Evidence map›Paper›PMID 38459098›Full record

ArticleScientific reports2024

Hospitalizations for coronavirus disease 2019: an analysis of the occurrence waves.

Juliana Rodrigues Tovar Garbin, Franciéle Marabotti Costa Leite, Cristiano Soares Silva Dell'Antonio, Larissa Soares Dell'Antonio, Ana Paula Brioschi Dos Santos, Luís Carlos Lopes-Júnior

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. 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
1.8field-weighted citation impact, top 15% 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, 5 citations in OpenAlex.

  1. Article
  2. Observational
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

6 authors at 3 institutions in 2 countries.

Juliana Rodrigues Tovar GarbinGraduate Program in Public Health at the Universidade Federal do Espírito Santo (PPGSC/UFES), Vitória, ES, Brazil.
Franciéle Marabotti Costa LeiteGraduate Program in Public Health at the Universidade Federal do Espírito Santo (PPGSC/UFES), Vitória, ES, Brazil.
Cristiano Soares Silva Dell'AntonioSecretaria de Estado da Saúde do Espírito Santo-SESA/ES, VItória, ES, Brazil.
Larissa Soares Dell'AntonioSecretaria de Estado da Saúde do Espírito Santo-SESA/ES, VItória, ES, Brazil.
Ana Paula Brioschi Dos SantosSecretaria de Estado da Saúde do Espírito Santo-SESA/ES, VItória, ES, Brazil.
Luís Carlos Lopes-JúniorGraduate Program in Public Health at the Universidade Federal do Espírito Santo (PPGSC/UFES), Vitória, ES, Brazil. lopesjr.lc@gmail.com.ORCID 0000-0002-2424-6510
Secretaria da Saúde · BRUniversidade Federal do Espírito Santo · BRInternational Foundation for Electoral Systems · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pandemic has been characterized by several waves defined by viral strains responsible for the predominance of infections. We aimed to analyze the mean length of hospital stay for patients with COVID-19 during the first three waves of the pandemic and its distribution according to sociodemographic and clinical variables. This retrospective study used the notifications of patients hospitalized for COVID-19 in a Brazilian state during the period of the three waves of the disease as the data source. There were 13,910 hospitalizations for confirmed COVID-19 cases. The first wave was the longest, with 4101 (29.5%) hospitalizations, while the third, although shorter, had a higher number of hospitalized patients (N = 6960). The average length of stay in the hospital in all waves was associated with age groups up to 60 years old., elementary, high school and higher education, residents of the periurban area Regarding the presence of comorbidities, there was a statistically significant difference in the mean number of days of hospitalization among patients with chronic cardiovascular disease and obesity (P < 0.001). In conclusion, the COVID-19 pandemic has been distinctly revealed among the waves.

Indexed as

COVID-19PandemicsHospitalizationHumansLength of StayRetrospective StudiesCOVID-19HospitalizationSARS-CoV-2

Identifiers

PMID38459098
PMCPMC10924092
OpenAlexW4392619890

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.