好色先生

好色先生

Explore the latest content from across our publications

Log In

Forgot Password?
Create New Account

Loading... please wait

Abstract Details

Critical Analysis Of Differentiation Between Ischemic And Hemorrhagic Stroke In Resource Limited Settings: A Systematic Review
Cerebrovascular Disease and Interventional Neurology
P1 - Poster Session 1 (9:00 AM-5:00 PM)
119

We aim to facilitate the development of a high performing clinical score for stroke classification to enable early and accurate diagnosis of stroke type. We present a systematic review of validation studies on Siriraj(SS), Guys Hospital/Allen(GHS/AS), Greek(GS) and, Besson(BS) Scores from 2001 to 2021. We further perform a comparative analysis of the performance of these scores.

The challenge in effective treatment of Stroke is the timely identification of stroke and differentiating between ischemic(IS) and hemorrhagic(HS) stroke. Currently, the only reliable method is Neuroimaging. Lack of resources and low neurologist to patient ratio especially in developing nations, generates an unmet need for a clinical score with high sensitivity and specificity in differentiating IS and HS. Early diagnosis can prompt quick referral to centres with facilities for treatment.

We follow PRISMA guidelines, to identify a total of 22 studies for the defined scope and period. For all the included studies we derive a more accurate confusion matrix by including the equivocal predictions and calculate the corresponding performance metrics. We further compare them with results reported by the studies. 

Figure: PRISMA flow-diagram.

SS is most evaluated score, by 21 studies, followed by GHS/AS, GS, and BS by 12, 3, and 1 respectively.
Comparatively lower values of calculated performance metrics than the ones reported by the studies reflect over estimated performance of scores. SS performs better than the rest. However, GS and BS haven't been widely evaluated.

Table: Range of Reported and Calculated values of performance metrics.

SS perform better than others. However, inconsistency and high variability in performance across
different demographics makes its reliability questionable. Also, the equivocal interval in SS, GHS/AS and GS, result in poor classification capability. We emphasize the need of a global dataset with statistically important clinical features for developing a clinical score which avoids equivocals and generalizes globally.

Authors/Disclosures

PRESENTER
No disclosure on file
Padma V. Hadakasira, MD (Medwis Healthcare Communications Pvt Ltd) Dr. Hadakasira has nothing to disclose.
No disclosure on file
No disclosure on file
Venugopalan Y. Vishnu, MD (All India Institute of Medical Sciences, New Delhi) The institution of Dr. Vishnu has received research support from Department of Health Research.
No disclosure on file