Evidence map›Paper›PMID 34126206›Full record

ArticleJournal of clinical epidemiology2021

ENE-COVID nationwide serosurvey served to characterize asymptomatic infections and to develop a symptom-based risk score to predict COVID-19.

Beatriz Pérez-Gómez, Roberto Pastor-Barriuso, Mayte Pérez-Olmeda, Miguel A Hernán, Jesús Oteo-Iglesias, Nerea Fernández de Larrea, Aurora Fernández-García, Mariano Martín, Pablo Fernández-Navarro, Israel Cruz and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. COVID in Pediatric Age: an opinion paper.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2022
    Review
  5. Article
  6. 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

17 authors at 3 institutions in 2 countries.

Beatriz Pérez-GómezNational Centre for Epidemiology, Instituto de Salud Carlos III (ISCIII), Monforte de Lemos 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III (ISCIII), Monforte de Lemos 5, 28029 Madrid, Spain.
Roberto Pastor-BarriusoNational Centre for Epidemiology, Instituto de Salud Carlos III (ISCIII), Monforte de Lemos 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III (ISCIII), Monforte de Lemos 5, 28029 Madrid, Spain.
Mayte Pérez-OlmedaNational Centre for Microbiology, Instituto de Salud Carlos III (ISCIII), Ctra de Pozuelo 28, 28222 Madrid, Spain.
Miguel A HernánDepartments of Epidemiology and Biostatistics, Harvard T H Chan School of Public Health, Harvard-MIT Division of Health Sciences and Technology, 677 Huntington Ave, Boston, MA 02115, USA.
Jesús Oteo-IglesiasNational Centre for Microbiology, Instituto de Salud Carlos III (ISCIII), Ctra de Pozuelo 28, 28222 Madrid, Spain; Spanish Network for Research in Infectious Diseases (REIPI), Instituto de Salud Carlos III (ISCIII), Monforte de Lemos 5, 28029 Madrid, Spain.
Nerea Fernández de LarreaNational Centre for Epidemiology, Instituto de Salud Carlos III (ISCIII), Monforte de Lemos 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III (ISCIII), Monforte de Lemos 5, 28029 Madrid, Spain.
Aurora Fernández-GarcíaConsortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III (ISCIII), Monforte de Lemos 5, 28029 Madrid, Spain; National Centre for Microbiology, Instituto de Salud Carlos III (ISCIII), Ctra de Pozuelo 28, 28222 Madrid, Spain.
Mariano MartínDeputy Directorate of Information Technologies, Ministry of Health, Paseo del Prado 18, 28014 Madrid, Spain.
Pablo Fernández-NavarroNational Centre for Epidemiology, Instituto de Salud Carlos III (ISCIII), Monforte de Lemos 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III (ISCIII), Monforte de Lemos 5, 28029 Madrid, Spain.
Israel CruzNational School of Public Health, Instituto de Salud Carlos III (ISCIII), Monforte de Lemos 5, 28029 Madrid, Spain.
Jose L SanmartínDeputy Directorate of Information Technologies, Ministry of Health, Paseo del Prado 18, 28014 Madrid, Spain.
Jose León PaniaguaInstituto de Salud Carlos III (ISCIII), Monforte de Lemos 5, 28029 Madrid, Spain.
Juan F Muñoz-MontalvoDeputy Directorate of Information Technologies, Ministry of Health, Paseo del Prado 18, 28014 Madrid, Spain.
Faustino BlancoDeputy Directorate of Information Technologies, Ministry of Health, Paseo del Prado 18, 28014 Madrid, Spain.
Raquel YottiInstituto de Salud Carlos III (ISCIII), Monforte de Lemos 5, 28029 Madrid, Spain.
Marina PollánNational Centre for Epidemiology, Instituto de Salud Carlos III (ISCIII), Monforte de Lemos 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III (ISCIII), Monforte de Lemos 5, 28029 Madrid, Spain. Electronic address: mpollan@isciii.es.
ENE-COVID Study Group
Instituto de Salud Carlos III · ESMinistry of Health · ESHarvard–MIT Division of Health Sciences and Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo characterize asymptomatic SARS-CoV-2 infections and develop a symptom-based risk score useful in primary healthcare. STUDY DESIGN AND

settingSixty-one thousand ninty-two community-dwelling participants in a nationwide population-based serosurvey completed a questionnaire on COVID-19 symptoms and received an immunoassay for SARS-CoV-2 IgG antibodies between April 27 and June 22, 2020. Standardized prevalence ratios for asymptomatic infection were estimated across participant characteristics. We constructed a symptom-based risk score and evaluated its ability to predict SARS-CoV-2 infection.

resultsOf all, 28.7% of infections were asymptomatic (95% CI 26.1-31.4%). Standardized asymptomatic prevalence ratios were 1.19 (1.02-1.40) for men vs. women, 1.82 (1.33-2.50) and 1.45 (0.96-2.18) for individuals <20 and ≥80 years vs. those aged 40-59, 1.27 (1.03-1.55) for smokers vs. nonsmokers, and 1.91 (1.59-2.29) for individuals without vs. with case contact. In symptomatic population, a symptom-based score (weights: severe tiredness = 1; absence of sore throat = 1; fever = 2; anosmia/ageusia = 5) reached standardized seroprevalence ratio of 8.71 (7.37-10.3), discrimination index of 0.79 (0.77-0.81), and sensitivity and specificity of 71.4% (68.1-74.4%) and 74.2% (73.1-75.2%) for a score ≥3.

conclusionThe presence of anosmia/ageusia, fever with severe tiredness, or fever without sore throat should serve to suspect COVID-19 in areas with active viral circulation. The proportion of asymptomatics in children and adolescents challenges infection control.

Indexed as

AdolescentAdultAgedAged, 80 and overAsymptomatic InfectionsChildChild, PreschoolCOVID-19FemaleHumansInfantInfant, NewbornMaleMiddle AgedPrimary Health CareRisk FactorsCOVID-19General populationNationwide serosurveyPrediction modelSARS-CoV-2 infectionSymptoms

Identifiers

PMID34126206
PMCPMC8192836
OpenAlexW3170831244

What OpenQuestion holds

Textmetadata
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.