Evidence map›Paper›PMID 37875313›Full record

ArticleCMAJ open

Validity of hospital diagnostic codes to identify SARS-CoV-2 infections in reference to polymerase chain reaction results: a descriptive study.

Cristiano S Moura, Autumn Neville, Fangming Liao, Bijun Wen, Fahad Razak, Surain Roberts, Amol A Verma, Sasha Bernatsky

Open access · diamondAbstract read
In one paragraph

Article in CMAJ open. 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
4.5field-weighted citation impact, top 5% 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, 12 citations in OpenAlex.

  1. Concordance between ICD-10-AM clinical coding and SARS-CoV-2 PCR testing for COVID-19 in Australian hospitals.Health information management : journal of the Health Information Management Association of Australia · 2026
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  7. Clinical evaluation of a machine learning-based early warning system for patient deterioration.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 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

8 authors at 2 institutions in 2 countries.

Cristiano S MouraFaculty of Medicine (Moura, Bernatsky), McGill University; Research Institute of the McGill University Health Centre (Neville, Bernatsky), Montréal, Que.; Li Ka Shing Knowledge Institute, St. Michael's Hospital (Liao, Wen, Razak, Roberts, Verma), Unity Health Toronto; Department of Medicine (Razak, Verma) and Institute of Health Policy, Management and Evaluation (Razak, Roberts, Verma), University of Toronto, Toronto, Ont.
Autumn NevilleFaculty of Medicine (Moura, Bernatsky), McGill University; Research Institute of the McGill University Health Centre (Neville, Bernatsky), Montréal, Que.; Li Ka Shing Knowledge Institute, St. Michael's Hospital (Liao, Wen, Razak, Roberts, Verma), Unity Health Toronto; Department of Medicine (Razak, Verma) and Institute of Health Policy, Management and Evaluation (Razak, Roberts, Verma), University of Toronto, Toronto, Ont.
Fangming LiaoFaculty of Medicine (Moura, Bernatsky), McGill University; Research Institute of the McGill University Health Centre (Neville, Bernatsky), Montréal, Que.; Li Ka Shing Knowledge Institute, St. Michael's Hospital (Liao, Wen, Razak, Roberts, Verma), Unity Health Toronto; Department of Medicine (Razak, Verma) and Institute of Health Policy, Management and Evaluation (Razak, Roberts, Verma), University of Toronto, Toronto, Ont.
Bijun WenFaculty of Medicine (Moura, Bernatsky), McGill University; Research Institute of the McGill University Health Centre (Neville, Bernatsky), Montréal, Que.; Li Ka Shing Knowledge Institute, St. Michael's Hospital (Liao, Wen, Razak, Roberts, Verma), Unity Health Toronto; Department of Medicine (Razak, Verma) and Institute of Health Policy, Management and Evaluation (Razak, Roberts, Verma), University of Toronto, Toronto, Ont.
Fahad RazakFaculty of Medicine (Moura, Bernatsky), McGill University; Research Institute of the McGill University Health Centre (Neville, Bernatsky), Montréal, Que.; Li Ka Shing Knowledge Institute, St. Michael's Hospital (Liao, Wen, Razak, Roberts, Verma), Unity Health Toronto; Department of Medicine (Razak, Verma) and Institute of Health Policy, Management and Evaluation (Razak, Roberts, Verma), University of Toronto, Toronto, Ont.
Surain RobertsFaculty of Medicine (Moura, Bernatsky), McGill University; Research Institute of the McGill University Health Centre (Neville, Bernatsky), Montréal, Que.; Li Ka Shing Knowledge Institute, St. Michael's Hospital (Liao, Wen, Razak, Roberts, Verma), Unity Health Toronto; Department of Medicine (Razak, Verma) and Institute of Health Policy, Management and Evaluation (Razak, Roberts, Verma), University of Toronto, Toronto, Ont.
Amol A VermaFaculty of Medicine (Moura, Bernatsky), McGill University; Research Institute of the McGill University Health Centre (Neville, Bernatsky), Montréal, Que.; Li Ka Shing Knowledge Institute, St. Michael's Hospital (Liao, Wen, Razak, Roberts, Verma), Unity Health Toronto; Department of Medicine (Razak, Verma) and Institute of Health Policy, Management and Evaluation (Razak, Roberts, Verma), University of Toronto, Toronto, Ont.
Sasha BernatskyFaculty of Medicine (Moura, Bernatsky), McGill University; Research Institute of the McGill University Health Centre (Neville, Bernatsky), Montréal, Que.; Li Ka Shing Knowledge Institute, St. Michael's Hospital (Liao, Wen, Razak, Roberts, Verma), Unity Health Toronto; Department of Medicine (Razak, Verma) and Institute of Health Policy, Management and Evaluation (Razak, Roberts, Verma), University of Toronto, Toronto, Ont. sasha.bernatsky@mcgill.ca.
St Michael’s Hospital · IEUnity Health Toronto

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2020,

methodsGEMINI assembles hospitalization data (including administrative ICD-10 discharge diagnostic codes, laboratory results and demographic data) from hospitals in Ontario, Canada. We studied adults (age ≥ 18 yr) admitted during 2020 and tested at least once for SARS-CoV-2 via polymerase chain reaction (PCR) during (or within 48 h before) hospitalization. With PCR results as the reference standard, we calculated sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for ICD-10 code U07.1 hospital discharge diagnostic codes. Analyses were stratified by demographic data, calendar period and timing of the first test (within or after 48 h of hospital admission).

resultsIn 11 852 hospitalizations with at least 1 SARS-CoV-2 PCR test, 444 (3.7%) were positive. The sensitivity of code U07.1 to identify SARS-CoV-2 infection was 97.8%, specificity was 99.5%, PPV was 88.2% and NPV was 99.9%. Operating characteristics were similar in most stratified analyses, but the specificity and PPV were lower if the first SARS-CoV-2 test was done more than 48 hours after admission.

interpretationThe sensitivity, specificity, PPV and NPV of code U07.1 were high. This supports using code U07.1 to identify SARS-CoV-2 infection in hospitalization data.

Identifiers

PMID37875313
PMCPMC10610021
OpenAlexW4387913355

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.