Evidence map›Paper›PMID 34928747›Full record

ArticleAnnals of the Royal College of Surgeons of England2022

A prospective evaluation of the American College of Surgeons Surgical Risk Calculator as a predictor of complications for breast surgery.

M Dube, S Nour, A S Shafee, I Lahart, A Carmichael

Open access · greenAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of the Royal College of Surgeons of England, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Wiser today than yesterday.Annals of the Royal College of Surgeons of England · 2022
    Article
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

5 authors at 5 institutions in 1 country.

M DubeSherwood Forest Hospitals NHS Foundation Trust, UK.
S NourUniversity Hospitals of North Midlands NHS Trust, UK.
A S ShafeeUnited Lincolnshire Hospitals NHS Trust, UK.
I LahartUniversity of Wolverhampton, UK.
A CarmichaelUniversity Hospitals of Derby and Burton NHS Foundation Trust, UK.
Sherwood Forest Hospitals NHS Foundation Trust · GBUnited Lincolnshire Hospitals NHS Trust · GBUniversity Hospitals of Derby and Burton NHS Foundation Trust · GBUniversity Hospitals of North Midlands NHS Trust · GBUniversity of Wolverhampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe infection rates for operative management of breast cancer are often unpredictable and higher than average for a clean surgical procedure (0.8% and 28%). We aimed to assess the effectiveness of the American College of Surgeons (ACS) Surgical Risk Calculator (SRC), a preoperative scoring system to calculate the risk of surgical site infection (SSI) and serious complications following breast surgery.

methodsProspective risk scoring using the SRC on 213 patients in the preoperative clinic and the incidence of SSI and serious complications within 30 days postoperatively was prospectively collected.

resultsThe overall SSI rate in our sample was 5% (

conclusionsACS SRC Score of more than 3 was associated with a higher likelihood of SSI. SRC was able to predict the risk of SSI and serious complications and can be used preoperatively for identification and risk minimisation.

Indexed as

MastectomyAgedBreast NeoplasmsFemaleHumansMiddle AgedPostoperative ComplicationsProspective StudiesRisk FactorsSurgical Wound InfectionBreast cancerComplicationsSurgical site infectionWound infection

Identifiers

PMID34928747
PMCPMC10335295
OpenAlexW4200244735

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.