Evidence map›Paper›PMID 35657787›Full record

Observational studyPloS one2022

Severity of infection with the SARS-CoV-2 B.1.1.7 lineage among hospitalized COVID-19 patients in Belgium.

Nina Van Goethem, Mathil Vandromme, Herman Van Oyen, Freek Haarhuis, Ruben Brondeel, Lucy Catteau, Emmanuel André, Lize Cuypers, Belgian Collaborative Group on COVID-19 Hospital surveillance, COVID-19 Genomics Belgium consortium and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Observational
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  6. Review
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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

12 authors at 3 institutions in 1 country.

Nina Van GoethemScientific Directorate of Epidemiology and Public Health, Sciensano, Brussels, Belgium.ORCID 0000-0001-7316-6990
Mathil VandrommeScientific Directorate of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Herman Van OyenScientific Directorate of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Freek HaarhuisScientific Directorate of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Ruben BrondeelScientific Directorate of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Lucy CatteauScientific Directorate of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Emmanuel AndréUniversity Hospitals Leuven, Department of Laboratory Medicine, National Reference Centre for Respiratory Pathogens, Leuven, Belgium.
Lize CuypersUniversity Hospitals Leuven, Department of Laboratory Medicine, National Reference Centre for Respiratory Pathogens, Leuven, Belgium.
Belgian Collaborative Group on COVID-19 Hospital surveillance
COVID-19 Genomics Belgium consortium
Koen BlotScientific Directorate of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
Ben SerrienScientific Directorate of Epidemiology and Public Health, Sciensano, Brussels, Belgium.ORCID 0000-0001-5542-997X
Sciensano (Belgium) · BEKU Leuven · BERega Institute for Medical Research · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe pathogenesis of COVID-19 depends on the interplay between host characteristics, viral characteristics and contextual factors. Here, we compare COVID-19 disease severity between hospitalized patients in Belgium infected with the SARS-CoV-2 variant B.1.1.7 and those infected with previously circulating strains.

methodsThe study is conducted within a causal framework to study the severity of SARS-CoV-2 variants by merging surveillance registries in Belgium. Infection with SARS-CoV-2 B.1.1.7 ('exposed') was compared to infection with previously circulating strains ('unexposed') in terms of the manifestation of severe COVID-19, intensive care unit (ICU) admission, or in-hospital mortality. The exposed and unexposed group were matched based on the hospital and the mean ICU occupancy rate during the patient's hospital stay. Other variables identified as confounders in a Directed Acyclic Graph (DAG) were adjusted for using regression analysis. Sensitivity analyses were performed to assess the influence of selection bias, vaccination rollout, and unmeasured confounding.

resultsWe observed no difference between the exposed and unexposed group in severe COVID-19 disease or in-hospital mortality (RR = 1.15, 95% CI [0.93-1.38] and RR = 0.92, 95% CI [0.62-1.23], respectively). The estimated standardized risk to be admitted in ICU was significantly higher (RR = 1.36, 95% CI [1.03-1.68]) when infected with the B.1.1.7 variant. An age-stratified analysis showed that among the younger age group (≤65 years), the SARS-CoV-2 variant B.1.1.7 was significantly associated with both severe COVID-19 progression and ICU admission.

conclusionThis matched observational cohort study did not find an overall increased risk of severe COVID-19 or death associated with B.1.1.7 infection among patients already hospitalized. There was a significant increased risk to be transferred to ICU when infected with the B.1.1.7 variant, especially among the younger age group. However, potential selection biases advocate for more systematic sequencing of samples from hospitalized COVID-19 patients.

Indexed as

COVID-19SARS-CoV-2AgedBelgiumHospitalizationHumans

Identifiers

PMID35657787
PMCPMC9165825
OpenAlexW4281892936

What OpenQuestion holds

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LicenceCC BY
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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.