Evidence map›Paper›PMID 30333128›Full record

ArticleJournal of clinical microbiology2019

Rapid Identification of Clinically Relevant

Ye Xu, Bin Liang, Chen Du, Xueshan Tian, Xingshan Cai, Yanjie Hou, Hui Li, Rongrong Zheng, Junlian Li, Yuqin Liu and 4 more

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Proportions ofJournal of clinical tuberculosis and other mycobacterial diseases · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Observational
  11. Article
  12. Evaluation of nucleotide MALDI-TOF-MS for the identification ofFrontiers in cellular and infection microbiology · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Effect of Mixed Infections withInfection and drug resistance · 2022
    Article
  18. Article
  19. Clinical Characteristics and Antimicrobial Susceptibility ofThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Article
  20. 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.

Ye Xu *Engineering Research Centre of Molecular Diagnostics, Ministry of Education, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.
Bin Liang *Engineering Research Centre of Molecular Diagnostics, Ministry of Education, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.
Chen DuEngineering Research Centre of Molecular Diagnostics, Ministry of Education, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.
Xueshan TianEngineering Research Centre of Molecular Diagnostics, Ministry of Education, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.
Xingshan CaiDepartment of Clinical Laboratory, Guangzhou Chest Hospital, Guangzhou, Guangdong, China.
Yanjie HouInfectious Disease Hospital of Heilongjiang province, Haerbin, Heilongjiang, China.
Hui LiTuberculosis Reference Laboratory, Henan Provincial Center for Disease Control and Prevention, Zhengzhou, Henan, China.
Rongrong ZhengDivision of Tuberculosis Control and Prevention, Xiamen Center for Disease Control and Prevention, Xiamen, Fujian, China.
Junlian LiChest Hospital of Xinjiang Uyghur Autonomous Region, Wulumuqi, Xinjiang Uyghur Autonomous Region, China.
Yuqin LiuInfectious Disease Hospital of Heilongjiang province, Haerbin, Heilongjiang, China.
Kaili WangInfectious Disease Hospital of Heilongjiang province, Haerbin, Heilongjiang, China.
Muhammad Ammar AtharEngineering Research Centre of Molecular Diagnostics, Ministry of Education, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.
Yaoju TanDepartment of Clinical Laboratory, Guangzhou Chest Hospital, Guangzhou, Guangdong, China gzchtan@163.com qgli@xmu.edu.cn.
Qingge LiEngineering Research Centre of Molecular Diagnostics, Ministry of Education, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian, China gzchtan@163.com qgli@xmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sustained increase in the incidence of nontuberculous mycobacterial (NTM) infection and the difficulty in distinguishing these infections from tuberculosis constitute an urgent need for NTM species-level identification. The MeltPro Myco assay is the first diagnostic system that identifies 19 clinically relevant mycobacteria in a single reaction based on multicolor melting curve analysis run on a real-time PCR platform. The assay was comprehensively evaluated regarding its analytical and clinical performances. The MeltPro Myco assay accurately identified 51 reference mycobacterial strains to the species/genus level and showed no cross-reactivity with 16 nonmycobacterial strains. The limit of detection was 300 bacilli/ml, and 1% of the minor species was detected in the case of mixed infections. Clinical studies using 1,163 isolates collected from five geographically distinct health care units showed that the MeltPro Myco assay correctly identified 1,159 (99.7%) samples. Further testing with 94 smear-positive sputum samples showed that all samples were correctly identified. Additionally, the entire assay can be performed within 3 h. The results of this study confirmed the efficacy of this assay in the reliable identification of mycobacteria, suggesting that it might potentially be used as a screening tool in regions endemic for tuberculosis.

Indexed as

CoinfectionDNA, BacterialDNA, Ribosomal SpacerHumansMicrobiological TechniquesMolecular Diagnostic TechniquesMycobacterium Infections, NontuberculousNontuberculous MycobacteriaReal-Time Polymerase Chain ReactionReproducibility of ResultsSensitivity and SpecificitySequence Analysis, DNASputumTime FactorsTuberculosisDNA, BacterialDNA, Ribosomal Spacermelting curve analysisnontuberculous mycobacteriareal-time PCRspecies identification

Identifiers

PMID30333128
PMCPMC6322455

What OpenQuestion holds

Textmetadata
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.