Evidence map›Paper›PMID 38947088›Full record

ArticleResearch square2024

Swab Testing to Optimize Pneumonia treatment with empiric Vancomycin (STOP-Vanc): study protocol for a randomized controlled trial.

Jeffrey A Freiberg, Justin K Siemann, Edward T Qian, Benjamin J Ereshefsky, Cassandra Hennessy, Joanna L Stollings, Taylor M Rali, Frank E Harrell, Cheryl L Gatto, Todd W Rice and 2 more

Registry-linked trialAbstract readPreprint
In one paragraph

Article in Research square, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06272994 (Swab Testing to Optimize Pneumonia Treatment With Empiric Vancomycin), which is not on this map. Not yet cited in PubMed.

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

NCT06272994 nacompletednot on this map

Swab Testing to Optimize Pneumonia Treatment With Empiric Vancomycin (STOP-Vanc)

TypeinterventionalSponsorVanderbilt University Medical CenterRan2024 to 2025Enrolled277ConditionsCommunity-acquired PneumoniaArmsMRSA Nasal Swab PCR
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Jeffrey A FreibergDivision of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Justin K SiemannVanderbilt Institute for Clinical & Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Edward T QianDivision of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Benjamin J EreshefskyDepartment of Pharmaceutical Services, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Cassandra HennessyDepartment of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Joanna L StollingsDepartment of Pharmaceutical Services, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Taylor M RaliMedical Intensive Care Unit, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Frank E HarrellDepartment of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Cheryl L GattoVanderbilt Institute for Clinical & Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Todd W RiceVanderbilt Institute for Clinical & Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
George E NelsonDivision of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Vanderbilt Center for Learning Healthcare

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
Elucidating the mechanisms of antibiotic tolerance in Staphylococcus aureus biofilmsF32AI169905 · NIAID · VANDERBILT UNIVERSITY MEDICAL CENTER · PI FREIBERG, JEFFREY ALEXANDER · 2022 to 2023
$148k
NCATS NIH HHS UL1 TR002243NIAID NIH HHS F32 AI169905
6 · The paper itself

Abstract

Background: Vancomycin, an antibiotic with activity against Methicillin-resistant Methods: STOP-Vanc is a pragmatic, prospective, single center, non-blinded randomized trial. Adult patients with suspicion for CAP who are receiving vancomycin and admitted to the Medical Intensive Care Unit at Vanderbilt University Medical Center will be screened for eligibility. Eligible patients will be enrolled and randomized in a 1:1 ratio to either receive MRSA nasal swab PCR testing in addition to usual care (intervention group), or usual care alone (control group). PCR testing results will be transmitted through the electronic health record to the treating clinicians. Primary providers of intervention group patients with negative swab results will also receive a page providing clinical guidance recommending discontinuation of vancomycin. The primary outcome will be vancomycin-free hours alive, defined as the number of hours alive and free of the use of vancomycin within the first seven days following trial enrollment estimated using a proportional odds ratio model. Secondary outcomes include 30-day all-cause mortality and time alive off vancomycin. Discussion: STOP-Vanc will provide the first randomized controlled trial data regarding the use of MRSA nasal swab PCR testing to guide antibiotic de-escalation. This study will provide important information regarding the effect of MRSA PCR testing and antimicrobial stewardship guidance on clinical outcomes in an intensive care unit setting. Trial registration: This trial was registered on ClinicalTrials.gov on February 22, 2024. (ClinicalTrials.gov identifier: NCT06272994).

Indexed as

antimicrobial stewardshipcommunity-acquired pneumoniaICUMethicillin-resistant Staphylococcus aureusMRSA nasal swabPCR testingvancomycin

Identifiers

PMID38947088
PMCPMC11213174

What OpenQuestion holds

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Registered trials

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.