Evidence map›Paper›PMID 33926548›Full record

ArticleInfectious diseases of poverty2021

Nontuberculous mycobacteria in China: incidence and antimicrobial resistance spectrum from a nationwide survey.

Chun-Fa Liu, Yi-Meng Song, Wen-Cong He, Dong-Xin Liu, Ping He, Jing-Jing Bao, Xin-Yang Wang, Yan-Ming Li, Yan-Lin Zhao

Abstract read
In one paragraph

Article in Infectious diseases of poverty, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 3 pooled it
–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

53 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Prevalence ofFrontiers in microbiology · 2024
    Pooled it
  4. Review
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  6. Eravacycline forMicrobiology spectrum · 2026
    Article
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  13. Genome and drug resistance analysis ofFrontiers in microbiology · 2026
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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

9 authors.

Chun-Fa Liu *National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Changbai Road 155, Changping, Beijing102206, China.
Yi-Meng Song *National Center of Gerontology, Beijing Hospital, Dongdandahua Road 1, Dongcheng, Beijing, 100730, China.
Wen-Cong HeNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Dong-Xin LiuNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Ping HeNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Jing-Jing BaoNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Xin-Yang WangNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
Yan-Ming Li *National Center of Gerontology, Beijing Hospital, Dongdandahua Road 1, Dongcheng, Beijing, 100730, China. lymyl@263.net.
Yan-Lin Zhao *National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, Changbai Road 155, Changping, Beijing102206, China. Zhaoyl@chinacdc.cn.ORCID http://orcid.org/0000-0002-4510-8643

Funding

Chinese Center for Disease Control and Prevention 59911905National Major Science and Technology Projects of China 2017ZX10304402-001-015
6 · The paper itself

Abstract

backgroundInformation on the prevalence and resistance spectrum of nontuberculous mycobacteria (NTM) in China is mainly based on regional or local data. To estimate the proportion of NTM cases in China, a national survey of NTM pulmonary disease was carried out based on acid-fast positive sputum samples collected in 2013.

methodsSputum samples collected from enrolled presumptive cases in 72 nationwide tuberculosis surveillance sites from the 31 provinces in the mainland of China were cultured using L-J medium at the National tuberculosis reference laboratory (NTRL). MALDI-TOF MS identified the species of re-cultured strains, and minimal inhibitory concentrations (MICs) were determined to evaluate the drug susceptibility of NTM isolates. Data analysis used statistical software SPSS version 22.0 for Windows statistical package.

resultsOf 4917 mycobacterial isolates cultured, 6.4% [317/4917, 95% confidence interval (CI) 5.8%-7.2%] were confirmed as NTM, among which 7.7% (287/3709, 95% CI 6.9%-8.6%) were from the southern region. In inland and coastal China, 87.7% (95% CI 78.7%-93.2%) and 50.0% (95% CI 43.7%-56.3%) of isolates, respectively, were slow-growing mycobacteria (SGM), with the remaining rapid growing mycobacteria (RGM). A total of 29 species were detected, Mycobacterium abscessus had higher clarithromycin-inducible resistance rates than M. massiliense (65.67% vs 2.22%). M. kansasii presented lower resistance rates in linezolid and moxifloxacin than M. avium-intracellulare complex (3.23% vs 66.67%, 0 vs 47.22%) and other SGM (3.23% vs 38%, 0 vs 26%).

conclusionsMore NTM pulmonary disease was observed in the south and coastal China (P < 0.01). SGM was widely distributed, and more RGM are present in southern and coastal China (P < 0.01). The antimicrobial resistance spectrum of different NTM species was significantly different and accurate species identification would be facilitated to NTM pulmonary disease treatment.

Indexed as

Anti-Bacterial AgentsNontuberculous MycobacteriaChinaDrug Resistance, BacterialIncidenceAnti-Bacterial AgentsDrug resistanceNontuberculous mycobacteriaPrevalencePulmonary disease

Identifiers

PMID33926548
PMCPMC8082609

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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.