Evidence map›Paper›PMID 38066745›Full record

ArticleDiagnostics (Basel, Switzerland)2023

The Impact of the Rapid Blood Culture Identification Panel on Antibiotic Treatment and Clinical Outcomes in Bloodstream Infections, Particularly Those Associated with Multidrug-Resistant Micro-Organisms.

Ji-Yun Bae, Jiyeon Bae, Min-Kyung So, Hee-Jung Choi, Miae Lee

Open access · goldAbstract read
In one paragraph

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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% of its field
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 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Impact of Rapid Blood Culture Identification on Antibiotic De-escalation at a Veterans Affairs Medical Center.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2025
    Article
  6. Article
  7. Observational
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 at 1 institution in 1 country.

Ji-Yun BaeDepartment of Internal Medicine, Ewha Womans University College of Medicine, Seoul 07985, Republic of Korea.ORCID 0000-0002-7475-4564
Jiyeon BaeDepartment of Internal Medicine, Ewha Womans University College of Medicine, Seoul 07985, Republic of Korea.ORCID 0000-0001-6348-9892
Min-Kyung SoDepartment of Laboratory Medicine, Ewha Womans University College of Medicine, Seoul 07985, Republic of Korea.ORCID 0000-0001-9728-3008
Hee-Jung ChoiDepartment 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
Ewha Womans University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated the impact of the FilmArray blood culture identification (BCID) panel on the time taken to administer effective antibiotics and the clinical outcomes of bloodstream infections. We retrospectively screened patients with bloodstream infections who underwent BCID testing and compared them to a historical control group that received conventional culture testing. A total of 144 and 214 patients who underwent BCID and conventional cultures, respectively, were compared. The 30-day mortality (BCID: 9.7% vs. conventional method: 10.7%,

Indexed as

antimicrobial drug resistancebacteremiablood culturemultiplex polymerase chain reaction

Identifiers

PMID38066745
PMCPMC10706406
OpenAlexW4388905733

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.