Evidence map›Paper›PMID 31106164›Full record

ArticlePlastic surgery (Oakville, Ont.)2019

A Comparative Analysis of Surgical Wound Infection Methods: Predictive Values of the CDC, ASEPSIS, and Southampton Scoring Systems in Evaluating Breast Reconstruction Surgical Site Infections.

Insiyah Campwala, Kayla Unsell, Subhas Gupta

Abstract read
In one paragraph

Article in Plastic surgery (Oakville, Ont.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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.

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

21 citing papers in PubMed.

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  14. Treatment of mesh infection after inguinal hernia repair: 3-year experience with 120 patients.Hernia : the journal of hernias and abdominal wall surgery · 2023
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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

3 authors.

Insiyah CampwalaDepartment of Plastic Surgery, Loma Linda University School of Medicine, Loma Linda, CA, USA.
Kayla UnsellDepartment of Plastic Surgery, Loma Linda University School of Medicine, Loma Linda, CA, USA.
Subhas GuptaDepartment of Plastic Surgery, Loma Linda University School of Medicine, Loma Linda, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infection is the most significant complication in breast reconstruction surgery. While the Center for Disease Control and Prevention (CDC) is the most prevalent tool for surgical site infection (SSI) diagnosis, ASEPSIS and Southampton scoring methods have been speculated to be more sensitive. The ASEPSIS scoring system previously demonstrated much better interrater reliability than the CDC. We sought to assess the predictive value of various wound scoring methods in breast reconstruction SSIs. A retrospective analysis of all single-institution breast reconstruction infections from January 2013 to June 2016 was performed. Patients' postoperative wound-related complications were collected. Southampton, CDC, and modified ASEPSIS scores-extended to 30 postoperative days-were calculated. Relative predictive values for implant-based reconstruction were evaluated. Among the 22 reviewed cases, ASEPSIS scores greater than 30 resulted in a more than 50% rate of implant-based breast reconstruction failure. There was a significant positive correlation between ASEPSIS score and failure rate (

Indexed as

ASEPSIS scoring systembreast reconstructionCenter for Disease ControlinfectionSouthampton Wound Assessment Scalesurgical site infectionwoundswound scoring

Identifiers

PMID31106164
PMCPMC6505358

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.