Evidence map›Paper›PMID 33436471›Full record

ArticleBMJ open2021

Clinical features and natural history of the first 2073 suspected COVID-19 cases in the Corona São Caetano primary care programme: a prospective cohort study.

Fabio E Leal, Maria C Mendes-Correa, Lewis Fletcher Buss, Silvia F Costa, Joao C S Bizario, Sonia R P de Souza, Osorio Thomaz, Tania Regina Tozetto-Mendoza, Lucy S Villas-Boas, Léa Campos de Oliveira-da Silva and 7 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 4 pooled it
2.1field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 4 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Scale-free dynamics of COVID-19 in a Brazilian city.Applied mathematical modelling · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Thinking out of the box: revisiting health surveillance based on medical records.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2023
    Article
  12. Clinical Spectrum of Severe Acute Respiratory Syndrome Coronavirus 2 Infection and Protection From Symptomatic Reinfection.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Observational
  18. Article
  19. Article
  20. 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 5 institutions in 3 countries.

Fabio E Leal *Faculdade de Medicina, Universidade de São Caetano do Sul, São Paulo, Brazil.
Maria C Mendes-Correa *Instituto de Medicina Tropical (LIM-52, LIM-46, LIM-49) and Departamento de Moléstias Infecciosas e Parasitarias, Universidade de São Paulo, São Paulo, Brazil.
Lewis Fletcher Buss *Instituto de Medicina Tropical (LIM-52, LIM-46, LIM-49) and Departamento de Moléstias Infecciosas e Parasitarias, Universidade de São Paulo, São Paulo, Brazil lewisbuss@usp.br.ORCID 0000-0002-9009-9301
Silvia F CostaInstituto de Medicina Tropical (LIM-52, LIM-46, LIM-49) and Departamento de Moléstias Infecciosas e Parasitarias, Universidade de São Paulo, São Paulo, Brazil.
Joao C S BizarioFaculdade de Medicina, Universidade de São Caetano do Sul, São Paulo, Brazil.
Sonia R P de SouzaFaculdade de Medicina, Universidade de São Caetano do Sul, São Paulo, Brazil.
Osorio ThomazInstituto de Pesquisas Tecnológicas, São Paulo, Brazil.
Tania Regina Tozetto-MendozaInstituto de Medicina Tropical (LIM-52, LIM-46, LIM-49) and Departamento de Moléstias Infecciosas e Parasitarias, Universidade de São Paulo, São Paulo, Brazil.
Lucy S Villas-BoasInstituto de Medicina Tropical (LIM-52, LIM-46, LIM-49) and Departamento de Moléstias Infecciosas e Parasitarias, Universidade de São Paulo, São Paulo, Brazil.
Léa Campos de Oliveira-da SilvaLaboratório de Medicina Laboratorial (LIM03), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
Regina M Z GrespanFaculdade de Medicina, Universidade de São Caetano do Sul, São Paulo, Brazil.
Ligia CapuaniDepartment of Services and Systems Design, Modular Research System Ltda, São Paulo, Brazil.
Renata BuccheriInstituto de Medicina Tropical (LIM-52, LIM-46, LIM-49) and Departamento de Moléstias Infecciosas e Parasitarias, Universidade de São Paulo, São Paulo, Brazil.
Helves DominguesDepartment of Information Technology, Modular Research System Ltda, São Paulo, Brazil.
Neal AlexanderFaculty of Infectious & Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Philippe MayaudFaculty of Infectious & Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Ester Cerdeira SabinoInstituto de Medicina Tropical (LIM-52, LIM-46, LIM-49) and Departamento de Moléstias Infecciosas e Parasitarias, Universidade de São Paulo, São Paulo, Brazil.
Universidade de São Paulo · BRUniversidade Municipal de São Caetano do Sul · BRLondon School of Hygiene & Tropical Medicine · GBHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRInstituto de Pesquisas Tecnológicas · BR

Funding

Medical Research Council MR/R010161/1Medical Research Council MR/S019510/1
6 · The paper itself

Abstract

backgroundDespite most cases not requiring hospital care, there are limited community-based clinical data on COVID-19.

methodsThe Corona São Caetano programme is a primary care initiative providing care to all residents with COVID-19 in São Caetano do Sul, Brazil. It was designed to capture standardised clinical data on community COVID-19 cases. After triage of potentially severe cases, consecutive patients presenting to a multimedia screening platform between 13 April and 13 May 2020 were tested at home with SARS-CoV-2 reverse transcriptase (RT) PCR; positive patients were followed up for 14 days with phone calls every 2 days. RT-PCR-negative patients were offered additional SARS-CoV-2 serology testing to establish their infection status. We describe the clinical, virological and natural history features of this prospective population-based cohort.

findingsOf 2073 suspected COVID-19 cases, 1583 (76.4%) were tested by RT-PCR, of whom 444 (28.0%, 95% CI 25.9 to 30.3) were positive; 604/1136 (53%) RT-PCR-negative patients underwent serology, of whom 52 (8.6%) tested SARS-CoV-2 seropositive. The most common symptoms of confirmed COVID-19 were cough, fatigue, myalgia and headache; whereas self-reported fever (OR 3.0, 95% CI 2.4 to 3.9), anosmia (OR 3.3, 95% CI 2.6 to 4.4) and ageusia (OR 2.9, 95% CI 2.3 to 3.8) were most strongly associated with a positive COVID-19 diagnosis by RT-PCR or serology. RT-PCR cycle thresholds were lower in men, older patients, those with fever and arthralgia and closer to symptom onset. The rates of hospitalisation and death among 444 RT-PCR-positive cases were 6.7% and 0.7%, respectively, with older age and obesity more frequent in the hospitalised group.

conclusionCOVID-19 presents in a similar way to other mild community-acquired respiratory diseases, but the presence of fever, anosmia and ageusia can assist the specific diagnosis. Most patients recovered without requiring hospitalisation with a low fatality rate compared with other hospital-based studies.

Indexed as

AdolescentAdultAge FactorsBrazilChildCohort StudiesCoughCOVID-19FatigueFemaleFeverHeadacheHospitalizationHumansMaleMiddle Agedepidemiologyinfectious diseasesprimary carepublic health

Identifiers

PMID33436471
PMCPMC7805372
OpenAlexW3120963053

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.