Evidence map›Paper›PMID 34293141›Full record

ArticleInternational journal of epidemiology2021

Antibody status and cumulative incidence of SARS-CoV-2 infection among adults in three regions of France following the first lockdown and associated risk factors: a multicohort study.

Fabrice Carrat, Xavier de Lamballerie, Delphine Rahib, Hélène Blanché, Nathanael Lapidus, Fanny Artaud, Sofiane Kab, Adeline Renuy, Fabien Szabo de Edelenyi, Laurence Meyer and 21 more

Erratum issued Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in International journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT04392388 (Health, Perception, Practices, Relations and Social Inequalities in the General Population During the Covid-19 Crisis - Serology), which is not on this map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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.

NCT04392388 completednot on this map

Health, Perception, Practices, Relations and Social Inequalities in the General Population During the Covid-19 Crisis - Serology

TypeobservationalSponsorInstitut National de la Santé Et de la Recherche Médicale, FranceRan2020 to 2023Enrolled96,883ConditionsSARS-CoV 2ArmsNon applicable
3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 99 citations in OpenAlex.

  1. Dynamics of SARS-CoV-2 seroassay sensitivity: a systematic review and modelling study.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2023
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors at 6 institutions in 2 countries.

Fabrice CarratSorbonne Université, Inserm, Institut Pierre-Louis d'Epidémiologie et de Santé Publique, Paris, France.ORCID 0000-0002-8672-7918
Xavier de LamballerieUnité des Virus Émergents, UVE: Aix Marseille Univ, IRD 190, Inserm 1207, IHU Méditerranée Infection, Marseille, France.
Delphine RahibSanté publique France, Saint-Maurice, France.
Hélène BlanchéFondation Jean Dausset-CEPH (Centre d'Etude du Polymorphisme Humain), CEPH-Biobank, Paris, France.
Nathanael LapidusSorbonne Université, Inserm, Institut Pierre-Louis d'Epidémiologie et de Santé Publique, Paris, France.
Fanny ArtaudCESP UMR1018, Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, Villejuif, France.
Sofiane KabParis University, Paris, France.
Adeline RenuyParis University, Paris, France.
Fabien Szabo de EdelenyiSorbonne Paris Nord University, Inserm U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France.
Laurence MeyerUniversité Paris-Saclay, Inserm, CESP U1018, Le Kremlin Bicêtre, France.
Nathalie LydiéSanté publique France, Saint-Maurice, France.
Marie-Aline CharlesIned, Inserm, EFS, UMS Elfe, Aubervilliers, France.ORCID 0000-0003-4025-4390
Pierre-Yves AncelObstetrical, Perinatal and Pediatric Epidemiology Research Team, Center for Epidemiology and Statistics Sorbonne Paris Cité, Inserm U1153, Paris Descartes University, Paris, France.
Florence JusotUniversité Paris-Dauphine, PSL-Research University, LEDa, Paris, France.
Alexandra RouquetteUniversité Paris-Saclay, Inserm, CESP U1018, Le Kremlin Bicêtre, France.
Stéphane PrietUnité des Virus Émergents, UVE: Aix Marseille Univ, IRD 190, Inserm 1207, IHU Méditerranée Infection, Marseille, France.
Paola Mariela Saba VillarroelUnité des Virus Émergents, UVE: Aix Marseille Univ, IRD 190, Inserm 1207, IHU Méditerranée Infection, Marseille, France.
Toscane FouriéUnité des Virus Émergents, UVE: Aix Marseille Univ, IRD 190, Inserm 1207, IHU Méditerranée Infection, Marseille, France.
Clovis Lusivika-NzingaSorbonne Université, Inserm, Institut Pierre-Louis d'Epidémiologie et de Santé Publique, Paris, France.
Jérôme NicolSorbonne Université, Inserm, Institut Pierre-Louis d'Epidémiologie et de Santé Publique, Paris, France.
Stephane LegotParis University, Paris, France.
Nathalie Druesne-PecolloSorbonne Paris Nord University, Inserm U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France.
Younes EsseddikSorbonne Paris Nord University, Inserm U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France.
Cindy LaiInstitut de Santé Publique, Pôle Recherche Clinique, Institut National de la Santé et de la Recherche Médicale, Paris, France.
Jean-Marie GaglioloInserm, Institut Thématique Santé Publique, Paris, France.
Jean-François DeleuzeFondation Jean Dausset-CEPH (Centre d'Etude du Polymorphisme Humain), CEPH-Biobank, Paris, France.
Nathalie BajosIRIS, Inserm/EHESS/CNRS, Aubervilliers, France.
Gianluca SeveriCESP UMR1018, Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, Villejuif, France.
Mathilde TouvierSorbonne Paris Nord University, Inserm U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center, University of Paris (CRESS), Bobigny, France.
Marie ZinsParis University, Paris, France.
for the SAPRIS and SAPRIS-SERO study groups
Inserm · FRConservatoire National des Arts et Métiers · FRFondation Jean Dausset-CEPH · FRSanté Publique France · FRCentre National de la Recherche Scientifique · FRUniversité Paris Sciences et Lettres · FR

