Evidence map›Paper›PMID 26999135›Full record

ArticleSensors (Basel, Switzerland)2016

Accurate Detection of Rifampicin-Resistant Mycobacterium Tuberculosis Strains.

Keum-Soo Song, Satish Balasaheb Nimse, Hee Jin Kim, Jeongseong Yang, Taisun Kim

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Keum-Soo SongBiometrix Technology, Inc. 202 BioVenture Plaza, Chuncheon 200-161, Korea. hanlimsk@empal.com.
Satish Balasaheb NimseInstitute for Applied Chemistry and Department of Chemistry, Hallym University, Chuncheon 200-702, Korea. satish_nimse@hallym.ac.kr.
Hee Jin KimKorea Mycobacterium Resource Center (KMRC), The Korean Institute of Tuberculosis, Cheongju-si 28158, Korea. hatchingbird@yahoo.co.kr.
Jeongseong YangKorea Mycobacterium Resource Center (KMRC), The Korean Institute of Tuberculosis, Cheongju-si 28158, Korea. nonr@daum.net.
Taisun KimInstitute for Applied Chemistry and Department of Chemistry, Hallym University, Chuncheon 200-702, Korea. tskim@hallym.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2013 alone, the death rate among the 9.0 million people infected with Mycobacterium tuberculosis (TB) worldwide was around 14%, which is unacceptably high. An empiric treatment of patients infected with TB or drug-resistant Mycobacterium tuberculosis (MDR-TB) strain can also result in the spread of MDR-TB. The diagnostic tools which are rapid, reliable, and have simple experimental protocols can significantly help in decreasing the prevalence rate of MDR-TB strain. We report the evaluation of the 9G technology based 9G DNAChips that allow accurate detection and discrimination of TB and MDR-TB-RIF. One hundred and thirteen known cultured samples were used to evaluate the ability of 9G DNAChip in the detection and discrimination of TB and MDR-TB-RIF strains. Hybridization of immobilized probes with the PCR products of TB and MDR-TB-RIF strains allow their detection and discrimination. The accuracy of 9G DNAChip was determined by comparing its results with sequencing analysis and drug susceptibility testing. Sequencing analysis showed 100% agreement with the results of 9G DNAChip. The 9G DNAChip showed very high sensitivity (95.4%) and specificity (100%).

Indexed as

Biosensing TechniquesDrug Resistance, MicrobialHumansMycobacterium tuberculosisRifampinTuberculosis, Multidrug-ResistantRifampinaccuracydiagnosisdrug-resistant tuberculosissensitivityspecificitytuberculosis

Identifiers

PMID26999135
PMCPMC4813951

What OpenQuestion holds

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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.