Evidence map›Paper›PMID 31828045›Full record

ArticleFrontiers in cellular and infection microbiology2019

Drug Resistance Characteristics of

Xiaocui Wu, Jinghui Yang, Guangkun Tan, Haican Liu, Yin Liu, Yinjuan Guo, Rongliang Gao, Baoshan Wan, Fangyou Yu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

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  8. Drug resistance characteristics ofEpidemiology and infection · 2022
    Article
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  11. Review
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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 at 4 institutions in 1 country.

Xiaocui WuDepartment of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Jinghui YangDepartment of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Guangkun TanDepartment of Clinical Laboratory, Shanghai University of Traditional Chinese Medical Attached Shuguang Hospital, Shanghai, China.
Haican LiuState Key Laboratory of Infectious Disease Prevention and Control, Chinese Center for Disease Control and Prevention, Beijing, China.
Yin LiuDepartment of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Yinjuan GuoDepartment of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Rongliang GaoDepartment of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Baoshan WanDepartment of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Fangyou YuDepartment of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Shanghai Pulmonary Hospital · CNTongji University · CNChinese Center For Disease Control and Prevention · CNShanghai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AdultAgedAge FactorsAntitubercular AgentsChinaDrug Resistance, Multiple, BacterialExtensively Drug-Resistant TuberculosisFemaleGeographyHumansMaleMicrobial Sensitivity TestsMiddle AgedMycobacterium tuberculosisSex FactorsTuberculosisAntitubercular Agentsdrug resistance characteristicsdrug susceptibility testingMDR-TBMycobacterium tuberculosisXDR-TB

Identifiers

PMID31828045
PMCPMC6849330
OpenAlexW2982746732

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.