Evidence map›Paper›PMID 36289763›Full record

ArticleBiomedicines2022

Impact of the First COVID-19 Wave on French Hospitalizations for Myocardial Infarction and Stroke: A Retrospective Cohort Study.

Anne-Sophie Mariet, Gauthier Duloquin, Eric Benzenine, Adrien Roussot, Thibaut Pommier, Jean-Christophe Eicher, Laura Baptiste, Maurice Giroud, Yves Cottin, Yannick Béjot and 1 more

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. 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

11 authors at 4 institutions in 1 country.

Anne-Sophie MarietBiostatistics and Bioinformatics (DIM), University Hospital of Dijon, 21000 Dijon, France.ORCID 0000-0003-0134-1248
Gauthier DuloquinNeurology Department, University Hospital of Dijon, 21000 Dijon, France.
Eric BenzenineBiostatistics and Bioinformatics (DIM), University Hospital of Dijon, 21000 Dijon, France.
Adrien RoussotBiostatistics and Bioinformatics (DIM), University Hospital of Dijon, 21000 Dijon, France.
Thibaut PommierCardiology Department, University Hospital of Dijon, 21000 Dijon, France.ORCID 0000-0002-1637-8855
Jean-Christophe EicherCardiology Department, University Hospital of Dijon, 21000 Dijon, France.
Laura BaptisteNeurology Department, University Hospital of Dijon, 21000 Dijon, France.
Maurice GiroudNeurology Department, University Hospital of Dijon, 21000 Dijon, France.ORCID 0000-0002-0718-8523
Yves CottinCardiology Department, University Hospital of Dijon, 21000 Dijon, France.ORCID 0000-0002-5176-5121
Yannick BéjotNeurology Department, University Hospital of Dijon, 21000 Dijon, France.ORCID 0000-0001-7848-7072
Catherine QuantinBiostatistics and Bioinformatics (DIM), University Hospital of Dijon, 21000 Dijon, France.ORCID 0000-0001-5134-9411
Maison des Sciences sociales et des Humanités de Dijon · FRInserm · FRUniversité de Bourgogne · FRUniversité Paris-Sud · FR

Funding

French National Research Agency ANR-20-COV1-0005-01
6 · The paper itself

Abstract

The COVID-19 pandemic modified the management of myocardial infarction (MI) and stroke. We aimed to evaluate the effect of the COVID-19 pandemic on the volume and spatial distribution of hospitalizations for MI and stroke, before, during and after the first nationwide lockdown in France in 2020, compared with 2019. Hospitalization data were extracted from the French National Discharge database. Patient's characteristics were compared according to COVID-19 status. Changes in hospitalization rates over time were measured using interrupted time series analysis. Possible spatial patterns of over or under-hospitalization rates were investigated using Moran's indices. We observed a rapid and significant drop in hospitalizations just before the beginning of the lockdown with a nadir at 36.5% for MI and 31.2% for stroke. Hospitalization volumes returned to those seen in 2019 four weeks after the end of the lockdown, except for MI, which rebounded excessively. Older age, male sex, elevated rate of hypertension, diabetes, obesity and mortality characterized COVID-19 patients. There was no evidence of a change in the spatial pattern of over- or under-hospitalization clusters over the three periods. After a steep drop, only MI showed a significant rebound after the first lockdown with no change in the spatial distribution of hospitalizations.

Indexed as

Coronavirus Disease 2019lockdownmyocardial infarctionspatial autocorrelationstroketransient ischemic attack

Identifiers

PMID36289763
PMCPMC9598815
OpenAlexW4303613724

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.