Evidence map›Paper›PMID 39907353›Full record

ArticleRevista latino-americana de enfermagem2025

Prevalent symptoms and characteristics of the Long COVID-19 population: a scoping review.

Karina Marques Prediger, Ana Cristina Ribeiro, Sílvia Carla da Silva André Uehara

Abstract readScoping Review
In one paragraph

Article in Revista latino-americana de enfermagem, 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. 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

3 authors.

Karina Marques PredigerUniversidade Federal de São Carlos, Departamento de Enfermagem, São Carlos, SP, Brazil.ORCID 0000-0001-8323-3632
Ana Cristina RibeiroUniversidade Federal de São Carlos, Departamento de Enfermagem, São Carlos, SP, Brazil.ORCID 0000-0002-0493-8376
Sílvia Carla da Silva André UeharaUniversidade Federal de São Carlos, Departamento de Enfermagem, São Carlos, SP, Brazil.ORCID 0000-0002-0236-5025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

to map the scientific literature on the clinical and demographic characteristics of Long COVID-19. this is a scoping review based on the principles recommended by the JBI and the PRISMA guidelines for data extraction, carried out on four databases. The PCC strategy was used for data collection, and the results were described and diagrammed. The studies were selected after removing duplicates, individual and peer review. an analysis of the 13 articles selected showed that Long COVID affects all age groups and people of both sexes, presenting a multiplicity of symptoms, such as fatigue (61.5%), dyspnea (46.1%), changes in smell and/or taste (38.6%), anxiety (15.3%) and cognitive impairment (30.7%). Females were found to be at increased risk of developing Long COVID. identifying the symptoms prevalent in Long COVID contributes to public health strategies for diagnosing and assisting people affected by the disease. Future studies are recommended on the approach to the persistence of symptoms in Long COVID and the relationship between adherence to the vaccination schedule against COVID-19, gender, race/ethnicity, degree of susceptibility in the different age groups, level of education and income, as well as the most recurrent comorbidities in the population.

background(1) It was found that Long COVID affects all age groups of both sexes. (2) Most common symptoms: fatigue, dyspnea and altered sense of smell and/or taste. (3) Risk factors: female gender, COVID-19 severity and comorbidities.

Indexed as

Post-Acute COVID-19 SyndromeCOVID-19DyspneaFemaleHumansMalePrevalenceRisk FactorsSARS-CoV-2Sex Factors

Identifiers

PMID39907353
PMCPMC11789739

What OpenQuestion holds

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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.