Evidence map›Paper›PMID 33341155›Full record

ArticleThe Lancet. Respiratory medicine2021

Comparison of the characteristics, morbidity, and mortality of COVID-19 and seasonal influenza: a nationwide, population-based retrospective cohort study.

Lionel Piroth, Jonathan Cottenet, Anne-Sophie Mariet, Philippe Bonniaud, Mathieu Blot, Pascale Tubert-Bitter, Catherine Quantin

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in The Lancet. Respiratory medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 347 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
347citing papers in PubMed, 10 pooled it
12.5field-weighted citation impact, top 1% 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

347 citing papers in PubMed, 10 syntheses or guidelines pooled it, 613 citations in OpenAlex.

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  9. ECMO in COVID-19 Patients: A Systematic Review and Meta-analysis.Journal of cardiothoracic and vascular anesthesia · 2022
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287 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Lionel PirothInserm CIC 1432, Clinical Epidemiology/Clinical Trials Unit, Clinical Investigation Centre, Dijon University Hospital, Dijon, France; Infectious Diseases Department, Dijon University Hospital, Dijon, France; Faculty of Medicine, University of Bourgogne-Franche-Comté, Dijon, France.
Jonathan CottenetBiostatistics and Bioinformatics (DIM), Dijon University Hospital, Dijon, France; Faculty of Medicine, University of Bourgogne-Franche-Comté, Dijon, France.
Anne-Sophie MarietInserm CIC 1432, Clinical Epidemiology/Clinical Trials Unit, Clinical Investigation Centre, Dijon University Hospital, Dijon, France; Biostatistics and Bioinformatics (DIM), Dijon University Hospital, Dijon, France; Faculty of Medicine, University of Bourgogne-Franche-Comté, Dijon, France.
Philippe BonniaudReference Centre for Rare Pulmonary Diseases, Pulmonary Medicine and Intensive Care Unit Department, Dijon University Hospital, Dijon, France; Faculty of Medicine, University of Bourgogne-Franche-Comté, Dijon, France; Inserm LNC UMR1231, LipSTIC LabEx Team, Dijon, France.
Mathieu BlotInfectious Diseases Department, Dijon University Hospital, Dijon, France.
Pascale Tubert-BitterUniversité Paris-Saclay, UVSQ, Université Paris-Sud, Inserm, High-Dimensional Biostatistics for Drug Safety and Genomics, CESP, Villejuif, France.
Catherine QuantinInserm CIC 1432, Clinical Epidemiology/Clinical Trials Unit, Clinical Investigation Centre, Dijon University Hospital, Dijon, France; Biostatistics and Bioinformatics (DIM), Dijon University Hospital, Dijon, France; Faculty of Medicine, University of Bourgogne-Franche-Comté, Dijon, France; Université Paris-Saclay, UVSQ, Université Paris-Sud, Inserm, High-Dimensional Biostatistics for Drug Safety and Genomics, CESP, Villejuif, France. Electronic address: catherine.quantin@chu-dijon.fr.
Centre Hospitalier Universitaire Dijon Bourgogne · FRCentre de recherche en Epidémiologie et Santé des Populations · FRUniversité Paris-Saclay · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo date, influenza epidemics have been considered suitable for use as a model for the COVID-19 epidemic, given that they are respiratory diseases with similar modes of transmission. However, data directly comparing the two diseases are scarce.

methodsWe did a nationwide retrospective cohort study using the French national administrative database (PMSI), which includes discharge summaries for all hospital admissions in France. All patients hospitalised for COVID-19 from March 1 to April 30, 2020, and all patients hospitalised for influenza between Dec 1, 2018, and Feb 28, 2019, were included. The diagnosis of COVID-19 (International Classification of Diseases [10th edition] codes U07.10, U07.11, U07.12, U07.14, or U07.15) or influenza (J09, J10, or J11) comprised primary, related, or associated diagnosis. Comparisons of risk factors, clinical characteristics, and outcomes between patients hospitalised for COVID-19 and influenza were done, with data also stratified by age group.

findings89 530 patients with COVID-19 and 45 819 patients with influenza were hospitalised in France during the respective study periods. The median age of patients was 68 years (IQR 52-82) for COVID-19 and 71 years (34-84) for influenza. Patients with COVID-19 were more frequently obese or overweight, and more frequently had diabetes, hypertension, and dyslipidaemia than patients with influenza, whereas those with influenza more frequently had heart failure, chronic respiratory disease, cirrhosis, and deficiency anaemia. Patients admitted to hospital with COVID-19 more frequently developed acute respiratory failure, pulmonary embolism, septic shock, or haemorrhagic stroke than patients with influenza, but less frequently developed myocardial infarction or atrial fibrillation. In-hospital mortality was higher in patients with COVID-19 than in patients with influenza (15 104 [16·9%] of 89 530 vs 2640 [5·8%] of 45 819), with a relative risk of death of 2·9 (95% CI 2·8-3·0) and an age-standardised mortality ratio of 2·82. Of the patients hospitalised, the proportion of paediatric patients (<18 years) was smaller for COVID-19 than for influenza (1227 [1·4%] vs 8942 [19·5%]), but a larger proportion of patients younger than 5 years needed intensive care support for COVID-19 than for influenza (14 [2·3%] of 613 vs 65 [0·9%] of 6973). In adolescents (11-17 years), the in-hospital mortality was ten-times higher for COVID-19 than for influenza (five [1·1% of 458 vs one [0·1%] of 804), and patients with COVID-19 were more frequently obese or overweight.

interpretationThe presentation of patients with COVID-19 and seasonal influenza requiring hospitalisation differs considerably. Severe acute respiratory syndrome coronavirus 2 is likely to have a higher potential for respiratory pathogenicity, leading to more respiratory complications and to higher mortality. In children, although the rate of hospitalisation for COVID-19 appears to be lower than for influenza, in-hospital mortality is higher; however, low patient numbers limit this finding. These findings highlight the importance of appropriate preventive measures for COVID-19, as well as the need for a specific vaccine and treatment.

fundingFrench National Research Agency.

Indexed as

OrthomyxoviridaeSARS-CoV-2AdolescentAdultAgedAged, 80 and overChildCOVID-19Critical CareDatabases, FactualFemaleFranceHospitalizationHospital MortalityHumansInfluenza, Human

Identifiers

PMID33341155
PMCPMC7832247
OpenAlexW3111926881

What OpenQuestion holds

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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.