Evidence map›Paper›PMID 39744527›Full record

ArticleFrontiers in medicine2024

Evaluation of post-COVID mortality risk in cases classified as severe acute respiratory syndrome in Brazil: a longitudinal study for medium and long term.

Nádia Cristina Pinheiro Rodrigues, Mônica Kramer de Noronha Andrade

RetractedAbstract readRetracted Publication
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. It has been retracted, and should not be counted. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Nádia Cristina Pinheiro RodriguesDepartamento de Epidemiologia e Métodos Quantitativos em Saúde/Escola Nacional de Saúde Pública Sérgio Arouca/Fundação Oswaldo Cruz, Rio de Janeiro/Brasil and Departamento de Epidemiologia/Instituto de Medicina Social Hesio Cordeiro/Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil.
Mônica Kramer de Noronha AndradePrograma Academico de Tuberculose/Faculdade de Medicina/Instituto de Doenças do Torax/Hospital Universitário Clementino Fraga Filho/ Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There are few studies in the literature evaluating post-COVID mortality in Brazil, along medium and long term, especially in those who presented severe clinical disease. Objective: This study aims to investigate the factors associated with post-COVID mortality of severe acute respiratory syndrome (SARS) cases from 2020 to 2023 in Brazil, along medium and long term. Methods: Retrospective cohort study using notification data of SARS classified as COVID-19 from the Brazilian National Information System, "Sistema de Vigilância Epidemiológica (SIVEP)," during the period 2020 to 2023. Data included demographics, comorbidities, vaccination status, number of COVID-19 vaccine doses, city of residence, and survival outcomes. Classic Cox, Cox mixed effects, and Cox fragility models were used to assess medium and long-term risks of dying post-COVID. Results: In the medium and long-term periods studied, 5,157 deaths were recorded out of 15,147 reported SARS/COVID-19 cases. Of these deaths, 91.5% ( Conclusion: The protective effect of COVID-19 immunization was observed up to one year after the first symptoms. After one year, the effect was reversed, showing an increased risk of death for those vaccinated. These results highlight the need for further research to elucidate the factors that contribute to these findings.

Indexed as

COVID-19COVID-19 vaccineslongitudinal studiesmortalitysevere acute respiratory syndrome-related coronavirussurvival analysis

Identifiers

PMID39744527
PMCPMC11688282

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.