Evidence map›Paper›PMID 38455472›Full record

ArticleFrontiers in medicine2024

Risk and protective factors for Long COVID in Brazilian adults (CUME Study).

Júlio Eduvirgem, Josefina Bressan, Helen Hermana Miranda Hermsdorff, Livia Cozer Montenegro, Marlise Lima Brandão, Alessandra Aparecida Tavares Neves, Lucas Samuel Aristides da Silva, Thiago Alexandre Gerake-Dias, Adriano Marçal Pimenta

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 43% 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

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

  1. Pooled it
  2. Article
  3. 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

9 authors at 2 institutions in 1 country.

Júlio Eduvirgem *Posgraduate Program in Nursing, Universidade Federal do Paraná, Curitiba, Paraná, Brazil.
Josefina BressanDepartment of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
Helen Hermana Miranda HermsdorffDepartment of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
Livia Cozer MontenegroDepartment of Nursing, Universidade Federal do Paraná, Curitiba, Paraná, Brazil.
Marlise Lima BrandãoPosgraduate Program in Nursing, Universidade Federal do Paraná, Curitiba, Paraná, Brazil.
Alessandra Aparecida Tavares NevesPosgraduate Program in Nursing, Universidade Federal do Paraná, Curitiba, Paraná, Brazil.
Lucas Samuel Aristides da SilvaDepartment of Nursing, Universidade Federal do Paraná, Curitiba, Paraná, Brazil.
Thiago Alexandre Gerake-DiasDepartment of Nursing, Universidade Federal do Paraná, Curitiba, Paraná, Brazil.
Adriano Marçal Pimenta *Posgraduate Program in Nursing, Universidade Federal do Paraná, Curitiba, Paraná, Brazil.
Universidade Federal do Paraná · BRUniversidade Federal de Viçosa · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Most people recover from COVID-19, however, between 5 to 20% have experienced new, recurring, or continuous health problems four or more weeks after being infected, a phenomenon called Long COVID, and whose reasons for its manifestation are incipient. Our objective was to analyse the risk and protective factors for Long COVID in Brazilian adults participating in the CUME Study. Methods: The CUME Study is a prospective cohort conducted with graduates from federal universities in the State of Minas Gerais, Brazil. In this study, 390 participants who answered the baseline questionnaire in 2016 and the third follow-up questionnaire in 2022 (which contained a block of questions about occurrence of COVID-19 and Long COVID) were included. The diagnosis of Long COVID was based on self-reporting of persistence of signs and symptoms of COVID-19 between 30 days and 6 months after remission of the disease. To estimate the risk and protective factors for Long COVID, a hierarchical multivariate statistical analysis was conducted using the Poisson regression technique. Results: Long COVID was observed in 48.9% of the participants. The following characteristics were identified as risk factors for the outcome: female sex (RR = 1.56; 95% CI = 1.22-1.99); prior diagnosis of hypertension (RR = 1.46; 95% CI = 1.19-1.80); having contracted COVID-19 in the first (RR =1.38; 95% CI = 1.07-1.79) or in the second waves (RR = 1.33; 95% CI = 1.07-1.65) of the pandemic period; and having presented three or more signs and symptoms during the acute phase of COVID-19 (RR = 2.99; 95% CI = 1.08-8.24). On the other hand, having a doctoral/postdoctoral educational level (RR = 0.69; 95% CI = 0.50-0.94) was identified as a protective factor for the outcome. Conclusion: Health system managers and healthcare professionals should be aware of the socioeconomic profile and disease history of patients who have had COVID-19 because women, people with a prior diagnosis of hypertension, and those who manifested multiple signs and symptoms of COVID-19 during the acute phase of the disease were at greater risk of developing Long COVID.

Indexed as

cohort studiesCOVID-19Long COVIDprotective factorsrisk factors

Identifiers

PMID38455472
PMCPMC10919220
OpenAlexW4392001549

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.