Evidence map›Paper›PMID 32710123›Full record

ArticleWorld journal of surgery2020

Is the ACS-NSQIP Risk Calculator Accurate in Predicting Adverse Postoperative Outcomes in the Emergency Setting? An Italian Single-center Preliminary Study.

Giovanni Scotton, Giulio Del Zotto, Laura Bernardi, Annalisa Zucca, Susanna Terranova, Stefano Fracon, Lucia Paiano, Davide Cosola, Alan Biloslavo, Nicolò de Manzini

Abstract read
In one paragraph

Article in World journal of surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  11. Evaluation of the ACS-NSQIP Surgical Risk Calculator in Patients with Hepatic Metastases from Colorectal Cancer Undergoing Liver Resection.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 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

10 authors.

Giovanni ScottonDepartment of General Surgery, ASUGI, Cattinara Hospital, Strada di Fiume 447, 34149, Trieste TS, Italy. gioscotton@hotmail.it.ORCID http://orcid.org/0000-0003-2222-3822
Giulio Del ZottoDepartment of General Surgery, ASUGI, Cattinara Hospital, Strada di Fiume 447, 34149, Trieste TS, Italy.
Laura BernardiDepartment of General Surgery, ASUGI, Cattinara Hospital, Strada di Fiume 447, 34149, Trieste TS, Italy.
Annalisa ZuccaDepartment of General Surgery, ASUGI, Cattinara Hospital, Strada di Fiume 447, 34149, Trieste TS, Italy.
Susanna TerranovaDepartment of General Surgery, ASUGI, Cattinara Hospital, Strada di Fiume 447, 34149, Trieste TS, Italy.
Stefano FraconDepartment of General Surgery, ASUGI, Cattinara Hospital, Strada di Fiume 447, 34149, Trieste TS, Italy.
Lucia PaianoDepartment of General Surgery, ASUGI, Cattinara Hospital, Strada di Fiume 447, 34149, Trieste TS, Italy.
Davide CosolaDepartment of General Surgery, ASUGI, Cattinara Hospital, Strada di Fiume 447, 34149, Trieste TS, Italy.
Alan BiloslavoDepartment of General Surgery, ASUGI, Cattinara Hospital, Strada di Fiume 447, 34149, Trieste TS, Italy.
Nicolò de ManziniDepartment of General Surgery, ASUGI, Cattinara Hospital, Strada di Fiume 447, 34149, Trieste TS, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ACS-NSQIP surgical risk calculator (SRC) is an open-access online tool that estimates the chance for adverse postoperative outcomes. The risk is estimated based on 21 patient-related variables and customized for specific surgical procedures. The purpose of this monocentric retrospective study is to validate its predictive value in an Italian emergency setting.

methodsFrom January to December 2018, 317 patients underwent surgical procedures for acute cholecystitis (n = 103), appendicitis (n = 83), gastrointestinal perforation (n = 45), and intestinal obstruction (n = 86). Patients' personal risk was obtained and divided by the average risk to calculate a personal risk ratio (RR). Areas under the ROC curves (AUC) and Brier score were measured to assess both the discrimination and calibration of the predictive model.

resultsThe AUC was 0.772 (95%CI 0.722-0.817, p < 0.0001; Brier 0.161) for serious complications, 0.887 (95%CI 0.847-0.919, p < 0.0001; Brier 0.072) for death, and 0.887 (95%CI 0.847-0.919, p < 0.0001; Brier 0.106) for discharge to nursing or rehab facility. Pneumonia, cardiac complications, and surgical site infection presented an AUC of 0.794 (95%CI 0.746-0.838, p < 0.001; Brier 0.103), 0.836 (95%CI 0.790-0.875, p < 0.0001; Brier 0.081), and 0.729 (95%CI 0.676-0.777, p < 0.0001; Brier 0.131), respectively. A RR > 1.24, RR > 1.52, and RR > 2.63 predicted the onset of serious complications (sensitivity = 60.47%, specificity = 64.07%; NPV = 81%), death (sensitivity = 82.76%, specificity = 62.85%; NPV = 97%), and discharge to nursing or rehab facility (sensitivity = 80.00%, specificity = 69.12%; NPV = 95%), respectively.

conclusionsThe calculator appears to be accurate in predicting adverse postoperative outcomes in our emergency setting. A RR cutoff provides a much more practical method to forecast the onset of a specific type of complication in a single patient.

Indexed as

Postoperative ComplicationsAdultAgedAged, 80 and overArea Under CurveFemaleHumansItalyMaleMiddle AgedRetrospective StudiesRisk Assessment

Identifiers

PMID32710123
PMCPMC7527359

What OpenQuestion holds

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LicenceCC BY
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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.