Evidence map›Paper›PMID 34512572›Full record

ArticleFrontiers in microbiology2021

Ultra-Rapid Drug Susceptibility Testing for

Jiazhen Chen, Xuyang Wang, Shiyong Wang, Chen Chen, Wenhong Zhang, Ying Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2021. 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
0.3field-weighted citation impact, top 54% 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, 4 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

6 authors at 2 institutions in 1 country.

Jiazhen ChenShanghai Key Laboratory Infectious Diseases and Biosafety Emergency Response, Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Xuyang WangShanghai Key Laboratory Infectious Diseases and Biosafety Emergency Response, Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Shiyong WangShanghai Key Laboratory Infectious Diseases and Biosafety Emergency Response, Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Chen ChenShanghai Key Laboratory Infectious Diseases and Biosafety Emergency Response, Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Wenhong ZhangShanghai Key Laboratory Infectious Diseases and Biosafety Emergency Response, Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Ying ZhangShanghai Key Laboratory Infectious Diseases and Biosafety Emergency Response, Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, China.
Huashan Hospital · CNFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to optimize and validate the drug susceptibility test (DST) assay by SYBR Green I/PI (SG-PI) method using a panel of 89

methodsBy staining with SYBR Green I and PI dyes, green fluorescence and red fluorescence, which linearly correlated with the percentages of live and dead or membrane damaged cells, respectively, were used to produce two standard curves to calculate the relative cell membrane impermeable rates for each log and stationary phase cultures. Stationary phase

resultsData showed that after antibiotic treatment for 30-60 min, the antibiotic-resistant

conclusionWe demonstrate that our novel SG-PI assay can accurately and stably detect resistance to different antibiotics in clinical isolates of

Indexed as

antibiotic resistancedrug susceptibility testingKlebsiella pneumoniaeSYBR Green I/PI viability assayultra-rapid

Identifiers

PMID34512572
PMCPMC8431398
OpenAlexW3197576323

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.