Evidence map›Paper›PMID 31057494›Full record

ArticleFrontiers in microbiology2019

Clinical Validation of the QMAC-DST System for Testing the Drug Susceptibility of

Sangyeop Lee, Daehyun Chu, Youn Mi Choi, EunJi Jo, Suyeoun Kim, Haeun Kim, Hyun Jung Kim, Jeonghyun Chang, Heungsup Sung, Geumrae Kang and 4 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2019. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Drug Resistance and Molecular Characteristics ofJournal of personalized medicine · 2022
    Article
  3. Article
  4. Article
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

14 authors.

Sangyeop LeeQuantaMatrix Inc., Seoul, South Korea.
Daehyun ChuDepartment of Laboratory Medicine University of Ulsan College of Medicine and Asan Medical Center, Seoul, South Korea.
Youn Mi ChoiVeterans Health Service Medical Center, Seoul, South Korea.
EunJi JoQuantaMatrix Inc., Seoul, South Korea.
Suyeoun KimQuantaMatrix Inc., Seoul, South Korea.
Haeun KimQuantaMatrix Inc., Seoul, South Korea.
Hyun Jung KimQuantaMatrix Inc., Seoul, South Korea.
Jeonghyun ChangDepartment of Laboratory Medicine University of Ulsan College of Medicine and Asan Medical Center, Seoul, South Korea.
Heungsup SungDepartment of Laboratory Medicine University of Ulsan College of Medicine and Asan Medical Center, Seoul, South Korea.
Geumrae KangQuantaMatrix Inc., Seoul, South Korea.
Bonghwan JinQuantaMatrix Inc., Seoul, South Korea.
Eun-Geun KimQuantaMatrix Inc., Seoul, South Korea.
Sunghoon KwonQuantaMatrix Inc., Seoul, South Korea.
Mi-Na KimDepartment of Laboratory Medicine University of Ulsan College of Medicine and Asan Medical Center, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a high demand for novel approaches to counter the various challenges of conventional drug susceptibility testing (DST) for tuberculosis, the most prevalent infectious disease with significant global mortality. The QMAC-DST system was recently developed for rapid DST using image technology to track the growth of single cells of

Indexed as

clinical validationdrug susceptibility testingLowenstein-Jensen mediaMycobacterium tuberculosisrifampin

Identifiers

PMID31057494
PMCPMC6477073

What OpenQuestion holds

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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.