Evidence map›Paper›PMID 38779000›Full record

ArticleHeliyon2024

Characteristics and outcomes of COVID-19 patients admitted to hospital with and without respiratory symptoms.

Barbara Wanjiru Citarella, Christiana Kartsonaki, Elsa D Ibáñez-Prada, Bronner P Gonçalves, Joaquin Baruch, Martina Escher, Mark G Pritchard, Jia Wei, Fred Philippy, Andrew Dagens and 19 more

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

29 authors.

Barbara Wanjiru CitarellaISARIC, Pandemic Sciences Institute, University of Oxford, Oxford, UK.
Christiana KartsonakiMRC Population Health Research Unit, Clinical Trials Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Elsa D Ibáñez-PradaUniversidad de La Sabana, Chía, Colombia.
Bronner P GonçalvesISARIC, Pandemic Sciences Institute, University of Oxford, Oxford, UK.
Joaquin BaruchISARIC, Pandemic Sciences Institute, University of Oxford, Oxford, UK.
Martina EscherISARIC, Pandemic Sciences Institute, University of Oxford, Oxford, UK.
Mark G PritchardISARIC, Pandemic Sciences Institute, University of Oxford, Oxford, UK.
Jia WeiBig Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Fred PhilippyCompetence Centre for Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg.
Andrew DagensISARIC, Pandemic Sciences Institute, University of Oxford, Oxford, UK.
Matthew HallBig Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
James LeeNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Demetrios James KutsogiannisDepartment of Critical Care Medicine, Faculty of Medicine and Dentistry, The University of Alberta, Edmonton, Alberta, Canada.
Evert-Jan WilsDepartment of Intensive Care, Franciscus Gasthuis & Vlietland, Rotterdam, the Netherlands.
Marília Andreia FernandesDepartment of Internal Medicine, Hospital Curry Cabral, Centro Hospitalar Universitário de Lisboa Central, Lisbon, Portugal.
Bharath Kumar Tirupakuzhi VijayaraghavanDepartment of Critical Care Medicine, Apollo Hospitals, Chennai, India and The George Institute for Global Health, New Delhi, India.
Prasan Kumar PandaAIIMS, Rishikesh, India.
Ignacio Martin-LoechesDepartment of Intensive Care Medicine, Multidisciplinary Intensive Care Research Organization (MICRO), St James' Hospital, Dublin, Ireland.
Shinichiro OhshimoDepartment of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Arie Zainul FatoniDepartment of Anesthesiology and Intensive Therapy, Saiful Anwar General Hospital, Brawijaya University, Malang, East Java, Indonesia.
Peter HorbyISARIC, Pandemic Sciences Institute, University of Oxford, Oxford, UK.
Jake DunningISARIC, Pandemic Sciences Institute, University of Oxford, Oxford, UK.
Jordi RelloVall d'Hebrón Institute Research, Barcelona, Spain.
Laura MersonISARIC, Pandemic Sciences Institute, University of Oxford, Oxford, UK.
Amanda RojekISARIC, Pandemic Sciences Institute, University of Oxford, Oxford, UK.
Michel VaillantCompetence Centre for Methodology and Statistics, Luxembourg Institute of Health, Strassen, Luxembourg.
Piero OlliaroISARIC, Pandemic Sciences Institute, University of Oxford, Oxford, UK.
Luis Felipe ReyesISARIC, Pandemic Sciences Institute, University of Oxford, Oxford, UK.
ISARIC Clinical Characterisation Group

Funding

CLots and Oxygen in Va-ExtracorpoReal membrane oxygenation (CLOVER) studyK23HL157610 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Sung-Min Cho · 2022 to 2026
$797k
Medical Research Council MC_UU_00031/7NHLBI NIH HHS K23 HL157610
6 · The paper itself

Abstract

Background: COVID-19 is primarily known as a respiratory illness; however, many patients present to hospital without respiratory symptoms. The association between non-respiratory presentations of COVID-19 and outcomes remains unclear. We investigated risk factors and clinical outcomes in patients with no respiratory symptoms (NRS) and respiratory symptoms (RS) at hospital admission. Methods: This study describes clinical features, physiological parameters, and outcomes of hospitalised COVID-19 patients, stratified by the presence or absence of respiratory symptoms at hospital admission. RS patients had one or more of: cough, shortness of breath, sore throat, runny nose or wheezing; while NRS patients did not. Results: Of 178,640 patients in the study, 86.4 % presented with RS, while 13.6 % had NRS. NRS patients were older (median age: NRS: 74 vs RS: 65) and less likely to be admitted to the ICU (NRS: 36.7 % vs RS: 37.5 %). NRS patients had a higher crude in-hospital case-fatality ratio (NRS 41.1 % vs. RS 32.0 %), but a lower risk of death after adjusting for confounders (HR 0.88 [0.83-0.93]). Conclusion: Approximately one in seven COVID-19 patients presented at hospital admission without respiratory symptoms. These patients were older, had lower ICU admission rates, and had a lower risk of in-hospital mortality after adjusting for confounders.

Indexed as

COVID-19MortalityNon-respiratory symptomsRespiratory symptomsRisk factors

Identifiers

PMID38779000
PMCPMC11109728

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.