Evidence map›Paper›PMID 32998038›Full record

ArticleThe Journal of infection2020

Clinical characteristics, symptoms and outcomes of 1054 adults presenting to hospital with suspected COVID-19: A comparison of patients with and without SARS-CoV-2 infection.

Nathan J Brendish, Stephen Poole, Vasanth V Naidu, Christopher T Mansbridge, Nicholas Norton, Florina Borca, Hang Tt Phan, Helen Wheeler, Matthew Harvey, Laura Presland and 1 more

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
0.8field-weighted citation impact, top 16% 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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Nathan J BrendishSchool of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK; Department of Infection, University Hospital Southampton NHS Foundation Trust, Southampton, UK. Electronic address: n.brendish@soton.ac.uk.
Stephen PooleSchool of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK; Department of Infection, University Hospital Southampton NHS Foundation Trust, Southampton, UK; NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS, Foundation Trust, Southampton, UK.
Vasanth V NaiduDepartment of Infection, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Christopher T MansbridgeDepartment of Infection, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Nicholas NortonDepartment of Infection, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Florina BorcaNIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS, Foundation Trust, Southampton, UK; Clinical Informatics Research Unit, Faculty of Medicine, University of Southampton, Southampton, UK.
Hang Tt PhanNIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS, Foundation Trust, Southampton, UK; Clinical Informatics Research Unit, Faculty of Medicine, University of Southampton, Southampton, UK.
Helen WheelerNIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS, Foundation Trust, Southampton, UK.
Matthew HarveyNIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS, Foundation Trust, Southampton, UK.
Laura PreslandNIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS, Foundation Trust, Southampton, UK.
Tristan W ClarkSchool of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK; Department of Infection, University Hospital Southampton NHS Foundation Trust, Southampton, UK; NIHR Southampton Biomedical Research Centre, University Hospital Southampton NHS, Foundation Trust, Southampton, UK; NIHR Post Doctoral Fellowship Programme, UK.
University Hospital Southampton NHS Foundation Trust · GBNIHR Southampton Biomedical Research Centre · GBUniversity of Southampton · GB

Funding

Department of Health PDF-2016-09-061
6 · The paper itself

Abstract

objectivesMost reports describing the characteristics of patients hospitalised with COVID-19 lack a comparator group. We compared clinical characteristics, symptoms, and outcomes of adults presenting to hospital during the pandemic first wave, who tested positive and negative for SARS-CoV-2.

methodsDetailed patient data was obtained from a large, controlled, non-randomised trial of molecular point-of-care testing versus laboratory RT-PCR for SARS-CoV-2 in adults presenting to a large UK hospital with suspected COVID-19.

results1054 patients were included: 352 (33.4%) tested positive and 702 (66.6%) negative. 13.4% (47/352) COVID-19-positive patients had COPD versus 18.7% (131/702) of COVID-19-negative patients (difference=5.3% [95%CI -9.7% to -0.5%], p = 0.0297). 5.7% (20/352) of COVID-19-positive patients were smokers versus 16.5% (116/702) of negative patients (difference=-10.8% [-14.4% to -7.0%], p = 0.0001). 70.5% (248/352) of COVID-19-positive patients were White-British versus 85.5% (600/702) of negative patients (difference=-15.0% [-20.5% to -9.7%], p<0.0001). 20.9% (39/187) of COVID-19-positive patients were healthcare workers versus 5.2% (15/287) of negative patients (p<0.0001). Anosmia was reported in 33.1% (47/142) versus 8.8% (19/216) of COVID-19-positive and negative patients respectively (p<0.0001). Non-SARS-CoV-2 respiratory viruses or atypical bacteria were detected in 2.5% (5/197) of COVID-19 patients versus 7.9% (24/302) of COVID-19-negative patients (p = 0.0109). Hospitalisation duration and 30-day-mortality were higher in COVID-19 patients and invasive ventilation was more frequent (11.1% vs 2.8%, p<0.0001), and longer (14.5 vs 4.7 days, p = 0.0015).

conclusionsThere were substantial differences between patients with and without COVID-19 in terms of ethnicity, healthcare worker-status, comorbidities, symptoms, and outcomes. These data can inform healthcare planning for the next phase of the pandemic.

Indexed as

AgedAged, 80 and overAnosmiaCOVID-19EthnicityFemaleHealth PersonnelHospitalizationHospitalsHumansLength of StayMaleMiddle AgedProspective StudiesPulmonary Disease, Chronic ObstructiveRespiration, ArtificialClinical characteristicsCohortCOPDCOVID-19Healthcare workersOutcomesSARS-CoV-2SmokersSymptoms

Identifiers

PMID32998038
PMCPMC7521430
OpenAlexW3088011590

What OpenQuestion holds

Textmetadata
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.