Evidence map›Paper›PMID 42266925›Full record

ArticleFrontiers in stroke2026

Improving stroke outcomes through progressive implementation of stroke unit care in Brazil: a longitudinal observational study.

Giovani Noll, Artur Francisco Schumacher Schuh, Lenise Valler, Andrea Garcia de Almeida, Rosane Brondani, Magda Carla Ouriques Martins, Gustavo Weiss, Angélica Dal Pizzol, Letícia Costa Rebello, Luiz Antônio Nasi and 1 more

Abstract read
In one paragraph

Article in Frontiers in stroke, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Giovani NollNeurology Department, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Artur Francisco Schumacher SchuhNeurology Department, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Lenise VallerNeurology Department, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Andrea Garcia de AlmeidaNeurology Department, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Rosane BrondaniNeurology Department, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Magda Carla Ouriques MartinsNeurology Department, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Gustavo WeissNeurology Department, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Angélica Dal PizzolNeurology Department, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Letícia Costa RebelloNeurology Department, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.
Luiz Antônio NasiUniversidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Sheila Cristina Ouriques MartinsNeurology Department, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Stroke remains a leading cause of death and disability worldwide, with a disproportionate burden in low- and middle-income countries (LMICs). Although stroke unit (SU) care improves outcomes, evidence from LMIC settings is still limited. We evaluated the impact of three sequential stroke-care models implemented in a Brazilian public university hospital. Patients and methods: This longitudinal observational study included 1,889 patients with ischemic or hemorrhagic stroke across three care models: before stroke unit (BSU), acute stroke unit (ASU), and comprehensive stroke unit (CSU). Demographic characteristics, stroke subtype, baseline severity, imaging metrics, and outcomes were collected using retrospective and prospective approaches. Primary outcomes were 90-day case fatality and functional status assessed by the modified Rankin scale (mRS). Secondary outcomes included door-to-CT time, thrombolysis rates, pneumonia, access to rehabilitation, and length of stay. Multivariable logistic regression was used to identify predictors of mortality and excellent functional outcome (mRS 0-1). Results: The implementation of structured stroke-care models was associated with significant improvements in outcomes. Functional independence at 90 days (mRS 0-2) increased from 45.6% (BSU) to 60.3% (ASU) and 56.3% (CSU) ( Conclusion: Stepwise implementation of structured stroke-care models significantly reduced mortality and improved functional outcomes in this LMIC setting. These findings support the effectiveness and scalability of SU-particularly comprehensive models-as key strategies to strengthen stroke systems of care.

Indexed as

delivery of health caredeveloping countrieslow- and middle-income countries (LMIC)public healthstrokestroke unit care

Identifiers

PMID42266925
PMCPMC13243012

What OpenQuestion holds

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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.