Cell death & disease · 2026
Should all MCI with Alzheimer's biological diagnosis receive anti-amyloid therapy?
СтатьяОбзорНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Rossini Paolo Maria, Pappalettera Chiara
Аннотация
Our perspective addresses one of the most pressing and timely debates in contemporary neurology and health policy: whether the recent approval of anti-amyloid monoclonal antibodies for Alzheimer's disease should extend to all individuals with mild cognitive impairment (MCI; a large population of tens of millions of individuals worldwide mainly represented in Countries with aged population) who test positive for amyloid biomarkers, despite wide variability in prognosis and therapeutic response and the epidemiological demonstration that only about half of them manifest symptoms of dementia. The manuscript highlights three central themes. First, while epidemiological and meta-analytic data confirm that MCI significantly increases the risk of dementia, more than half of affected individuals-many of whom are biomarker-positive for amyloid/tau-do not progress to dementia even over long- term follow-up. Second, recently approved anti-amyloid therapies, although representing a landmark in disease-modifying treatments, carry high costs, non-negligible risks (particularly amyloid-related imaging abnormalities), and uncertain long-term real-world benefits. Third, indiscriminate prescription of these agents risks exposing large numbers of subjects to unnecessary harm while placing unsustainable burdens on healthcare systems. We argue that the field should urgently move to identify and validate accurate and sustainable instruments for risk-stratified treatment pathways, integrating genetic, clinical, neuropsychological, neuroimaging, and fluid biomarker data including risk and resilience factors to refine prognostication. In addition, we call on the scientific community, journals, and policymakers to foster dialog that bridges neurology, geriatrics, bioethics, health economics, and patient advocacy, so that clinical innovation is matched by ethical responsibility and equitable implementation.