ReviewJournal of personalized medicine2023
Analysis of the Factors Intervening in the Prehospital Time in a Stroke Code.
Review in Journal of personalized medicine, 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, 4 citations in OpenAlex.
- Integrating Telemedical Supervision, Responder Apps, and Data-Driven Triage: The RuralRescue Model of Personalized Emergency Care.Journal of personalized medicine · 2025Article
- Regional Disparities in the Social Determinants of Stroke Severity.Research square · 2025Article
- Regional Disparities in the Social Determinants of Stroke Severity.medRxiv : the preprint server for health sciences · 2025Article
- FAST4D-A New Score to Reduce Missed Strokes in Emergency Medical Service: A Prospective, Multicentric Observational Proof-of-Concept Trial.Journal of clinical medicine · 2024Article
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
introductionStrokes continue to be considered public health problems due to the great social and health impact they entail. They are the second cause of death in the world, with a high incidence and prevalence. They are time-dependent diseases, and more than 80% of cases could be avoidable with greater management of risk factors.
objectiveto analyze the factors that influence prehospital time in a stroke code. Assess the population's knowledge of stroke symptoms and teach them how to act when a case is suspected. Document the continued training of health professionals for the early identification of patients with a suspected stroke. Demonstrate the importance of calling EMS as the first contact to reduce delays in prehospital time in a stroke. METHODOLOGY: A bibliographic review was carried out focusing on articles published between December 2014 and August 2023. The following databases were consulted: Pubmed (Medline), Dialnet, Google Scholar, Web of Science (WOS), Scielo, Scopus, and ScienceDirect.
resultsAfter applying the article selection criteria and evaluating the quality of the methodology, a total of 18 articles were obtained. The results affirm that the importance of achieving a reduction in prehospital time is based mainly on knowledge of the symptoms and the use of new technologies.
conclusionsThe evidence supports that the prehospital time of action in the stroke code is affected by numerous factors. These factors are determining factors in the time of action to achieve good effectiveness in the treatment of the pathology.
Indexed as
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What OpenQuestion holds
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.