Evidence map›Paper›PMID 40240378›Full record

ArticleScientific reports2025

Dose-response effect between the number of long COVID symptoms and the use of different health services.

Yohana Pereira Vieira, Juliana Quadros Santos Rocha, Vanise Dos Santos Ferreira Viero, Bruno Pereira Nunes, Luiz Augusto Facchini, Suele Manjourany Silva Duro, Rosália Garcia Neves, César Fernández-de-Las-Peñas, Mirelle de Oliveira Saes

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–field-weighted citation impact
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.

  1. Observational
  2. Living With Persistent Respiratory Symptoms of Long COVID: Qualitative Study Among Brazilian Adults 12 Months After Acute Infection.Health expectations : an international journal of public participation in health care and health policy · 2025
    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.

Yohana Pereira VieiraPostgraduate Programme in Health Sciences, Federal University of Rio Grande, Visconde de Paranaguá, 102, bairro Centro, Rio Grande, Rio Grande do Sul, 96203-900, Brazil. yohanavieira00@gmail.com.ORCID https://orcid.org/0000-0003-4828-8210
Juliana Quadros Santos RochaPostgraduate Programme in Health Sciences, Federal University of Rio Grande, Visconde de Paranaguá, 102, bairro Centro, Rio Grande, Rio Grande do Sul, 96203-900, Brazil.ORCID https://orcid.org/0000-0002-9743-6331
Vanise Dos Santos Ferreira VieroPostgraduate in Health Sciences, Federal University of Rio Grande, Rio Grande, Rio Grande do Sul, Brazil.ORCID https://orcid.org/0000-0002-7780-3595
Bruno Pereira NunesPostgraduate in Nursing, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.ORCID https://orcid.org/0000-0002-4496-4122
Luiz Augusto FacchiniBrazilian Collective Health Association, Rio de Janeiro, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0002-5746-5170
Suele Manjourany Silva DuroPostgraduate in Nursing, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.ORCID https://orcid.org/0000-0001-5730-0811
Rosália Garcia NevesState Health Department, Pelotas, Rio Grande do Sul, Brazil.ORCID https://orcid.org/0000-0001-6798-9130
César Fernández-de-Las-PeñasDepartment of Physical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine, Universidad Rey Juan Carlos, Alcorcón, Madrid, Spain.ORCID https://orcid.org/0000-0003-3772-9690
Mirelle de Oliveira SaesPostgraduate Programme in Health Sciences, Federal University of Rio Grande, Visconde de Paranaguá, 102, bairro Centro, Rio Grande, Rio Grande do Sul, 96203-900, Brazil.ORCID https://orcid.org/0000-0001-7225-1552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to identify the use of health services by individuals with long COVID residing in South Brazil 6 months after the acute phase of a SARS-CoV-2 infection. A cross-sectional cohort study of individuals who survived coronavirus disease was conducted in Rio Grande, Brazil. The participants were asked about their use of health services during the 6-10 months following recovery from SARS-CoV-2 infection. Data on the overall use of primary healthcare services, general practitioner services, emergency services, specialist doctors' services, and specialized services were collected. Individuals with long COVID reported more frequent use of primary healthcare services, emergency services, specialist doctors' services, and specialized services than those without long COVID. The musculoskeletal, neurological, and respiratory symptoms of long COVID were associated with frequent use of primary healthcare services, whereas the neurological, digestive, and respiratory symptoms were associated with frequent use of emergency services. Finally, the use of specialist doctors' services and specialized services was more frequent in participants with neurological symptoms than in those without these symptoms. Individuals with long COVID used more healthcare services than those without long COVID in South Brazil. Participants with a greater number of symptoms used more health services than those with fewer symptoms. Healthcare services use depends on the type of the long COVID symptoms. Health services in Brazil need to be reorganized and adapted to provide adequate treatment and care to people with long COVID.

Indexed as

COVID-19Health ServicesAdultAgedBrazilCross-Sectional StudiesFemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromePrimary Health CareSARS-CoV-2BrazilCOVID-19Cross-sectional studiesHealth servicesHealth services researchSARS-CoV-2

Identifiers

PMID40240378
PMCPMC12003792

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.