Evidence map›Paper›PMID 38544963›Full record

ArticleInfection and drug resistance2024

Whole Genome Sequence-Based Analyses of Drug Resistance Characteristics, Genetic Diversity, and Transmission Dynamics of Drug-Resistant

Jiandong Yang, Yaoqin Lu, Yanggui Chen, Yida Wang, Kai Wang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Infection and drug resistance, 2024. 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
1.9field-weighted citation impact, top 15% 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.

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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

5 authors at 2 institutions in 1 country.

Jiandong YangSchool of Public Health, Xinjiang Medical University, Urumqi, 830017, People's Republic of China.
Yaoqin LuDepartment of Tuberculosis Control and Prevention, Urumqi Center for Disease Control and Prevention, Urumqi, 830026, People's Republic of China.ORCID 0000-0001-8317-0571
Yanggui ChenDepartment of Tuberculosis Control and Prevention, Urumqi Center for Disease Control and Prevention, Urumqi, 830026, People's Republic of China.
Yida WangSchool of Public Health, Xinjiang Medical University, Urumqi, 830017, People's Republic of China.
Kai WangState Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, School of Public Health, Xinjiang Medical University, Urumqi, 830017, People's Republic of China.ORCID 0000-0002-6224-8453
Xinjiang Medical University · CNXinjiang Uygur Autonomous Region Disease Prevention and Control Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to analyze the drug resistance spectrum, genetic diversity, and transmission dynamics to provide a basis for the prevention and control of drug-resistant (DR) tuberculosis (TB) epidemics. Methods: This retrospective study is based on routine national drug resistance surveillance. The demographic, epidemiological, and clinical information on DR-TB patients from 2016 to 2021 was collected and used for phenotypic drug susceptibility testing and whole-genome sequencing. Results: It was indicated that L2.2.1 was the dominant lineage in Urumqi. The drug resistance spectrum in Urumqi was narrow, which means more drug combinations can be used for clinical treatment. Furthermore, mutations identification of drug-resistance gene Conclusion: In the Urumqi, DR-TB has a complex prevalence state, a narrow drug resistance spectrum, and a high clustering rate and burden of drug resistance. To reduce the burden of DR-TB, related research should be strengthened, and the development of prevention, control, and treatment strategies should be accelerated.

Indexed as

Mycobacterium tuberculosisresistancetransmission dynamicsUrumqiwhole genome sequencing

Identifiers

PMID38544963
PMCPMC10967994
OpenAlexW4393120029

What OpenQuestion holds

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Registered trials

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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.