Evidence map›Paper›PMID 25165078›Full record

ArticleJournal of clinical microbiology2014

Evaluation of performance of the Real-Q NTM-ID kit for rapid identification of eight nontuberculous mycobacterial species.

Hee Jae Huh, Kyung Sun Park, Mi-Ae Jang, Ji-Youn Kim, Hyeon Jeong Kwon, Chang-Seok Ki, Nam Yong Lee

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Pulmonary non-tuberculous mycobacterial infections: current state and future management.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020
    Review
  3. 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

7 authors.

Hee Jae HuhDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Kyung Sun ParkDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Mi-Ae JangDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Ji-Youn KimCenter for Clinical Medicine, Samsung Biomedical Research Institute, Samsung Medical Center, Seoul, Republic of Korea.
Hyeon Jeong KwonCenter for Clinical Medicine, Samsung Biomedical Research Institute, Samsung Medical Center, Seoul, Republic of Korea.
Chang-Seok KiDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea changski@skku.edu micro.lee@samsung.com.
Nam Yong LeeDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea changski@skku.edu micro.lee@samsung.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated a multiplex real-time PCR and melting curve analysis assay (Real-Q NTM-ID kit; Biosewoom, Seoul, South Korea) for the identification of eight common nontuberculous mycobacterial species, using 30 type strains and 230 consecutive clinical isolates. The concordance rate of this assay with multigene sequence-based typing was 97.0% (223/230 isolates).

Indexed as

Reagent Kits, DiagnosticMycobacterium Infections, NontuberculousNontuberculous MycobacteriaRepublic of KoreaTime FactorsReagent Kits, Diagnostic

Identifiers

PMID25165078
PMCPMC4313269

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.