Cited by 83Alzheimer's disease research and treatmentsDementia and Cognitive Impairment ResearchCholinesterase and Neurodegenerative Diseases

Preparing for disease-modifying therapies in Alzheimer's disease

Open access
Belder, Christopher R S, Schott, Jonathan M, Fox, Nick C·2023·The Lancet Neurology

Integrity signals

Registry

Crossref · 10.1016/s1474-4422(23)00274-0

Cites

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Claims other papers make about this one

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  • Distinguishing between FCD and MCI is of significant clinical importance especially as disease modifying drugs for Alzheimer's disease are becoming available and are aimed at those with early symptoms.

    “Distinguishing between FCD and MCI is also of significant clinical importance especially as disease modifying drugs for Alzheimer's disease are becoming available and are aimed at those with early symptoms (39).”

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Authors
Belder, C. R. S., Schott, J. M., & Fox, N. C.
Venue
The Lancet Neurology
Publisher
Elsevier BV
Published
2023-09
Volume
22
Issue
9
Pages
782-783
ISSN
1474-4422 (ISSN-L)
OpenAlex
W4384432345
Cited by
83
References
0
Citations by year
2026: 26 · 2025: 37 · 2024: 15 · 2023: 5
FWCI
14.75
Type
journal article
Language
en
Open access
Locations
  • The Lancet Neurology (publishedVersion)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
Funders
Rosetrees Trust (M668-CD1)
Topics
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Pharmacology › Cholinesterase and Neurodegenerative Diseases
Keywords
Alzheimer's disease, disease-modifying therapy, lecanemab, donanemab, anti-amyloid monoclonal antibodies, amyloid plaques, accelerated FDA approval, equitable access to treatment
MeSH terms
Alzheimer Disease, Brain, Humans

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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