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References from DIAGnosis using NOvel technology for Subtypes In Stroke (DIAGNOSIS study): performance evaluation protocol. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1161/strokeaha.13.000851
10.1161/strokeaha.13.000851 · External reference
10.1161/strokeaha.107.484329
10.1161/strokeaha.107.484329 · External reference
10.1161/01.str.0000044170.46643.5e
10.1161/01.str.0000044170.46643.5e · External reference
Accuracy and Implications of Hemorrhagic Stroke Recognition by Emergency Medical Services
10.1080/10903127.2020.1831669 · 2021 · External reference
Purines for Rapid Identification of Stroke Mimics (PRISM): study protocol for a diagnostic accuracy study
10.1186/s41512-021-00098-3 · 2021 · External reference
10.4997/jrcpe.2013.205
10.4997/jrcpe.2013.205 · External reference
10.1161/strokeaha.121.037591
10.1161/strokeaha.121.037591 · External reference
10.1001/jama.2016.13647
10.1001/jama.2016.13647 · External reference
10.1056/nejmoa2314741
10.1056/nejmoa2314741 · External reference
Effect of Bypassing the Closest Stroke Center in Patients with Intracerebral Hemorrhage: A Secondary Analysis of the RACECAT Randomized Clinical Trial
10.1001/jamaneurol.2023.2754 · 2023 · External reference
Probability assessment of intracerebral hemorrhage in prehospital emergency patients
10.1186/s42466-020-00100-1 · 2021 · External reference
Clinical Prediction Rules to Classify Types of Stroke at Prehospital Stage
10.1161/strokeaha.118.021794 · 2018 · External reference
Prehospital Identification of Stroke Subtypes in Chinese Rural Areas
10.4103/0366-6999.180521 · 2016 · External reference
10.1161/str.0000000000000407
10.1161/str.0000000000000407 · External reference
Optimization of sensitivity and specificity of a biomarker-based blood test (LVOCheck-Opti): A protocol for a multicenter prospective observational study of patients suspected of having a stroke
10.3389/fneur.2023.1327348 · 2023 · External reference
Role of glial fibrillary acidic protein as a biomarker in differentiating intracerebral haemorrhage from ischaemic stroke and stroke mimics: a meta-analysis
10.1080/1354750x.2019.1691657 · 2020 · External reference
D-Dimer as Predictor of Large Vessel Occlusion in Acute Ischemic Stroke
10.1161/strokeaha.120.031657 · 2021 · External reference
10.1002/sim.7992
10.1002/sim.7992 · External reference
Calculating the sample size required for developing a clinical prediction model
10.1136/bmj.m441 · 2020 · External reference
10.1007/978-3-030-16399-0
10.1007/978-3-030-16399-0 · External reference
10.1177/0272989x06295361
10.1177/0272989x06295361 · External reference
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
10.1136/bmj-2023-078378 · 2024 · External reference
STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration
10.1136/bmjopen-2016-012799 · 2016 · External reference
Requirements for Minimum Sample Size for Sensitivity and Specificity Analysis
2016 · External reference
Development and internal validation of prehospital prediction models for identifying intracerebral haemorrhage in suspected stroke patients
10.1136/bmjno-2024-000878 · 2024 · External reference
