ArticleCureus2023
Causes of Pre-hospital Delay in Acute Stroke in Punjab.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 2 citations in OpenAlex.
- Time Lost Is Brain Lost: Insights into Acute Ischaemic Stroke Delays in a Tertiary Care Super-speciality Centre in Jharkhand.Annals of neurosciences · 2026Article
- Review
- Impact of Pre-Hospital and in-Hospital Optimization on the Management of Intravenous Thrombolysis in Hyperacute Ischemic Stroke: A Scoping Review.Risk management and healthcare policy · 2025Review
- Barriers to Effective Prehospital and Hyperacute Stroke Care in India: A Physician Perspective.Journal of emergencies, trauma, and shockArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Pre-hospital delay, which refers to the time delay between the development of symptoms in the patient and the start of treatment, is one of the major factors impacting the treatment of stroke. This study aimed to identify patient characteristics and factors causing a pre-hospital delay in acute stroke (both ischemic and hemorrhagic) cases. Methodology This prospective follow-up study included 100 patients who presented with clinical features of acute stroke within 48 hours of symptom onset. A pre-designed questionnaire was administered within 72 hours of hospital admission to every patient. Results The mean time to hospital presentation was 7.73 hours. Only 2% of patients were thrombolysed. Age group, gender, education status, occupation, and socioeconomic status were not significantly (p > 0.05) associated with the mean symptom onset time to hospital arrival. Rural area (p < 0.001), nuclear family (p = 0.004), distance from the tertiary care center (p < 0.001), being alone at the time of symptom onset (p < 0.001), lack of knowledge about symptoms of stroke in patient/attendant (p < 0.001), and mode of transport were the factors that emerged as significant predictors of pre-hospital delay on univariate analysis. Living in a nuclear family, distance from the tertiary care center, and mode of transport were the factors that emerged as independent predictors of pre-hospital delay on multiple linear regression analysis. Conclusions In this study, factors associated with delayed hospital presentation including living in a nuclear family, distance from the tertiary care center, and use of public transport to reach the hospital emerged as independent predictors of pre-hospital delay.
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Registered trials
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.