Evidence map›Paper›PMID 37364863›Full record

ArticleThe American journal of tropical medicine and hygiene2023

Prevalence and Predictors of COVID-19 Long-Term Symptoms: A Cohort Study from the Amazon Basin.

Kletey M Silva, Dhayn C A Freitas, Sabrina S Medeiros, Laís V A Miranda, Jessica B M Carmo, Roberta G Silva, Luana L Becker, Emanuel S Abreu, Leonardo Buranello, Maria S M Souza and 5 more

Open access · hybridAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 4 pooled it
2.5field-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

9 citing papers in PubMed, 4 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Understanding how social determinants of health shape Long COVID outcomes: a rapid review of evidence.Archives of public health = Archives belges de sante publique · 2025
    Pooled it
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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

15 authors at 4 institutions in 2 countries.

Kletey M SilvaFederal University of Acre, Rio Branco, Brazil.
Dhayn C A FreitasFederal University of Acre, Rio Branco, Brazil.
Sabrina S MedeirosFederal University of Acre, Rio Branco, Brazil.
Laís V A MirandaFederal University of Acre, Rio Branco, Brazil.
Jessica B M CarmoFederal University of Acre, Rio Branco, Brazil.
Roberta G SilvaFederal University of Acre, Rio Branco, Brazil.
Luana L BeckerFederal University of Acre, Rio Branco, Brazil.
Emanuel S AbreuFederal University of Acre, Rio Branco, Brazil.
Leonardo BuranelloFederal University of Acre, Rio Branco, Brazil.
Maria S M SouzaFederal University of Acre, Rio Branco, Brazil.
Wilson NadruzUniversity of Campinas, Campinas, Brazil.
Miguel M Fernandes-SilvaFederal University of Parana, Curitiba, Brazil.
James H MaguireDivision of Infectious Disease, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Cristina Toledo-CornellDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Odilson M SilvestreFederal University of Acre, Rio Branco, Brazil.
Universidade Federal do Acre · BRBrigham and Women's Hospital · USUniversidade Estadual de Campinas (UNICAMP) · BRUniversidade Federal do Paraná · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It remains unclear whether a previous history of tropical infectious diseases and a second SARS-COV-2 infection may influence the likelihood of later symptoms. In this prospective cohort study, individuals infected with SARS-CoV-2 were followed up by telephone shortly after diagnosis of COVID-19 and again 12 months later. Poisson regression was used to identify the predictors of the highest number of symptoms in the post-COVID-19 syndrome. A total of 1,371 patients with COVID-19, with a mean age of 39.7 ± 11.7 years and 50% female, were followed for 12 months. Reinfection was found in 32 (2.3%) participants, and 806 (58.8%) individuals reported a previous history of dengue, malaria, Zika, chikungunya, leprosy, and visceral leishmaniasis. Eight hundred seventy-seven (63.9%) participants reported late symptoms related to COVID-19. After adjusting for multiple factors, female sex, non-White race, number of acute-phase symptoms, body mass index, and reinfection were independent predictors of higher number of symptoms in post-COVID-19 syndrome. Female sex, non-White race, number of acute-phase symptoms, body mass index, and reinfection, but not previous endemic tropical diseases, were associated with long-term symptoms.

Indexed as

COVID-19Zika VirusZika Virus InfectionAdultCohort StudiesFemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromePrevalenceProspective StudiesReinfectionSARS-CoV-2

Identifiers

PMID37364863
PMCPMC10397456
OpenAlexW4382024746

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.