Evidence map›Paper›PMID 31290951›Full record

ArticleDatabase : the journal of biological databases and curation2019

MycoResistance: a curated resource of drug resistance molecules in Mycobacteria.

Enyu Dai, Hao Zhang, Xu Zhou, Qian Song, Di Li, Lei Luo, Xinyu Xu, Wei Jiang, Hong Ling

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  6. Review
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  8. Tuberculosis drug resistance profiling based on machine learning: A literature review.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    Review
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 at 2 institutions in 1 country.

Enyu DaiDepartment of Microbiology, Harbin Medical University, Xuefu Road, Nangang District, Harbin, China.
Hao ZhangDepartment of Microbiology, Harbin Medical University, Xuefu Road, Nangang District, Harbin, China.
Xu ZhouDepartment of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Jiangjun Avenue, Jiangning District, Nanjing, P.R. China.
Qian SongDepartment of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Jiangjun Avenue, Jiangning District, Nanjing, P.R. China.
Di LiDepartment of Microbiology, Harbin Medical University, Xuefu Road, Nangang District, Harbin, China.
Lei LuoDepartment of Microbiology, Harbin Medical University, Xuefu Road, Nangang District, Harbin, China.
Xinyu XuDepartment of Microbiology, Harbin Medical University, Xuefu Road, Nangang District, Harbin, China.
Wei JiangDepartment of Biomedical Engineering, College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Jiangjun Avenue, Jiangning District, Nanjing, P.R. China.
Hong LingDepartment of Microbiology, Harbin Medical University, Xuefu Road, Nangang District, Harbin, China.
Harbin Medical University · CNNanjing University of Aeronautics and Astronautics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence and spread of drug-resistant Mycobacterium tuberculosis is of global concern. To improve the understanding of drug resistance in Mycobacteria, numerous studies have been performed to discover diagnostic markers and genetic determinants associated with resistance to anti-tuberculosis drug. However, the related information is scattered in a massive body of literature, which is inconvenient for researchers to investigate the molecular mechanism of drug resistance. Therefore, we manually collected 1707 curated associations between 73 compounds and 132 molecules (including coding genes and non-coding RNAs) in 6 mycobacterial species from 465 studies. The experimental details of molecular epidemiology and mechanism exploration research were also summarized and recorded in our work. In addition, multidrug resistance and extensively drug resistance molecules were also extracted to interpret the molecular mechanisms that are responsible for cross resistance among anti-tuberculosis drugs. Finally, we constructed an omnibus repository named MycoResistance, a user friendly interface to conveniently browse, search and download all related entries. We hope that this elaborate database will serve as a beneficial resource for mechanism explanations, precise diagnosis and effective treatment of drug-resistant mycobacterial strains.

Indexed as

Antitubercular AgentsDatabases, GeneticDrug Resistance, BacterialMycobacteriumData CurationHumansAntitubercular Agents

Identifiers

PMID31290951
PMCPMC6619405
OpenAlexW2959371245

What OpenQuestion holds

Textmetadata
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.