Evidence map›Paper›PMID 33626939›Full record

ArticleThe Journal of international medical research2021

Performance of TDR-300B and VITEK®2 for the identification of

Lucky Hartati Moehario, Enty Tjoa, Hans Putranata, Shikha Joon, Daniel Edbert, Thomas Robertus

Abstract read
In one paragraph

Article in The Journal of international medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. DecodingFrontiers in cellular and infection microbiology · 2024
    Article
  7. 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

6 authors.

Lucky Hartati MoeharioDepartment of Microbiology, School of Medicine and Sciences, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia.ORCID https://orcid.org/0000-0003-4234-9932
Enty TjoaDepartment of Microbiology, School of Medicine and Sciences, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia.
Hans PutranataDepartment of Microbiology, School of Medicine and Sciences, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia.
Shikha JoonInstitutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Daniel EdbertDepartment of Microbiology, School of Medicine and Sciences, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia.
Thomas RobertusDepartment of Microbiology, Faculty of Medicine, Trisakti University, Jakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAutomated systems are needed for the rapid and accurate diagnosis of

methodsThis analytical study employed a cross-sectional approach. First, 44 clinical isolates of

resultsCompared with the results for VITEK®-MS, the congruence rates for TDR-300B and VITEK®2 were 80.76% (21/26) and 92.30% (24/26), respectively. Further, high sensitivity was observed for TDR-300B and VITEK®2 (95.45% and 100%, respectively). In addition, TDR-300B had a lower positive predictive value and accuracy than VITEK®2, albeit without significance.

conclusionsConclusively, there were no significant differences regarding the diagnostic efficiency of TDR-300B and VITEK®2 for

Indexed as

Gram-Negative BacteriaPseudomonas aeruginosaCross-Sectional StudiesHumansMicrobial Sensitivity TestsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAutomated systemsnosocomial infectionsPseudomonas aeruginosaTDR-300BVITEK®2VITEK®-MS

Identifiers

PMID33626939
PMCPMC7925945

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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.