The value of predictive instruments in the screening of acute stroke: an umbrella review on previous systematic reviews

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BARATLOO ALIREZA; Mohamadi Mobin; MOHAMMADI MOHAMMAD; Toloui Amirmohammad; Madani Neishaboori Arian; Rafiei Alavi Seyedeh Niloufar; Nahiyeh Ali; YOUSEFIFARD MAHMOUD

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Journal: Frontiers in Emergency Medicine Year:2022 | Volume:6 | Issue:3 Page(s): 0-0

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Title

The value of predictive instruments in the screening of acute stroke: an umbrella review on previous systematic reviews

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Keywords

Decision Support Techniques

Diagnosis

EmergencyMedical Service

Stroke

Abstract

Objective: Although various predictive instruments have been introduced for early Stroke Diagnosis, there is no consensus on their performance. Therefore, we decided to assess the value of predictive instruments in the detection of Stroke by conducting an umbrella review. Method: A search was performed in the Medline, Embase, Scopus and Web of Science databases by the end of August 2021 for systematic reviews and meta-analyses. Original articles included in the systematic reviews were retrieved, summarized and pooled sensitivity, specificity and diagnostic odds ratio were calculated. The level of evidence was divided into five groups: convincing (class I), highly suggestive (class II), suggestive (class III), weak (class IV) and non-significant. Results: The value of 33 predictive instruments was evaluated. The sample size included in these scoring systems’,assessments varied between 182 and 47072 patients. The level of evidence was class I in one tool, class II in 18 tools, class III in 2 tools, class IV in 11 tools, and non-significant in one tool. Apart from Med PACS, which had a low diagnostic value, other tools appeared to be able to detect a Stroke. The optimum performance for Diagnosis of Stroke was for ROSIER, NIHSS, PASS, FAST, LAMS, RACE and CPSS. Conclusion: Convincing to suggestive evidence shows that ROSIER, NIHSS, PASS, FAST, LAMS, RACE and CPSS have the optimum performance in identifying Stroke. Since ROSIER’, s calculation is simple and has the highest sensitivity and specificity among those predictive instruments, it is recommended for Stroke Diagnosis in pre-hospital and in-hospital settings.

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APA: Copy

BARATLOO, ALIREZA, Mohamadi, Mobin, MOHAMMADI, MOHAMMAD, Toloui, Amirmohammad, Madani Neishaboori, Arian, Rafiei Alavi, Seyedeh Niloufar, Nahiyeh, Ali, & YOUSEFIFARD, MAHMOUD. (2022). The value of predictive instruments in the screening of acute stroke: an umbrella review on previous systematic reviews. (FRONTIERS IN EMERGENCY MEDICINE) ADVANCED JOURNAL OF EMERGENCY MEDICINE, 6(3), 0-0. SID. https://sid.ir/paper/1137247/en

Vancouver: Copy

BARATLOO ALIREZA, Mohamadi Mobin, MOHAMMADI MOHAMMAD, Toloui Amirmohammad, Madani Neishaboori Arian, Rafiei Alavi Seyedeh Niloufar, Nahiyeh Ali, YOUSEFIFARD MAHMOUD. The value of predictive instruments in the screening of acute stroke: an umbrella review on previous systematic reviews. (FRONTIERS IN EMERGENCY MEDICINE) ADVANCED JOURNAL OF EMERGENCY MEDICINE[Internet]. 2022;6(3):0-0. Available from: https://sid.ir/paper/1137247/en

IEEE: Copy

ALIREZA BARATLOO, Mobin Mohamadi, MOHAMMAD MOHAMMADI, Amirmohammad Toloui, Arian Madani Neishaboori, Seyedeh Niloufar Rafiei Alavi, Ali Nahiyeh, and MAHMOUD YOUSEFIFARD, “The value of predictive instruments in the screening of acute stroke: an umbrella review on previous systematic reviews,” (FRONTIERS IN EMERGENCY MEDICINE) ADVANCED JOURNAL OF EMERGENCY MEDICINE, vol. 6, no. 3, pp. 0–0, 2022, [Online]. Available: https://sid.ir/paper/1137247/en

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