Evidence map›Paper›PMID 42725220›Full record

ArticleAnnals of medicine and surgery (2012)2026

Before the bolus: why anti-amyloid therapy must become part of every stroke code.

Abdul S Khaliq, Kaleem Khan

Abstract readEditorial
In one paragraph

Article in Annals of medicine and surgery (2012), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Abdul S KhaliqTrauma and Emergency Department, Jinnah Hospital, Lahore, Pakistan.ORCID https://orcid.org/0009-0006-2128-1181
Kaleem KhanDepartment of Surgery, Balkh University, Mazar-i-Sharif, Balkh, Afghanistan.ORCID https://orcid.org/0009-0006-7747-2745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-amyloid monoclonal antibodies provide disease-modifying treatment options for selected patients with early symptomatic Alzheimer disease, but introduce new challenges for acute stroke care. Amyloid-related imaging abnormalities (ARIA) are often asymptomatic; however, symptomatic ARIA may cause aphasia, focal weakness, visual disturbance, confusion, headache, or seizures, and can resemble acute ischemic stroke. Initial noncontrast computed tomography may be nondiagnostic in both conditions, and failure to identify anti-amyloid exposure can complicate time-sensitive reperfusion decisions. Current regulatory guidance advises caution when considering thrombolytic therapy because serious and fatal intracerebral hemorrhage has been reported, although the absolute risk and a safe interval following anti-amyloid administration remain uncertain. Conversely, attributing every acute neurological deficit to ARIA could delay effective reperfusion for a true ischemic stroke. This editorial examines the clinical and imaging features relevant to this diagnostic overlap and proposes a systems-based response involving reliable medication identification, rapid vascular imaging, targeted magnetic resonance imaging, specialist collaboration, and separate consideration of intravenous thrombolysis and mechanical thrombectomy. Anti-amyloid exposure should be recognized as time-critical information during stroke evaluation. The objective is not automatic exclusion from reperfusion, but an individualized approach that minimizes avoidable hemorrhagic harm while preserving appropriate treatment for confirmed cerebral ischemia.

Indexed as

acute ischemic strokeamyloid-related imaging abnormalityanti-amyloid immunotherapyintravenous thrombolysismechanical thrombectomy

Identifiers

PMID42725220
PMCPMC13561283

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.