Evidence map›Paper›PMID 41816771›Full record

ArticleJornal vascular brasileiro2025

Effects of the COVID-19 pandemic on thoracic sympathectomies performed on Brazil's Public Health System.

Carolina Carvalho Jansen Sorbello, Felipe Soares Oliveira Portela, Marcelo Fiorelli Alexandrino da Silva, Marcelo Passos Teivelis, Giulia de Payrebrune St Séve Marins Girardi, José Ribas Milanez de Campos, Nelson Wolosker

Abstract read
In one paragraph

Article in Jornal vascular brasileiro, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Carolina Carvalho Jansen SorbelloHospital Israelita Albert Einstein, São Paulo, SP, Brasil.ORCID 0009-0004-1229-5130
Felipe Soares Oliveira PortelaHospital Israelita Albert Einstein, São Paulo, SP, Brasil.ORCID 0000-0002-1720-2771
Marcelo Fiorelli Alexandrino da SilvaHospital Israelita Albert Einstein, São Paulo, SP, Brasil.ORCID 0000-0002-0714-5291
Marcelo Passos TeivelisHospital Israelita Albert Einstein, São Paulo, SP, Brasil.ORCID 0000-0002-3648-6773
Giulia de Payrebrune St Séve Marins GirardiFaculdade Israelita de Ciências da Saúde Albert Einstein - FICSAE, São Paulo, SP, Brasil.ORCID 0009-0002-0007-3288
José Ribas Milanez de CamposUniversidade de São Paulo - USP, Faculdade de Medicina, São Paulo, SP, Brasil.ORCID 0000-0002-2385-7707
Nelson WoloskerFaculdade Israelita de Ciências da Saúde Albert Einstein - FICSAE, São Paulo, SP, Brasil.ORCID 0000-0003-1991-3507

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic affected health resources in Brazil, as priority was given to providing care to those infected. As a result, patients with other pathologies suffered delays in treatment, especially those waiting for elective surgical treatments, such as sympathectomy for hyperhidrosis. Objectives: To analyze the number of thoracic sympathectomies performed to treat hyperhidrosis on the Brazilian Unified Health System (SUS), their mortality, demographics, length of hospital stay, and associated costs in the periods before, during, and after the peak of the COVID-19 pandemic. Methods: This is a retrospective cross-sectional study that analyzed the number of video-assisted thoracic sympathectomies performed on the SUS in the 2 years prior to the pandemic (2018 and 2019), the 2 years of peak pandemic (2020 and 2021), and the 2 years after (2022 and 2023). Data on regional distribution, profile of patients, hospitalization, and associated mortality were also analyzed. Figures were extracted from the SUS Department of Informatics (DATASUS) database. Results: The number of sympathectomies performed in Brazil during 2020 and 2021 was 60% lower than the number recorded in 2018 and 2019, followed by a 30% smaller than expected increase in 2022 and 2023. Half of these procedures were conducted in the Southeast region of the country. The profile of patients was predominantly young women. Hospitalization time, costs, and mortality were stable over the years. Conclusions: The volume of sympathectomies for treatment of hyperhidrosis in the SUS was severely affected by the COVID-19 pandemic and remains in slow recovery. The regional distribution, demographic profile, hospitalization data, and mortality rate remained stable.

Indexed as

big dataCOVID-19hyperhidrosispublic healthsympathectomythoracoscopy

Identifiers

PMID41816771
PMCPMC12974592

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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.