Evidence map›Paper›PMID 36980485›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Large-Scale Clinical Evaluation of Rapid Blood Culture Identification Panels for Bloodstream Infections at a Tertiary Hospital.

Min-Kyung So, Soo-Kyung Kim, Hae-Sun Chung, Ji-Yun Bae, Miae Lee

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Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Min-Kyung SoDepartment of Laboratory Medicine, Ewha Womans University College of Medicine, Seoul 07985, Republic of Korea.ORCID 0000-0001-9728-3008
Soo-Kyung KimDepartment of Laboratory Medicine, Ewha Womans University College of Medicine, Seoul 07985, Republic of Korea.ORCID 0000-0001-9406-8628
Hae-Sun ChungDepartment of Laboratory Medicine, Ewha Womans University College of Medicine, Seoul 07985, Republic of Korea.ORCID 0000-0001-6382-4099
Ji-Yun BaeDepartment of Internal Medicine, Ewha Womans University College of Medicine, Seoul 07985, Republic of Korea.
Miae LeeDepartment of Laboratory Medicine, Ewha Womans University College of Medicine, Seoul 07985, Republic of Korea.ORCID 0000-0001-9140-3814

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prompt implementation of optimal antibacterial therapy through the rapid identification of the causative organisms is essential for improving outcomes for critically ill patients with bloodstream infections. We evaluated the clinical performance of the FilmArray blood culture identification (BCID) panel for rapidly identifying causative pathogens in the bloodstream using large-scale clinical samples. We analyzed the results of identification using a BCID panel performed on 2005 positive blood culture bottles from September 2019 to June 2022. Pathogen detection efficiency and interval from Gram staining to identification using the BCID panel were compared to those of conventional identification systems-VITEK MS MALDI-TOF Mass Spectrometer and Vitek2-and antibiotic susceptibility testing-Vitek2. We detected 2167 isolates from 2005 positive blood culture bottles. In these isolates, the BCID panel showed 93% full agreement-both organisms and antimicrobial resistance genes were matched, and no off-target organisms were detected. Species-level discordance was found in 0.6% of tests. Sixty-five isolates (3.0%) were only detected by BCID, whereas 22 isolates (1.0%) from the on-target panel were not detected by BCID. This large-scale study demonstrated that the BCID panel was a reliable and rapid identification method for directly identifying bloodstream pathogens in a positive blood culture.

Indexed as

blood culture identificationbloodstream infectionsFilmArray

Identifiers

PMID36980485
PMCPMC10047266

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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.