Evidence map›Paper›PMID 41759500›Full record

ArticleArquivos de neuro-psiquiatria2026

Analysis of mortality predictors in a 1-year cohort of neuropalliative care patients.

Diego Belandrino Swerts, Polyana Vulcano de Toledo Piza, Ana Luíza Araújo, Bernard Lobato Prado, Rafael Ferreira Docema, Caroline Miyake, Hye Sol Hwang, Mario Fernando Prieto Peres

Abstract read
In one paragraph

Article in Arquivos de neuro-psiquiatria, 2026. 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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Diego Belandrino SwertsHospital Israelita Albert Einstein, Faculdade Israelita de Ciências da Saúde Albert Einstein, São Paulo SP, Brazil.ORCID 0000-0002-8782-5982
Polyana Vulcano de Toledo PizaHospital Israelita Albert Einstein, São Paulo SP, Brazil.ORCID 0000-0002-7200-2289
Ana Luíza AraújoHospital Israelita Albert Einstein, São Paulo SP, Brazil.ORCID 0000-0002-4210-1489
Bernard Lobato PradoHospital Israelita Albert Einstein, São Paulo SP, Brazil.ORCID 0000-0003-1146-8146
Rafael Ferreira DocemaHospital Israelita Albert Einstein, Faculdade Israelita de Ciências da Saúde Albert Einstein, São Paulo SP, Brazil.ORCID 0009-0002-7204-9439
Caroline MiyakeHospital Israelita Albert Einstein, Faculdade Israelita de Ciências da Saúde Albert Einstein, São Paulo SP, Brazil.ORCID 0009-0002-4499-0707
Hye Sol HwangHospital Israelita Albert Einstein, Faculdade Israelita de Ciências da Saúde Albert Einstein, São Paulo SP, Brazil.ORCID 0009-0005-4364-357X
Mario Fernando Prieto PeresHospital Israelita Albert Einstein, São Paulo SP, Brazil.ORCID 0000-0002-0068-1905

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Palliative care has been shown to yield benefits in terms of quality of life and therapeutic planning in oncological and non-oncological diseases, but its integration in neurology remains limited.To evaluate the predictive factors of mortality in neurological patients to improve prognosis.In this 1-year cohort study, we followed patients aged > 18 years hospitalized in a neurological Semi-Intensive Care Unit in Brazil. The patients were categorized into two groups based on palliative care indication: those with and those without indication. The palliative care criteria included a "no" response to the Surprise Question, a Palliative Performance Scale (PPS) score below 70%, or significant weight loss (> 5%) with associated body changes.We included 166 patients, 87 with indication and 79 without it. The group with indication had a 29.8% mortality rate (26 deaths) and a 27.7-fold higher risk of death. The factors associated with increased mortality risk within 1 year included PPS score < 40%, answering "no" to the Surprise Question, and weight loss. Notably, 62% (n = 54) of the group with indication were admitted to the Intensive Care Unit (ICU), compared to 12% (n = 12) in the group without indication. Advanced directives were only documented in 31% (n = 27) of the group with indication and in 59% (n = 16) of the patients who died. Prognostic assessment in neurological diseases is challenging due to limited data.In the present study, we found that the PPS score, the Surprise Question, and weight loss were significant predictors of mortality within 1 year. These findings highlight the need for further research to provide better end-of-life markers and ensure greater autonomy in neurological disease management.

Indexed as

Nervous System DiseasesPalliative CareAdultAgedBrazilCohort StudiesFemaleHumansIntensive Care UnitsMaleMiddle AgedPrognosisQuality of LifeRisk FactorsTime Factors

Identifiers

PMID41759500
PMCPMC12948463

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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.