Evidence map›Paper›PMID 39948442›Full record

ArticleBMC infectious diseases2025

Analysis of molecular resistance and associated risk factors in tuberculosis.

Zhenzhen Wang, Tengfei Guo, Liyang Xu, Jinwei Liu, Long Li, Junrong Jin, Qing Zhang, Tao Jiang, Zhanqin Zhao, Yun Xue

Abstract read
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

10 authors.

Zhenzhen WangThe First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luo Yang, 471003, China.
Tengfei GuoThe First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luo Yang, 471003, China.
Liyang XuLuoyang City CDC, Luo Yang, 471000, China.
Jinwei LiuThe First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luo Yang, 471003, China.
Long LiThe First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luo Yang, 471003, China.
Junrong JinThe First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luo Yang, 471003, China.
Qing ZhangThe First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luo Yang, 471003, China.
Tao JiangThe First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luo Yang, 471003, China.
Zhanqin ZhaoAnimal Science and Technology, Henan University of Science and Technology, Luo Yang, 471000, China. zhaozhanqin@126.com.
Yun XueSchool of Medical Technology and Engineering, Henan University of Science and Technology, Luo Yang, 471000, China. xueyun6688@163.com.

Funding

Henan Science and Technology Development Plan 212102310741Joint Construction Project of Henan Province LHGJ20210594National Nature Science Foundation of China 32072899
6 · The paper itself

Abstract

backgroundLocal surveillance of molecular resistance to first-line anti-tuberculosis (TB) drugs and fluoroquinolones (FQs) was initiated in 2019, but existing reports remain limited, hindering effective TB prevention and control efforts. This study aims to investigate molecular resistance to first-line anti-TB drugs and FQs, assess risk factors for FQs resistance, and provide insights into the spread of drug-resistant tuberculosis (DR-TB) to inform more effective control and treatment strategies.

methodsSputum samples from 25,150 non-duplicate patients attending 10 designated TB medical institutions across Luoyang City and all county and township areas under its jurisdiction from January 2019 to December 2023 were analyzed via fluorescence real-time PCR to detect Mycobacterium tuberculosis complex (MTBC)-positive strains. Multicolor melting curve analysis (MMCA) was performed on 4,131 non-repetitive MTBC strains to assess their molecular resistance to first-line anti-TB drugs and FQs. Risk factors for FQs resistance and the impact of first-line anti-TB drug resistance on FQs resistance were also assessed.

resultsBetween 2019 and 2023, 4,131 MTBC strains were collected. Resistance to first-line anti-TB drugs was higher in males, retreated patients, individuals younger than 61 years, and those from the main urban area, compared to females, newly diagnosed patients, individuals over 60 years, and residents of county and township areas (59.1% vs. 46.0%, p < 0.001; 85.6% vs. 52.0%, p < 0.001; 60.2% vs. 47.2%, p < 0.001; 47.1% vs. 69.4%, p < 0.001). The overall FQs resistance rate was 7.9% (327 cases). After adjusting for the interaction with first-line anti-TB drugs, the resistance rates to FQs were significantly higher in patients with isoniazid resistance (INH-R), rifampin resistance (RFP-R), and ethambutol resistance (EMB-R), with odds ratios of 2.61 (95% CI 1.77, 3.84, p = 0.002), 4.64 (95% CI 3.13, 6.89, p < 0.001), and 2.86 (95% CI 2.01, 4.07, p < 0.001), respectively, compared to those without resistance.

conclusionsResistance to first-line anti-TB drugs remains high, underscoring the critical role of FQs in TB management. However, the elevated FQs resistance limits their effectiveness against drug-resistant TB. Strengthening DR-TB surveillance and implementing timely, targeted interventions are essential for controlling the spread of DR-TB and achieving the goals of the "End TB Strategy."

Indexed as

Antitubercular AgentsDrug Resistance, BacterialMycobacterium tuberculosisTuberculosis, Multidrug-ResistantAdolescentAdultAgedChinaFemaleFluoroquinolonesHumansMaleMicrobial Sensitivity TestsMiddle AgedRisk FactorsSputumAntitubercular AgentsFluoroquinolonesDrug resistanceFluoroquinolonesRisk factorsTuberculosis

Identifiers

PMID39948442
PMCPMC11827126

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.