Funding

Agence Nationale de la Recherche #ANR-20-COVI-000, #ANR-10-COHO-06ANR (Agence Nationale de la Recherche) #ANR-20-COVI-000Fondation pour la Recherche Médicale #20RR052-00Fondation pour la Recherche Médicale [#20RR052-00], Inserm (Institut National de la Santé et de la Recherche Médicale) [#C20-26]Inserm (Institut National de la Santé et de la Recherche Médicale) [#C20-26]
6 · The paper itself

Abstract

backgroundWe aimed to estimate the seropositivity to anti-SARS-CoV-2 antibodies in May-June 2020 after the first lockdown period in adults living in three regions in France and to identify the associated risk factors.

methodsBetween 4 May 2020 and 23 June 2020, 16 000 participants in a survey on COVID-19 from an existing consortium of three general adult population cohorts living in the Ile-de-France (IDF) or Grand Est (GE) (two regions with high rate of COVID-19) or in the Nouvelle-Aquitaine (NA) (with a low rate) were randomly selected to take a dried-blood spot for anti-SARS-CoV-2 antibodies assessment with three different serological methods (ClinicalTrial Identifier #NCT04392388). The primary outcome was a positive anti-SARS-CoV-2 ELISA IgG result against the spike protein of the virus (ELISA-S). Estimates were adjusted using sampling weights and post-stratification methods. Multiple imputation was used to infer the cumulative incidence of SARS-CoV-2 infection with adjustments for imperfect tests accuracies.

resultsThe analysis included 14 628 participants, 983 with a positive ELISA-S. The weighted estimates of seropositivity and cumulative incidence were 10.0% [95% confidence interval (CI): 9.1%, 10.9%] and 11.4% (95% CI: 10.1%, 12.8%) in IDF, 9.0% (95% CI: 7.7%, 10.2%) and 9.8% (95% CI: 8.1%, 11.8%) in GE and 3.1% (95% CI: 2.4%, 3.7%) and 2.9% (95% CI: 2.1%, 3.8%) in NA, respectively. Seropositivity was higher in younger participants [odds ratio (OR) = 1.84 (95% CI: 1.79, 6.09) in <40 vs 50-60 years old and OR = 0.56 (95% CI: 0.42, 0.74) in ≥70 vs 50-60 years old)] and when at least one child or adolescent lived in the same household [OR = 1.30 (95% CI: 1.11, 1.53)] and was lower in smokers compared with non-smokers [OR = 0.71 (95% CI: 0.57, 0.89)].

conclusionsSeropositivity to anti-SARS-CoV-2 antibodies in the French adult population was ≤10% after the first wave. Modifiable and non-modifiable risk factors were identified.

Indexed as

COVID-19SARS-CoV-2AdolescentAdultAntibodies, ViralChildCommunicable Disease ControlFranceHumansIncidenceMiddle AgedSeroepidemiologic StudiesAntibodies, ViralcohortCOVID-19general populationrisk factorsSARS-CoV-2seroprevalence

Identifiers

PMID34293141
PMCPMC8344948
OpenAlexW3186203403

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.