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Manuscript Submission Deadline 26 January 2024

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Despite the increasing representation of old and very old stroke patients, there is little information on the prevalence and impact of ageism in stroke research. Ageism in stroke research (intended as preconceptions or age-related bias in the research around stroke) may influence the investigation of diagnosis, classification, and prognosis of stroke. For instance, instead of identifying clinical biomarkers of frailty or decreased physiological functional reserve, prognostic scores incorporate age as a factor of poor outcomes. This approach is necessarily less appropriate because it prevents clinicians and researchers from improving the identification of specific risk factors of poor outcomes, in the most represented age subgroup of stroke patients, the very old.

Most of the stroke research has been focused on people between 18 and 75 years old, with less attention to the specific health and pathophysiological background of very old people potentially impacting the risk, onset, outcome, and prognosis of stroke. Moreover, the absence of specific / adapted systems or methods of assessing, classifying, and predicting stroke may increase the risk of poor functional and vital prognosis in very old patients. Reevaluation of sensitivity and specificity of current classification/prognostication tools; introduction of specific items in these tools can help identification of better strategies for the management of stroke in the very old.

Our Research Topic aims at highlighting the most recent findings investigating preconception and age-related bias in stroke research. This collection will provide a spotlight on innovative strategies to predict and manage stroke in the very old population and help with people stratification for individualized strategies of stroke prevention and treatment in the very old.

This Research Topic welcomes the submission of any type of manuscript supported by the journal (including Original Research, Review, etc.) pertaining but not limited to the following themes:
- Sensitivity and specificity analysis of severity tools or scales in the very old (NIHSS, ICH score, and others)
- Sensitivity and specificity analysis of ischemic stroke etiological classifications in the very old: Trial of Org 10172 in acute stroke treatment (TOAST), the causative classification system Atherosclerosis, Small-vessel disease, Cardiac source, Other cause (ASCO )
- The contribution of age-related or specific characteristics (comorbidities, frailty) to the acute and long-term prognosis
- Novel biomarkers to predict the outcome of stroke in the very old

Keywords: Methods, stroke, research, ageism, late elderly


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Despite the increasing representation of old and very old stroke patients, there is little information on the prevalence and impact of ageism in stroke research. Ageism in stroke research (intended as preconceptions or age-related bias in the research around stroke) may influence the investigation of diagnosis, classification, and prognosis of stroke. For instance, instead of identifying clinical biomarkers of frailty or decreased physiological functional reserve, prognostic scores incorporate age as a factor of poor outcomes. This approach is necessarily less appropriate because it prevents clinicians and researchers from improving the identification of specific risk factors of poor outcomes, in the most represented age subgroup of stroke patients, the very old.

Most of the stroke research has been focused on people between 18 and 75 years old, with less attention to the specific health and pathophysiological background of very old people potentially impacting the risk, onset, outcome, and prognosis of stroke. Moreover, the absence of specific / adapted systems or methods of assessing, classifying, and predicting stroke may increase the risk of poor functional and vital prognosis in very old patients. Reevaluation of sensitivity and specificity of current classification/prognostication tools; introduction of specific items in these tools can help identification of better strategies for the management of stroke in the very old.

Our Research Topic aims at highlighting the most recent findings investigating preconception and age-related bias in stroke research. This collection will provide a spotlight on innovative strategies to predict and manage stroke in the very old population and help with people stratification for individualized strategies of stroke prevention and treatment in the very old.

This Research Topic welcomes the submission of any type of manuscript supported by the journal (including Original Research, Review, etc.) pertaining but not limited to the following themes:
- Sensitivity and specificity analysis of severity tools or scales in the very old (NIHSS, ICH score, and others)
- Sensitivity and specificity analysis of ischemic stroke etiological classifications in the very old: Trial of Org 10172 in acute stroke treatment (TOAST), the causative classification system Atherosclerosis, Small-vessel disease, Cardiac source, Other cause (ASCO )
- The contribution of age-related or specific characteristics (comorbidities, frailty) to the acute and long-term prognosis
- Novel biomarkers to predict the outcome of stroke in the very old

Keywords: Methods, stroke, research, ageism, late elderly


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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