Evidence map›Paper›PMID 34857584›Full record

ArticleBMJ open2021

CCEDRRN COVID-19 Infection Score (CCIS): development and validation in a Canadian cohort of a clinical risk score to predict SARS-CoV-2 infection in patients presenting to the emergency department with suspected COVID-19.

Andrew D McRae, Corinne M Hohl, Rhonda Rosychuk, Shabnam Vatanpour, Gelareh Ghaderi, Patrick M Archambault, Steven C Brooks, Ivy Cheng, Philip Davis, Jake Hayward and 8 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04702945 (Canadian COVID-19 Emergency Department Rapid Response Network), which is not on this map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 17% 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.

NCT04702945 unknown statusnot on this map

Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN) - Population-based Registry of Suspected and Confirmed COVID-19 Cases

Typeobservational_patient_registrySponsorUniversity of British ColumbiaRan2020 to 2023Enrolled200,000ConditionsCovid-19
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. The response of Canada's clinical health research ecosystem to the COVID-19 pandemic.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2024
    Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Observational
  13. Reducing barriers to accessing administrative data on SARS-CoV-2 vaccination for research.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2022
    Article
  14. Observational
  15. 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

18 authors at 11 institutions in 1 country.

Andrew D McRaeDepartment of Emergency Medicine, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada amcrae@ucalgary.ca.ORCID 0000-0003-2743-4290
Corinne M HohlDepartment of Emergency Medicine, The University of British Columbia Faculty of Medicine, Vancouver, British Columbia, Canada.
Rhonda RosychukDepartment of Paediatrics, University of Alberta Faculty of Medicine & Dentistry, Edmonton, Alberta, Canada.
Shabnam VatanpourDepartment of Emergency Medicine, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada.
Gelareh GhaderiDepartment of Emergency Medicine, The University of British Columbia Faculty of Medicine, Vancouver, British Columbia, Canada.
Patrick M ArchambaultDepartment of Emergency Medicine, Universite Laval Faculte de medecine, Quebec, Quebec, Canada.
Steven C BrooksDepartment of Emergency Medicine, Queen's University School of Medicine, Kingston, Ontario, Canada.
Ivy ChengDepartment of Emergency Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Philip DavisDepartment of Emergency Medicine, University of Saskatchewan College of Medicine, Saskatoon, Saskatchewan, Canada.
Jake HaywardDepartment of Emergency Medicine, University of Alberta Faculty of Medicine & Dentistry, Edmonton, Alberta, Canada.
Eddy LangDepartment of Emergency Medicine, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada.ORCID 0000-0003-0850-4337
Robert OhleDepartment of Emergency Medicine, Northern Ontario School of Medicine, Thunder Bay, Ontario, Canada.
Brian RoweDepartment of Emergency Medicine, University of Alberta Faculty of Medicine & Dentistry, Edmonton, Alberta, Canada.
Michelle WelsfordDepartment of Emergency Medicine, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada.
Krishan YadavDepartment of Emergency Medicine, University of Ottawa Faculty of Medicine, Ottawa, Ontario, Canada.
Laurie J MorrisonDepartment of Emergency Medicine, St Michael's Hospital, Toronto, Ontario, Canada.
Jeffrey PerryDepartment of Emergency Medicine, University of Ottawa Faculty of Medicine, Ottawa, Ontario, Canada.
Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN) investigators for the Network of Canadian Emergency Researchers and the Canadian Critical Care Trials Group
University of Alberta · CAUniversity of Calgary · CAUniversity of British Columbia · CAUniversity of Ottawa · CAMcMaster University · CANOSM University · CAQueen's University · CASt. Michael's Hospital · CASunnybrook Health Science Centre · CAUniversité Laval · CAUniversity of Saskatchewan · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo develop and validate a clinical risk score that can accurately quantify the probability of SARS-CoV-2 infection in patients presenting to an emergency department without the need for laboratory testing.

designCohort study of participants in the Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN) registry. Regression models were fitted to predict a positive SARS-CoV-2 test result using clinical and demographic predictors, as well as an indicator of local SARS-CoV-2 incidence.

setting32 emergency departments in eight Canadian provinces.

participants27 665 consecutively enrolled patients who were tested for SARS-CoV-2 in participating emergency departments between 1 March and 30 October 2020.

main outcome measuresPositive SARS-CoV-2 nucleic acid test result within 14 days of an index emergency department encounter for suspected COVID-19 disease.

resultsWe derived a 10-item CCEDRRN COVID-19 Infection Score using data from 21 743 patients. This score included variables from history and physical examination and an indicator of local disease incidence. The score had a c-statistic of 0.838 with excellent calibration. We externally validated the rule in 5295 patients. The score maintained excellent discrimination and calibration and had superior performance compared with another previously published risk score. Score cut-offs were identified that can rule-in or rule-out SARS-CoV-2 infection without the need for nucleic acid testing with 97.4% sensitivity (95% CI 96.4 to 98.3) and 95.9% specificity (95% CI 95.5 to 96.0).

conclusionsThe CCEDRRN COVID-19 Infection Score uses clinical characteristics and publicly available indicators of disease incidence to quantify a patient's probability of SARS-CoV-2 infection. The score can identify patients at sufficiently high risk of SARS-CoV-2 infection to warrant isolation and empirical therapy prior to test confirmation while also identifying patients at sufficiently low risk of infection that they may not need testing. TRIAL REGISTRATION NUMBER: NCT04702945.

Indexed as

COVID-19CanadaCohort StudiesEmergency Service, HospitalHumansRisk FactorsSARS-CoV-2accident & emergency medicineCOVID-19epidemiology

Identifiers

PMID34857584
PMCPMC8640195
OpenAlexW3217435815

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.