{"doi":"10.3389/fstro.2024.1355889","title":"Identification of specific recommendations for prehospital stroke care associated with shorter door-to-CT times – An analysis of Get with the Guidelines-Stroke registry and prehospital data","abstract":"Objective: Full compliance with American Heart Association (AHA) recommendations for prehospital care of stroke patients remains low. This study aims to identify components of prehospital care associated with shorter door-to-CT times. Methods: Data from a comprehensive stroke center's Get with the Guidelines-Stroke Registry was supplemented by prehospital medical records for ischemic stroke patients between January 1, 2018, and December 31, 2020. Descriptive statistics and multivariable linear regression modeling evaluated door-to-CT times for encounters compliant with AHA recommendations. Results: There were 621 ischemic stroke patients who presented via a prehospital provider, 452 of whom presented from the scene. Without adjusting for potential confounders, shorter door-to-CT times were observed with EMS documentation of a last known well time, measurement of a blood glucose lever, prenotification of suspected stroke, or full compliance with AHA recommendations. Documentation of classic stroke signs, but not documentation of a prehospital stroke scale, was also observed to have shorter door-to-CT times compared to encounters where this did not occur. Conclusions: During prehospital care of stroke, documentation of classic symptoms, obtaining a last known well time or time of symptom onset, obtaining a blood glucose level, prenotification of the receiving hospital of suspected stroke, and full guideline-compliance are associated with shorter door-to-CT times. Further studies are needed to understand if a shift in prehospital provider education, focusing on these key components of care, could lead to earlier diagnosis and treatment of acute stroke.","journal":"Frontiers in Stroke","year":2024,"id":444771,"datarank":0.31191623125197543,"base_score":2.0794415416798357,"endowment":2.0794415416798357,"self_citation_contribution":0.31191623125197543,"citation_network_contribution":0.0,"self_endowment_contribution":0.31191623125197543,"citer_contribution":0.0,"corpus_percentile":46.07410845517135,"corpus_rank":6946,"citation_count":7,"citer_count":4,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.6441,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":29.1667,"fair_percentile":43.01436869458881,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":909397,"name":"Hannah M. 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Poisson","orcid":"0000-0002-7162-4043","position":8,"is_corresponding":false},{"id":436226,"name":"Layne Dylla","orcid":"0000-0002-5664-779X","position":0,"is_corresponding":true}],"reference_count":22,"raw_metadata":null,"created_at":"2026-07-19T02:01:37.886033Z","pmid":"40709051","pmcid":"PMC12288049","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":11.1111,"fair_a":50.0,"fair_i":20.0,"fair_r":41.6667,"fair_zscore":-0.2091,"fair_rationale":{"fair_score":29.17,"has_llm":true,"taxonomy_version":"fair_taxonomy_v5","dimensions":{"F":{"name":"Findable","score":11.11,"criteria":[{"key":"f_dataset_pid","label":"Persistent identifier for the data","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No persistent identifier for the dataset is given.","anchors":["RDA-F1-01D — FAIR Data Maturity Model: 'Data is identified by a persistent identifier' (priorit","RDA-F1-02D — FAIR Data Maturity Model: 'Data is identified by a globally unique identifier'","FsF-F1-02D — F-UJI/FAIRsFAIR: 'Data is assigned a persistent identifier'"],"scored":true,"signal":null},{"key":"f_repository_named","label":"Named repository","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No repository is named as the holder of the data.","anchors":["RDA-F4-01M — FAIR Data Maturity Model: metadata is offered so it can be harvested and indexed (","NIH DMS Policy Element 4 (NOT-OD-21-014) — name the repository where data will be archived","NSTC Desirable Characteristics of Data Repositories (2022) — 'Long-Term Sustainability', 'Reten"],"scored":true,"signal":null},{"key":"f_data_availability_statement","label":"Data-availability statement","kind":"llm","weight":2.0,"fraction":0.5,"verdict":"partial","evidence":"The original contributions presented in the study are included in the article/ Supplementary material, further inquiries can be directed to the corresponding author.","grounded":true,"rationale":"The statement points to the article and supplementary material (Colavizza category 2) and also to the author (category 1), so partial.","anchors":["Colavizza, Hrynaszkiewicz, Staden, Whitaker & McGillivray (2020), 'The citation advantage of li","Springer Nature research data policy — Data Availability Statements: standard statement templat","RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes"],"scored":false,"signal":null},{"key":"f_discovery_metadata","label":"Description of the dataset as an object","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"Data from a comprehensive stroke center’s Get with the Guidelines-Stroke registry were supplemented by prehospital medical records for ischemic stroke patients between January 1, 2018, and December 31, 2020.","grounded":false,"rationale":"The dataset content is described in running prose, not an itemised inventory. 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A name is not a link: it cannot be resolved, versioned, or followed by a machine.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No identifier for any external resource is provided.","gain":0.0,"priority":"useful","scored":false},{"key":"a_timeline_retention","dimension":"A","label":"Availability timing & retention","action":"State when the data become available AND how long they will be retained — cite the repository's preservation policy. NIH DMS Element 4 asks for both; most papers give neither.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No retention or persistence commitment is stated. [majority verdict 'no' (4/5 passes agreed)]","gain":0.0,"priority":"useful","scored":false}],"suggestions":["Mint or cite a persistent identifier for the dataset — a repository DOI or an accession from a registered repository — and print it in the paper. 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'Free to use' is not a licence: it grants nothing a reuser's institution can rely on.","Cite the dataset in the reference list like a publication — creator, year, title, repository, DOI/accession — and cite it in-text where it is used. Only a reference- list entry is machine-readable to Crossref/DataCite, and only a citation lets the data earn credit. Cite the clinical / human-subjects repository accession (e.g. from dbGaP or the European Genome-phenome Archive (EGA)) in the reference list.","Release the data in an open, community-standard format (CSV/TSV, JSON, HDF5, NetCDF, FASTQ, VCF, NIfTI…) instead of — or alongside — any proprietary or instrument-native format, and name the format in the paper. A dataset that needs a €2,000 licence to open is not reusable."],"model":"deepseek/deepseek-v4-flash","agent_version":"fair_agent_v8","fulltext_source":"unpaywall_pdf"},"fair_model":"deepseek/deepseek-v4-flash","fair_agent_version":"fair_agent_v8","fair_fulltext_source":"unpaywall_pdf","fair_has_llm":true,"fair_computed_at":"2026-07-20T12:40:14.239227Z","clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}