Evidence map›Paper›PMID 36316637›Full record

ArticleBMC infectious diseases2022

Regional distribution of Mycobacterium tuberculosis infection and resistance to rifampicin and isoniazid as determined by high-resolution melt analysis.

Zhenzhen Wang, Tengfei Guo, Tao Jiang, Zhanqin Zhao, Xiangyang Zu, Long Li, Qing Zhang, Yi Hou, Kena Song, Yun Xue

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Zhenzhen WangThe First Affiliated Hospital and Clinical Medical College, Henan University of Science and Technology, 471000, Luo Yang, China.
Tengfei GuoThe First Affiliated Hospital and Clinical Medical College, Henan University of Science and Technology, 471000, Luo Yang, China.
Tao JiangThe First Affiliated Hospital and Clinical Medical College, Henan University of Science and Technology, 471000, Luo Yang, China.
Zhanqin ZhaoAnimal Science and Technology, Henan University of Science and Technology, Luo Yang, 471000, China. zhaozhanqin@126.com.
Xiangyang ZuSchool of Medical Technology and Engineering, Henan University of Science and Technology, Luo Yang, 471000, China.
Long LiThe First Affiliated Hospital and Clinical Medical College, Henan University of Science and Technology, 471000, Luo Yang, China.
Qing ZhangThe First Affiliated Hospital and Clinical Medical College, Henan University of Science and Technology, 471000, Luo Yang, China.
Yi HouLuoyang City CDC, Luo Yang, 471000, China.
Kena SongSchool of Medical Technology and Engineering, Henan University of Science and Technology, Luo Yang, 471000, China.
Yun XueSchool of Medical Technology and Engineering, Henan University of Science and Technology, Luo Yang, 471000, China. xueyun6688@163.com.
Henan University of Science and Technology · CNFirst Affiliated Hospital of Henan University of Science and Technology · CN

Funding

Henan Science and Technology Development Plan 212102310741Joint construction project of Henan Province LHGJ20200589National Nature Science Foundation of China 32072899
6 · The paper itself

Abstract

backgroundIdentifying the transmission mode and resistance mechanism of Mycobacterium tuberculosis (MTB) is key to prevent disease transmission. However, there is a lack of regional data. Therefore, the aim of this study was to identify risk factors associated with the transmission of MTB and regional patterns of resistance to isoniazid (INH) and rifampicin (RFP), as well as the prevalence of multidrug-resistant tuberculosis (MDR-TB).

methodsHigh-resolution melt (HRM) analysis was conducted using sputum, alveolar lavage fluid, and pleural fluid samples collected from 17,515 patients with suspected or confirmed MTB infection in the downtown area and nine counties of Luoyang City from 2019 to 2021.

resultsOf the 17,515 patients, 82.6% resided in rural areas, and 96.0% appeared for an initial screening. The HRM positivity rate was 16.8%, with a higher rate in males than females (18.0% vs. 14.1%, p < 0.001). As expected, a positive sputum smear was correlated with a positive result for HRM analysis. By age, the highest rates of MTB infection occurred in males (22.9%) aged 26-30 years and females (28.1%) aged 21-25. The rates of resistance to RFP and INH and the incidence of MDR were higher in males than females (20.5% vs. 16.1%, p < 0.001, 15.9% vs. 12.0%, p < 0.001 and 12.9% vs. 10.2%, p < 0.001, respectively). The HRM positivity rate was much higher in previously treated patients than those newly diagnosed for MTB infection. Notably, males at the initial screening had significantly higher rates of HRM positive, INH resistance, RFP resistance, and MDR-TB than females (all, p < 0.05), but not those previously treated for MTB infection. The HRM positivity and drug resistance rates were much higher in the urban vs. rural population. By multivariate analyses, previous treatment, age < 51 years, residing in an urban area, and male sex were significantly and positively associated with drug resistance after adjusting for smear results and year of testing.

conclusionMales were at higher risks for MTB infection and drug resistance, while a younger age was associated with MTB infection, resistance to INH and RFP, and MDR-TB. Further comprehensive monitoring of resistance patterns is needed to control the spread of MTB infection and manage drug resistance locally.

Indexed as

Mycobacterium tuberculosisTuberculosis, Multidrug-ResistantAdultAntitubercular AgentsFemaleHumansIsoniazidMaleMicrobial Sensitivity TestsRifampinAntitubercular AgentsIsoniazidRifampinMolecular epidemiologyMultidrug-resistant tuberculosisResistance modelTransmission

Identifiers

PMID36316637
PMCPMC9620668
OpenAlexW4307886217

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.