Evidence map›Paper›PMID 36579703›Full record

ReviewQuality management in health care

Guidelines for Triage of COVID-19 Patients Presenting With Multisystemic Symptoms.

Farrokh Alemi, Elina Guralnik, Jee Vang, Janusz Wojtusiak, Rachele Peterson, Amira Roess, Praduman Jain

Open access · greenAbstract readReview
In one paragraph

Review in Quality management in health care. 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
1.0field-weighted citation impact, top 23% 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, 10 citations in OpenAlex.

  1. Article
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  5. Lipoxin AFrontiers in immunology · 2024
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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

7 authors at 1 institution in 3 countries.

Farrokh AlemiDepartments of Health Administration and Policy (Drs Alemi, Vang, and Wojtusiak and Ms Guralnik) and Global and Community Health (Dr Roess), College of Health and Human Services, George Mason University, Fairfax, Virginia; and Vibrent Health, Inc, Fairfax, Virginia (Ms Peterson and Mr Jain).ORCID 0000-0002-7402-9063
Janusz Wojtusiak
Rachele Peterson
Praduman Jain
Apple (Israel) · IL

Funding

DIGITAL HEALTH SOLUTIONS FOR COVID-19: COVID COMMUNITY ACTION AND RESEARCH ENGAGEMENT (COVID-CARE)75N91020C00038 · NCI · VIGNET, INC. · PI JAIN, PRADUMAN · 2020 to 2021
$4.0M
NCI NIH HHS 75N91020C00038
6 · The paper itself

Abstract

BACKGROUND AND

objectivesThis article describes how multisystemic symptoms, both respiratory and nonrespiratory, can be used to differentiate coronavirus disease-2019 (COVID-19) from other diseases at the point of patient triage in the community. The article also shows how combinations of symptoms could be used to predict the probability of a patient having COVID-19.

methodsWe first used a scoping literature review to identify symptoms of COVID-19 reported during the first year of the global pandemic. We then surveyed individuals with reported symptoms and recent reverse transcription polymerase chain reaction (RT-PCR) test results to assess the accuracy of diagnosing COVID-19 from reported symptoms. The scoping literature review, which included 81 scientific articles published by February 2021, identified 7 respiratory, 9 neurological, 4 gastrointestinal, 4 inflammatory, and 5 general symptoms associated with COVID-19 diagnosis. The likelihood ratio associated with each symptom was estimated from sensitivity and specificity of symptoms reported in the literature. A total of 483 individuals were then surveyed to validate the accuracy of predicting COVID-19 diagnosis based on patient symptoms using the likelihood ratios calculated from the literature review. Survey results were weighted to reflect age, gender, and race of the US population. The accuracy of predicting COVID-19 diagnosis from patient-reported symptoms was assessed using area under the receiver operating curve (AROC).

resultsIn the community, cough, sore throat, runny nose, dyspnea, and hypoxia, by themselves, were not good predictors of COVID-19 diagnosis. A combination of cough and fever was also a poor predictor of COVID-19 diagnosis (AROC = 0.56). The accuracy of diagnosing COVID-19 based on symptoms was highest when individuals presented with symptoms from different body systems (AROC of 0.74-0.81); the lowest accuracy was when individuals presented with only respiratory symptoms (AROC = 0.48).

conclusionsThere are no simple rules that clinicians can use to diagnose COVID-19 in the community when diagnostic tests are unavailable or untimely. However, triage of patients to appropriate care and treatment can be improved by reviewing the combinations of certain types of symptoms across body systems.

Indexed as

COVID-19CoughCOVID-19 TestingHumansSARS-CoV-2Triage

Identifiers

PMID36579703
PMCPMC9811482
OpenAlexW4313332639

What OpenQuestion holds

Textmetadata
LicenceTDM
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.