Evidence map›Paper›PMID 33736667›Full record

ArticleWorld journal of emergency surgery : WJES2021

Prediction of functional loss in emergency surgery is possible with a simple frailty screening tool.

Davide Zattoni, Isacco Montroni, Nicole Marie Saur, Anna Garutti, Maria Letizia Bacchi Reggiani, Federico Ghignone, Giovanni Taffurelli, Giampaolo Ugolini

Open access · goldAbstract read
In one paragraph

Article in World journal of emergency surgery : WJES, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 24 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

8 authors at 3 institutions in 2 countries.

Davide ZattoniDepartment of General Surgery, Policlinico S. Orsola-Malpighi, 40138, Bologna, Italy. davide.zattoni@auslromagna.it.ORCID 0000-0001-7796-1262
Isacco MontroniDepartment of General Surgery, Ospedale per gli Infermi, Viale Stadone, 9, -48018, Faenza, Italy.
Nicole Marie SaurDepartment of Surgery, Division of Colon and Rectal Surgery, University of Pennsylvania, 800 Walnut Street 20th floor, Philadelphia, PA, USA.
Anna GaruttiDepartment of Geriatrics, Policlinico S. Orsola-Malpighi, 40138, Bologna, Italy.
Maria Letizia Bacchi ReggianiDepartment of Cardiology-Statistics division, Policlinico S. Orsola-Malpighi, 40138, Bologna, Italy.
Federico GhignoneDepartment of General Surgery, Ospedale per gli Infermi, Viale Stadone, 9, -48018, Faenza, Italy.
Giovanni TaffurelliDepartment of General Surgery, Ospedale per gli Infermi, Viale Stadone, 9, -48018, Faenza, Italy.
Giampaolo UgoliniDepartment of General Surgery, Policlinico S. Orsola-Malpighi, 40138, Bologna, Italy.
IRCCS Azienda Ospedliero-Universitaria di Bologna Policlinico di Sant'Orsola · ITOspedale per gli Infermi · ITUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSenior adults fear postoperative loss of independence the most, and this might represent an additional burden for families and society. The number of geriatric patients admitted to the emergency room requiring an urgent surgical treatment is rising, and the presence of frailty is the main risk factor for postoperative morbidity and functional decline. Frailty assessment in the busy emergency setting is challenging. The aim of this study is to verify the effectiveness of a very simple five-item frailty screening tool, the Flemish version of the Triage Risk Screening Tool (fTRST), in predicting functional loss after emergency surgery among senior adults who were found to be independent before surgery.

methodsAll consecutive individuals aged 70 years and older who were independent (activity of daily living (ADL) score ≥5) and were admitted to the emergency surgery unit with an urgent need for abdominal surgery between December 2015 and May 2016 were prospectively included in the study. On admission, individuals were screened using the fTRST and additional metrics such as the age-adjusted Charlson Comorbidity Index (CACI) and the ASA score. Thirty- and 90-day complications and postoperative decline in the ADL score where recorded. Regression analysis was performed to identify preoperative predictors of functional loss.

resultsSeventy-eight patients entered the study. Thirty-day mortality rate was 12.8% (10/78), and the 90-day overall mortality was 15.4% (12/78). One in every four patients (17/68) experienced a significant functional loss at 30-day follow-up. At 90-day follow-up, only 3/17 patients recovered, 2 patients died, and 12 remained permanently dependent. On the regression analysis, a statistically significant correlation with functional loss was found for fTRST, CACI, and age≥85 years old both at 30 and 90 days after surgery. fTRST≥2 showed the highest effectiveness in predicting functional loss at 90 days with AUC 72 and OR 6.93 (95% CI 1.71-28.05). The institutionalization rate with the need to discharge patients to a healthcare facility was 7.6% (5/66); all of them had a fTRST≥2.

conclusionfTRST is an easy and effective tool to predict the risk of a postoperative functional decline and nursing home admission in the emergency setting.

Indexed as

AbdomenActivities of Daily LivingAgedAged, 80 and overComorbidityEmergenciesEmergency Service, HospitalFemaleFrail ElderlyFrailtyGeneral SurgeryGeriatric AssessmentHospital MortalityHumansIndependent LivingMaleEmergency surgeryFlemish version of Triage Risk Screening ToolFrailty assessmentFunctional declineFunctional outcome

Identifiers

PMID33736667
PMCPMC7977323
OpenAlexW3138026429

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.