Evidence map›Paper›PMID 34715793›Full record

ArticleBMC infectious diseases2021

Transmission of multidrug-resistant tuberculosis in Shimen community in Shanghai, China: a molecular epidemiology study.

Zhiying Han, Jing Li, Guomei Sun, Kaikan Gu, Yangyi Zhang, Hui Yao, Yuan Jiang

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Dynamics ofPathogens (Basel, Switzerland) · 2022
    Article
  4. 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

7 authors at 1 institution in 1 country.

Zhiying Han *Department of Tuberculosis Prevention and Control, Jing'an District Center for Disease Control and Prevention, Shanghai, 200072, China. zhiying.han728@gmail.com.
Jing Li *Tuberculosis Laboratory, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 200036, China.
Guomei SunDepartment of Tuberculosis Prevention and Control, Jing'an District Center for Disease Control and Prevention, Shanghai, 200072, China.
Kaikan GuDepartment of Tuberculosis Prevention and Control, Jing'an District Center for Disease Control and Prevention, Shanghai, 200072, China.
Yangyi ZhangTuberculosis Laboratory, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 200036, China.
Hui YaoSecond Shimen Road Community Health Center, Shanghai, China.
Yuan JiangTuberculosis Laboratory, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 200036, China. jiangyuan@scdc.sh.cn.
Shanghai Municipal Center For Disease Control Prevention · CN

Funding

National Key Research and Development Program of China 2017YFD0500301Public Health research Project of Science and Technology Committee of Jing'an District, Shanghai 2020GW01
6 · The paper itself

Abstract

backgroundMultidrug-resistant tuberculosis (MDR-TB) has become a major public health problem in China, with mounting evidence suggesting that recent transmission accounts for the majority of MDR-TB. Here we aimed to reveal the transmission pattern of an MDR-TB outbreak in the Jing'an District of Shanghai between 2010 and 2015.

methodsWe used whole-genome sequencing (WGS) to conduct genomic clustering analysis along with field epidemiological investigation to determine the transmission pattern and drug resistance profile of a cluster with ten MDR-TB patients in combining field epidemiological investigation.

resultsThe ten MDR-TB patients with genotypically clustered Beijing lineage strains lived in a densely populated, old alley with direct or indirect contact history. The analysis of genomic data showed that the genetic distances of the ten strains (excluding drug-resistant mutations) were 0-20 single nucleotide polymorphisms (SNPs), with an average distance of 9 SNPs, suggesting that the ten MDR-TB patients were infected and developed the onset of illness by the recent transmission of M. tuberculosis. The genetic analysis confirmed definite epidemiological links between the clustered cases.

conclusionsThe integration of the genotyping tool in routine tuberculosis surveillance can play a substantial role in the detection of MDR-TB transmission events. The leverage of genomic analysis in combination with the epidemiological investigation could further elucidate transmission patterns. Whole-genome sequencing could be integrated into intensive case-finding strategies to identify missed cases of MDR-TB and strengthen efforts to interrupt transmission.

Indexed as

Mycobacterium tuberculosisTuberculosisTuberculosis, Multidrug-ResistantAntitubercular AgentsChinaDrug Resistance, Multiple, BacterialGenotypeHumansMolecular EpidemiologyAntitubercular AgentsMolecular epidemiologyMultidrug-resistant tuberculosisTransmission

Identifiers

PMID34715793
PMCPMC8557015
OpenAlexW3208665756

What OpenQuestion holds

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LicenceCC BY
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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.