Evidence map›Paper›PMID 26503187›Full record

SynthesisInfection control and hospital epidemiology2016

Diabetes and Risk of Surgical Site Infection: A Systematic Review and Meta-analysis.

Emily T Martin, Keith S Kaye, Caitlin Knott, Huong Nguyen, Maressa Santarossa, Richard Evans, Elizabeth Bertran, Linda Jaber

2 registry-linked trialsAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Infection control and hospital epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 246 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
246citing papers in PubMed, 13 pooled it
–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.

NCT04444570 unknown statusnot on this mapstarted 2021, after this paper: background citation

Continuous Glycemia Monitoring in Perioperative Period in Patients Undergoing Total Knee or Hip Arthroplasty: a Protocol of Observational Study

TypeobservationalSponsorMedical University of WarsawRan2021 to 2022Enrolled100ConditionsOsteoarthritis, Knee, Osteoarthritis, Hip, Hyperglycemia, Diabetes Mellitus, Type 2ArmsContinuous glycemia measuring device (Dexcom) implantation into the subcutaneous tissue
NCT05363462 nacompletednot on this mapstarted 2022, after this paper: background citation

Use of Topical Broad-spectrum Antibiotics as a Prophylaxis for Surgical Site Infection

TypeinterventionalSponsorUniversidad Autonoma de Nuevo LeonRan2022 to 2024Enrolled75ConditionsSurgical Site Infection, Complication of Surgical ProcedureArmsVancomycin 1000 MG
3 · Its place in the literature

Who cites it

246 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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186 more citing papers are in PubMed but not listed here.

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

8 authors.

Emily T Martin1Department of Epidemiology,University of Michigan School of Public Health,Ann Arbor,Michigan.
Keith S Kaye2Division of Infectious Diseases,Wayne State University and Detroit Medical Center,Detroit,Michigan.
Caitlin Knott3Department of Pharmacy Practice,Eugene Applebaum College of Pharmacy and Health Sciences,Wayne State University,Detroit,Michigan.
Huong Nguyen3Department of Pharmacy Practice,Eugene Applebaum College of Pharmacy and Health Sciences,Wayne State University,Detroit,Michigan.
Maressa Santarossa3Department of Pharmacy Practice,Eugene Applebaum College of Pharmacy and Health Sciences,Wayne State University,Detroit,Michigan.
Richard Evans1Department of Epidemiology,University of Michigan School of Public Health,Ann Arbor,Michigan.
Elizabeth Bertran3Department of Pharmacy Practice,Eugene Applebaum College of Pharmacy and Health Sciences,Wayne State University,Detroit,Michigan.
Linda Jaber3Department of Pharmacy Practice,Eugene Applebaum College of Pharmacy and Health Sciences,Wayne State University,Detroit,Michigan.

Funding

Defining Precursors to VRSA Emergence: Epidemiology of MRSA & VRE Dual InfectionK01AI099006 · NIAID · WAYNE STATE UNIVERSITY · PI MARTIN, EMILY TOTH · 2012 to 2016
$641k
NIAID NIH HHS K01 AI099006NIAID NIH HHS K01AI099006
6 · The paper itself

Abstract

OBJECTIVE To determine the independent association between diabetes and surgical site infection (SSI) across multiple surgical procedures. DESIGN Systematic review and meta-analysis. METHODS Studies indexed in PubMed published between December 1985 and through July 2015 were identified through the search terms "risk factors" or "glucose" and "surgical site infection." A total of 3,631 abstracts were identified through the initial search terms. Full texts were reviewed for 522 articles. Of these, 94 articles met the criteria for inclusion. Standardized data collection forms were used to extract study-specific estimates for diabetes, blood glucose levels, and body mass index (BMI). A random-effects meta-analysis was used to generate pooled estimates, and meta-regression was used to evaluate specific hypothesized sources of heterogeneity. RESULTS The primary outcome was SSI, as defined by the Centers for Disease Control and Prevention surveillance criteria. The overall effect size for the association between diabetes and SSI was odds ratio (OR)=1.53 (95% predictive interval [PI], 1.11-2.12; I2, 57.2%). SSI class, study design, or patient BMI did not significantly impact study results in a meta-regression model. The association was higher for cardiac surgery 2.03 (95% PI, 1.13-4.05) compared with surgeries of other types (P=.001). CONCLUSIONS These results support the consideration of diabetes as an independent risk factor for SSIs for multiple surgical procedure types. Continued efforts are needed to improve surgical outcomes for diabetic patients. Infect. Control Hosp. Epidemiol. 2015;37(1):88-99.

Indexed as

Blood GlucoseDiabetes MellitusHumansHyperglycemiaOdds RatioRisk FactorsSurgical Procedures, OperativeSurgical Wound InfectionBlood Glucose

Identifiers

PMID26503187
PMCPMC4914132

What OpenQuestion holds

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Read underepoch 390

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.