Evidence map›Paper›PMID 33539583›Full record

ArticleThe oncologist2021

Feasibility and Predictive Performance of a Triage System for Patients with Cancer During the COVID-19 Pandemic.

Gianpiero Fasola, Giacomo Pelizzari, Diego Zara, Giada Targato, Giuseppe Petruzzellis, Alessandro Marco Minisini, Alessandra Bin, Raffaela Donato, Mauro Mansutti, Chiara Comuzzi and 3 more

Open access · bronzeAbstract read
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Article in The oncologist, 2021. 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
0.4field-weighted citation impact, top 39% 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, 4 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

13 authors at 1 institution in 1 country.

Gianpiero FasolaDepartment of Oncology, Santa Maria della Misericordia Hospital, Udine, Italy.
Giacomo PelizzariDepartment of Oncology, Santa Maria della Misericordia Hospital, Udine, Italy.ORCID 0000-0003-1224-9906
Diego ZaraDepartment of Oncology, Santa Maria della Misericordia Hospital, Udine, Italy.
Giada TargatoDepartment of Oncology, Santa Maria della Misericordia Hospital, Udine, Italy.
Giuseppe PetruzzellisDepartment of Hematology, Santa Maria della Misericordia Hospital, Udine, Italy.
Alessandro Marco MinisiniDepartment of Oncology, Santa Maria della Misericordia Hospital, Udine, Italy.
Alessandra BinDepartment of Oncology, Santa Maria della Misericordia Hospital, Udine, Italy.
Raffaela DonatoDepartment of Oncology, Santa Maria della Misericordia Hospital, Udine, Italy.
Mauro MansuttiDepartment of Oncology, Santa Maria della Misericordia Hospital, Udine, Italy.
Chiara ComuzziDepartment of Hematology, Santa Maria della Misericordia Hospital, Udine, Italy.
Anna CandoniDepartment of Hematology, Santa Maria della Misericordia Hospital, Udine, Italy.
Alessandra SperottoDepartment of Hematology, Santa Maria della Misericordia Hospital, Udine, Italy.
Renato FaninDepartment of Hematology, Santa Maria della Misericordia Hospital, Udine, Italy.
Ospedale Santa Maria della Misericordia di Udine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTriage procedures have been implemented to limit hospital access and minimize infection risk among patients with cancer during the coronavirus disease (COVID-19) outbreak. In the absence of prospective evidence, we aimed to evaluate the predictive performance of a triage system in the oncological setting. MATERIALS AND

methodsThis retrospective cohort study analyzes hospital admissions to the oncology and hematology department of Udine, Italy, during the COVID-19 pandemic (March 30 to April 30, 2020). A total of 3,923 triage procedures were performed, and data of 1,363 individual patients were reviewed.

resultsA self-report triage questionnaire identified 6% of triage-positive procedures, with a sensitivity of 66.7% (95% confidence interval [CI], 43.0%-85.4%), a specificity of 94.3% (95% CI, 93.5%-95.0%), and a positive predictive value of 5.9% (95% CI, 4.3%-8.0%) for the identification of patients who were not admitted to the hospital after medical review. Patients with thoracic cancer (odds ratio [OR], 1.69; 95% CI, 1.13-2.53, p = .01), younger age (OR, 1.52; 95% CI, 1.15-2.01, p < .01), and body temperature at admission ≥37°C (OR, 9.52; 95% CI, 5.44-16.6, p < .0001) had increased risk of positive triage. Direct hospital access was warranted to 93.5% of cases, a further 6% was accepted after medical evaluation, whereas 0.5% was refused at admission.

conclusionA self-report questionnaire has a low positive predictive value to triage patients with cancer and suspected severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) symptoms. Differential diagnosis with tumor- or treatment-related symptoms is always required to avoid unnecessary treatment delays. Body temperature measurement improves the triage process's overall sensitivity, and widespread SARS-CoV-2 testing should be implemented to identify asymptomatic carriers. IMPLICATIONS FOR PRACTICE: This is the first study to provide data on the predictive performance of a triage system in the oncological setting during the coronavirus disease outbreak. A questionnaire-based triage has a low positive predictive value to triage patients with cancer and suspected severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) symptoms, and a differential diagnosis with tumor- or treatment-related symptoms is mandatory to avoid unnecessary treatment delays. Consequently, adequate recourses should be reallocated for a triage implementation in the oncological setting. Of note, body temperature measurement improves the overall sensitivity of the triage process, and widespread testing for SARS-CoV-2 infection should be implemented to identify asymptomatic carriers.

Indexed as

AgedAsymptomatic InfectionsBody TemperatureCOVID-19COVID-19 TestingDiagnosis, DifferentialFeasibility StudiesFemaleHumansItalyMaleMiddle AgedNeoplasmsPandemicsPredictive Value of TestsRetrospective StudiesCancerContainment measuresCOVID-19SARS-CoV-2Triage

Identifiers

PMID33539583
PMCPMC8014855
OpenAlexW3128737776

What OpenQuestion holds

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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.