Evidence map›Paper›PMID 26484854›Full record

ArticleSurgical infections2016

Top Guns: The "Maverick" and "Goose" of Empiric Therapy.

Stephen W Davies, Jimmy T Efird, Christopher A Guidry, Zachary C Dietch, Rhett N Willis, Puja M Shah, Robert G Sawyer

Open access · greenAbstract read
In one paragraph

Article in Surgical infections, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 30 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

7 authors at 2 institutions in 1 country.

Stephen W Davies1 University of Virginia School of Medicine , Department of General Surgery, Charlottesville, Virginia.
Jimmy T Efird2 Biostatistics Unit, Center for Health Disparities, Brody School of Medicine, East Carolina University , Greenville, North Carolina.
Christopher A Guidry1 University of Virginia School of Medicine , Department of General Surgery, Charlottesville, Virginia.
Zachary C Dietch1 University of Virginia School of Medicine , Department of General Surgery, Charlottesville, Virginia.
Rhett N Willis1 University of Virginia School of Medicine , Department of General Surgery, Charlottesville, Virginia.
Puja M Shah1 University of Virginia School of Medicine , Department of General Surgery, Charlottesville, Virginia.
Robert G Sawyer1 University of Virginia School of Medicine , Department of General Surgery, Charlottesville, Virginia.
University of Virginia · USEast Carolina University · US

Funding

Surgical Infectious Diseses and Transplantation Training GrantT32AI078875 · NIAID · UNIVERSITY OF VIRGINIA · PI SAWYER, ROBERT G · 2009 to 2013
$947k
NIAID NIH HHS T32 AI078875
6 · The paper itself

Abstract

backgroundVancomycin and piperacillin-tazobactam are commonly used first guns in the empiric management of critically ill patients. Current studies suggest an increased prevalence of acute kidney injury with concomitant use, however, these studies are few and limited by small sample size. The purpose of this study was to compare the prevalence of nephrotoxicity after treatment with vancomycin alone and concomitant vancomycin and piperacillin-tazobactam treatment at our institution. HYPOTHESIS: Concomitant vancomycin and piperacillin-tazobactam-treated patients will experience greater prevalence of nephrotoxicity compared with vancomycin-only treated patients.

methodsThis was a retrospective cohort of patients treated with vancomycin for gram-positive or mixed infections in our facility from 2005 to 2009 who were not receiving hemodialysis at the time of admission. Included patients were stratified by treatment with vancomycin, vancomycin/piperacillin-tazobactam, or vancomycin/an alternative gram-negative rod (GNR) antibiotic. p values for categorical variables were computed using χ(2) while continuous variables were computed using Kruskal-Wallis. Variables deemed statistically significant (< 0.05) were included in the multivariable, log-binomial regression model. Relative risk (RR) and 95% confidence intervals (CI), and p values were computed using a generalized estimating equation (GEE) approach with robust standard errors (i.e., Huber White "sandwich variance" estimates) to accommodate a correlated data structure corresponding to multiple episodes of infection per individual.

resultsA total of 530 patients with 1,007 episodes of infection, were treated with vancomycin (150 patients/302 episodes of infection), vancomycin/piperacillin-tazobactam (213 patients/372 episodes of infection), or vancomycin/GNR alternative (167 patients/333 episodes of infection). Patient demographics, comorbidities, sites of infection, and organisms of infection were compared among groups. After adjusting for statistically significant variables, neither vancomycin/piperacillin-tazobactam (RR = 1.1, 95% CI = 0.99-1.2; p = 0.073) nor vancomycin/GNR alternative (RR = 1.1, 95% CI = 0.98-1.2; p = 0.097) were found to be associated with an increased risk for nephrotoxicity compared with vancomycin alone.

conclusionA difference in nephrotoxicity was not observed between vancomycin and vancomycin/piperacillin-tazobactam-treated patients at our institution. Concomitant use as empiric therapy is appropriate, although larger sample sizes are needed to analyze closely this relation among at-risk subsets of this population.

Indexed as

AdultAgedAged, 80 and overAnimalsAnti-Bacterial AgentsBacterial InfectionsCritical IllnessDrug-Related Side Effects and Adverse ReactionsFemaleHumansMaleMiddle AgedPenicillanic AcidPiperacillinPiperacillin, Tazobactam Drug CombinationRenal InsufficiencyAnti-Bacterial AgentsPenicillanic AcidPiperacillinPiperacillin, Tazobactam Drug CombinationVancomycin

Identifiers

PMID26484854
PMCPMC4842947
OpenAlexW1812368248

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.