNPs) of at least one other strain, consistent with recent transmission of M tuberculosis. Pairs of strains collected from individuals living in close proximity were more likely to be genetically similar than those from individuals who lived far away-for every additional km of distance between patients' homes, the odds that genotypically matched strains were within ten SNPs of each other decreased by about 10% (OR 0·89 [95% CI 0·87-0·91]; p<0·0001). We inferred that transmission from residents to migrants occurs as commonly as transmission from migrants to residents, and we estimated that more than two-thirds of migrants in genomic clusters were infected locally after migration.

interpretationThe primary mechanism driving local incidence of tuberculosis in urban centres is local transmission between both migrants and residents. Combined analysis of epidemiological, genomic, and spatial data contributes to a richer understanding of local transmission dynamics and should inform the design of more effective interventions.

fundingNational Natural Science Foundation of China, National Science and Technology Major Project of China, and US National Institutes of Health.

Indexed as

AdultAgedAged, 80 and overChinaDisease Transmission, InfectiousFemaleGenotypeHumansMaleMiddle AgedMinisatellite RepeatsMolecular EpidemiologyMycobacterium tuberculosisPolymorphism, Single NucleotideRural PopulationSpatial Analysis

Identifiers

PMID29681517
PMCPMC6035060
OpenAlexW2800559610

What OpenQuestion holds

Textmetadata
LicenceTDM
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.