Evidence map›Paper›PMID 35099610›Full record

Observational studyCurrent microbiology2022

The Impact of Fast Microbiology in Intensive Care Units in the Era of Antibiotic Resistance: An Observational Retrospective Study.

Mirko Muzzi, Bruno Viaggi, Sergio Fabbri, Lorenzo Bechi, Caterina Scirè-Calabrisotto, Gianluca Villa, Stefano Romagnoli

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Current microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. BioFireAntibiotics (Basel, Switzerland) · 2024
    Article
  3. Review
  4. Article
  5. 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.

Mirko MuzziDepartment of Health Sciences, Section of Anaesthesiology, Intensive Care and Pain Medicine, University of Florence, Viale Pieraccini 6, 50139, Florence, Italy. mirko.muzzi@unifi.it.ORCID http://orcid.org/0000-0002-5781-9653
Bruno ViaggiDepartment of Anaesthesia and Intensive Care, Section of Neuroanaesthesia and Reanimation, Azienda Ospedaliero Universitaria Careggi, Largo Brambilla 3, 50139, Florence, Italy.
Sergio FabbriDepartment of Health Sciences, Section of Anaesthesiology, Intensive Care and Pain Medicine, University of Florence, Viale Pieraccini 6, 50139, Florence, Italy.
Lorenzo BechiDepartment of Anaesthesia and Intensive Care, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50139, Florence, Italy.
Caterina Scirè-CalabrisottoDepartment of Health Sciences, Section of Anaesthesiology, Intensive Care and Pain Medicine, University of Florence, Viale Pieraccini 6, 50139, Florence, Italy.
Gianluca VillaDepartment of Health Sciences, Section of Anaesthesiology, Intensive Care and Pain Medicine, University of Florence, Viale Pieraccini 6, 50139, Florence, Italy.
Stefano RomagnoliDepartment of Health Sciences, Section of Anaesthesiology, Intensive Care and Pain Medicine, University of Florence, Viale Pieraccini 6, 50139, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing prevalence of multi-drug-resistant bacteria responsible for bloodstream infections (BSIs) makes therapeutic choices progressively more complex. Fast microbiology quickly detects the presence of pathogens and clinically relevant determinants of antibiotic resistance, offering the potential for early administration of antibiotics. In this retrospective observational study, we comparatively evaluated the performances of FilmArray and the current standard method using blood samples collected from intensive care unit (ICU) patients with suspected BSI. A full agreement with the standard was observed in 97/102 samples (95.1 ± 4.2%), a mismatch in 3/102 samples (2.9 ± 3.2%) and detection failure in 2/102 cases (1.96 ± 2.7%). Statistical analysis demonstrated a near-perfect/perfect level of agreement between the two methods, with an overall degree of agreement of 95%. The high performance demonstrated by the FilmArray could allow a "watch and wait" approach helping clinicians in decision-making processes related to choice and initiation of the antimicrobial therapy, thus avoiding ineffective and excessive use of drugs.

Indexed as

Intensive Care UnitsSepsisAnti-Bacterial AgentsDrug Resistance, MicrobialHumansRetrospective StudiesAnti-Bacterial Agents

Identifiers

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.