Evidence map›Paper›PMID 38156236›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2023

Patient predictors of pathogenic versus commensal Gram-positive bacilli organisms isolated from blood cultures.

Arjun Sharma, Marion Elligsen, Nick Daneman, Philip W Lam

Open access · goldAbstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Arjun SharmaDepartment of Medicine, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0009-0008-3314-2722
Marion ElligsenDepartment of Pharmacy, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Nick DanemanDepartment of Medicine, University of Toronto, Toronto, ON, Canada.
Philip W LamDepartment of Medicine, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0001-5677-4660
Sunnybrook Health Science Centre · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Gram-positive bacilli represent a diverse species of bacteria that range from commensal flora to pathogens implicated in severe and life-threatening infection. Following the isolation of Gram-positive bacilli from blood cultures, the time to species identification may take upward of 24 hours, leaving clinicians to conjecture whether they may represent a contaminant (inadvertent inoculation of commensal flora) or pathogenic organism. In this study, we sought to identify patient variables that could help predict the isolation of contaminant versus pathogenic Gram-positive bacilli from blood cultures. Design: Retrospective cohort study. Settings: One quaternary academic medical center affiliated with the University of Toronto. Patients: Adult inpatients were admitted to hospital over a 5-year period (May 2014 to December 2019). Methods: A total of 260 unique Gram-positive bacilli blood culture results from adult inpatients were reviewed and analyzed in both a univariable and multivariable model. Results: Malignancy (aOR 2.78, 95% CI 1.33-5.91, Conclusion: Such predictors can help supplement a clinician's assessment on determining when empirical therapy is indicated when faced with Gram-positive bacilli from blood cultures and may direct future stewardship interventions for responsible antimicrobial prescribing.

Identifiers

PMID38156236
PMCPMC10753492
OpenAlexW4389924755

What OpenQuestion holds

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LicenceCC BY
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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.