Evidence map›Paper›PMID 40804361›Full record

ArticleBMC neurology2025

Study on delay factors and time to hospital arrival after acute stroke in patients at Shahid Rajaei hospital, Tonekabon (2022-2023).

Mohadeseh Farokhfar, Mohamad Saleh Pezeshki Almani

Abstract read
In one paragraph

Article in BMC neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Review
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  6. Review
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

2 authors.

Mohadeseh FarokhfarDepartment of Neurology, Mazandaran University of Medical Sciences, Ramsar Campus, Ramsar, Iran. Mohad.farrokhfar@gmail.com.ORCID http://orcid.org/0000-0001-9058-0659
Mohamad Saleh Pezeshki AlmaniStudent Research Committee, Shahid Rajaei Hospital, Mazandaran University of Medical Sciences, Tonekabon, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke is a sudden focal neurological deficit caused by vascular damage to the central nervous system. Globally, stroke is a leading cause of death and disability, with a particularly significant burden in low- and middle-income countries. In Iran, the incidence of acute stroke is increasing, and the age of onset is lower compared to developed countries. This study examines factors causing pre-hospital delays in acute stroke patients at Shahid Rajaei Hospital, Tonekabon, North of Iran (2022-2023). Timely intervention is critical for improving outcomes, as delays significantly affect treatment effectiveness. This study aims to identify the primary causes of pre-hospital delays in acute stroke patients and provide actionable insights to enhance timely intervention strategies, ultimately improving patient outcomes.

methodsA retrospective descriptive-analytical study was conducted on 150 acute stroke patients using census sampling. Data included demographics, symptoms, and time intervals from onset to hospital arrival. Analysis was performed with SPSS using chi-square, T-tests, and ANOVA.

resultsOf the 150 patients, 81.3% arrived over 4.5 hours after symptom onset, missing the thrombolytic treatment window. Statistical analysis revealed significant associations between some demographic and clinical factors: shorter distances to the hospital and faster arrival (p = 0.037), presence of a witness (p = 0.041), and stroke onset during the daytime (p = 0.002) were linked to reduced delays. Marital status also influenced arrival times significantly (p = 0.007). Other delay factors included unawareness of stroke symptoms (46%), being alone (14.7%), and symptoms occurring during sleep (8.6%).

conclusionsThe study highlights the need for public education on stroke symptoms and improved emergency systems to reduce delays. Addressing these gaps can enhance patient outcomes, especially in areas with limited awareness and resources.

Indexed as

StrokeTime-to-TreatmentAdultAgedAged, 80 and overFemaleHumansIranMaleMiddle AgedRetrospective StudiesThrombolytic TherapyTime FactorsHealth educationStrokeThrombolytic therapyTime-to Treatment

Identifiers

PMID40804361
PMCPMC12351997

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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.