Evidence map›Paper›PMID 26397376›Full record

Trial reportSurgical infections2016

Do Polymicrobial Intra-Abdominal Infections Have Worse Outcomes than Monomicrobial Intra-Abdominal Infections?

Puja M Shah, Brandy L Edwards, Zachary C Dietch, Christopher A Guidry, Stephen W Davies, Sara A Hennessy, Therese M Duane, Patrick J O'Neill, Raul Coimbra, Charles H Cook and 3 more

Abstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Surgical infections, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 28 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

13 authors at 6 institutions in 1 country.

Puja M Shah1 Department of Surgery, University of Virginia , Charlottesville, Virginia.
Brandy L Edwards1 Department of Surgery, University of Virginia , Charlottesville, Virginia.
Zachary C Dietch1 Department of Surgery, University of Virginia , Charlottesville, Virginia.
Christopher A Guidry1 Department of Surgery, University of Virginia , Charlottesville, Virginia.
Stephen W Davies1 Department of Surgery, University of Virginia , Charlottesville, Virginia.
Sara A Hennessy1 Department of Surgery, University of Virginia , Charlottesville, Virginia.
Therese M Duane2 Department of Surgery, John Peter Smith Health Network , Fort Worth, Texas.
Patrick J O'Neill3 Department of Surgery, Maricopa Integrated Health System , Phoenix, Arizona.
Raul Coimbra4 Department of Surgery, University of California San Diego , San Diego, California.
Charles H Cook5 Department of Surgery, Beth Israel Deaconess Medical Center , Boston, Massachusetts.
Reza Askari6 Department of Surgery, Brigham and Women's Hospital , Boston, Massachusetts.
Kimberly Popovsky1 Department of Surgery, University of Virginia , Charlottesville, Virginia.
Robert G Sawyer1 Department of Surgery, University of Virginia , Charlottesville, Virginia.
University of Virginia · USBeth Israel Deaconess Medical Center · USBrigham and Women's Hospital · USJohn Peter Smith Hospital · USUniversity of California, San Diego · USValleywise Health · US

Funding

Postdoctoral Training Grant for MDs in Surgical Oncology ResearchT32CA163177 · NCI · UNIVERSITY OF VIRGINIA · PI Craig Lee Slingluff, Allan Tsung · 2011 to 2026
$4.6M
SIS multicenter study of duration of antibiotics for intraabdominal infectionR01GM081510 · NIGMS · UNIVERSITY OF VIRGINIA · PI SAWYER, ROBERT G · 2007 to 2011
$3.3M
Surgical Infectious Diseses and Transplantation Training GrantT32AI078875 · NIAID · UNIVERSITY OF VIRGINIA · PI SAWYER, ROBERT G · 2009 to 2013
$947k
NCI NIH HHS T32 CA163177NIAID NIH HHS T32 AI078875NIGMS NIH HHS R01 GM081510NIGMS NIH HHS R01GM081510
6 · The paper itself

Abstract

backgroundNumerous studies have demonstrated microorganism interaction through signaling molecules, some of which are recognized by other bacterial species. This interspecies synergy can prove detrimental to the human host in polymicrobial infections. We hypothesized that polymicrobial intra-abdominal infections (IAI) have worse outcomes than monomicrobial infections.

methodsData from the Study to Optimize Peritoneal Infection Therapy (STOP-IT), a prospective, multicenter, randomized controlled trial, were reviewed for all occurrences of IAI having culture results available. Patients in STOP-IT had been randomized to receive four days of antibiotics vs. antibiotics until two days after clinical symptom resolution. Patients with polymicrobial and monomicrobial infections were compared by univariable analysis using the Wilcoxon rank sum, χ(2), and Fisher exact tests.

resultsCulture results were available for 336 of 518 patients (65%). The durations of antibiotic therapy in polymicrobial (n = 225) and monomicrobial IAI (n = 111) were equal (p = 0.78). Univariable analysis demonstrated similar demographics in the two populations. The 37 patients (11%) with inflammatory bowel disease were more likely to have polymicrobial IAI (p = 0.05). Polymicrobial infections were not associated with a higher risk of surgical site infection, recurrent IAI, or death.

conclusionContrary to our hypothesis, polymicrobial IAI do not have worse outcomes than monomicrobial infections. These results suggest polymicrobial IAI can be treated the same as monomicrobial IAI.

Indexed as

AdolescentAdultAgedAged, 80 and overAnti-Bacterial AgentsBacterial InfectionsCoinfectionFemaleHumansIntraabdominal InfectionsMaleMiddle AgedProspective StudiesRecurrenceSurgical Wound InfectionSurvival AnalysisAnti-Bacterial Agents

Identifiers

PMID26397376
PMCPMC4742966
OpenAlexW2107576972

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.