Evidence map›Paper›PMID 38136694›Full record

ArticleAntibiotics (Basel, Switzerland)2023

Clinical Impact of Rapid Bacterial Microbiological Identification with the MALDI-TOF MS.

Miriam Uzuriaga, José Leiva, Francisco Guillén-Grima, Marta Rua, José R Yuste

Open access · goldAbstract read
In one paragraph

Article in Antibiotics (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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 15% 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, 9 citations in OpenAlex.

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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 3 institutions in 1 country.

Miriam UzuriagaClinical Microbiology Service, Clínica Universidad de Navarra, 31008 Pamplona, Spain.ORCID 0000-0002-0174-9094
José LeivaClinical Microbiology Service, Clínica Universidad de Navarra, 31008 Pamplona, Spain.ORCID 0000-0002-8380-3161
Francisco Guillén-GrimaHealthcare Research Institute of Navarre (IdiSNA), 31008 Pamplona, Spain.ORCID 0000-0001-9749-8076
Marta RuaClinical Microbiology Service, Clínica Universidad de Navarra, 31008 Pamplona, Spain.
José R YusteHealthcare Research Institute of Navarre (IdiSNA), 31008 Pamplona, Spain.ORCID 0000-0001-8502-9539
Navarre Institute of Health Research · ESClinica Universidad de Navarra · ESInstituto de Salud Carlos III · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid microbiological reports to clinicians are related to improved clinical outcomes. We conducted a 3-year quasi-experimental design, specifically a pretest-posttest single group design in a university medical center, to evaluate the clinical impact of rapid microbiological identification information using MALDI-TOF MS on optimizing antibiotic prescription. A total of 363 consecutive hospitalized patients with bacterial infections were evaluated comparing a historical control group (CG) (n = 183), in which the microbiological information (bacterial identification and antibiotic susceptibility) was reported jointly to the clinician between 18:00 h and 22:00 h of the same day and a prospective intervention group (IG) (n = 180); the bacterial identification information was informed to the clinician as soon as it was available between 12:00 h and 14:00 h and the antibiotic susceptibility between 18:00 h and 22:00 h). We observed, in favor of IG, a statistically significant decrease in the information time (11.44 h CG vs. 4.48 h IG (

Indexed as

antibiotic useclinical impactdiagnosticsMALDI-TOF MSquick information

Identifiers

PMID38136694
PMCPMC10740418
OpenAlexW4389051038

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.