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Record W7117253787 · doi:10.1002/alz70858_097342

Understanding the burden experienced by patients with mild cognitive impairment due to Alzheimer's disease and dementia due to Alzheimer's disease at different stages of disease severity in a real‐world setting

2025· article· en· W7117253787 on OpenAlexaboutno aff
RIYA ARORA, Niels Juul Brogaard, Kristian Steen Frederiksen, Nikolaos Scarmeas, Sarah Cotton, Chloe J. Walker

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaDiseaseCognitive impairmentFunctional impairmentIntervention (counseling)FeelingCognitionAlzheimer's disease

Abstract

fetched live from OpenAlex

BACKGROUND: People with Alzheimer's Disease (AD) inevitably progress from preclinical stage, to experiencing mild cognitive impairment (MCI) to dementia. Our aim was to characterise the burden experienced by patients, delineated by disease severity. METHOD: Data were drawn from the Adelphi Real World AD Disease Specific Programme™, a cross-sectional survey of physicians and their patients with MCI due to AD or dementia due to AD (clinically diagnosed or biomarker confirmed) in Canada, France, Germany, Italy, Spain, the United Kingdom, Japan and the United States between December 2022 - March 2024. Physicians were asked to report data on demographics and symptoms for their next nine consecutively consulting patients, followed by one patient with a biomarker-confirmed MCI due to AD diagnosis. Patients self-reported the impact of disease on their lifestyle and responses were grouped by theme. Data was analysed by disease severity according to the patient's current Mini-Mental State Examination (MMSE) score. Analyses were descriptive. RESULT: Overall, 829 physicians reported data on 4202 patients (10.3% with an MMSE of 26-30, 37.8% 21-25, 46.7% 11-20, 5.3% 0-10). In total, 558 patients with an MMSE between 11-30 self-reported data. Overall, patients had a mean (standard deviation) age of 75.5 (8.2) years and 50.3% were male. Physicians reported that functional impairment of activities were experienced by 34.6%, 62.2%, 81.0% and 90.1% of patients with an MMSE of 26-30, 21-25, 11-20 and 0-10, respectively; and behavioural symptoms by 44.5%, 65.3%, 77.3% and 86.1% of patients. Most frequently experienced symptoms included impairment of short-term memory (86.1% of patients with an MMSE of 26-30; 85.4% 21-25; 87.8% 11-20; 95.5% 0-10), difficulties in concentration (36.9%; 47.6%; 56.2%; 74.9%) and difficulty recalling names/words (35.0%; 41.4%; 52.5%; 66.8%). Patients reported experiencing greater isolation (54.2% of patients with an MMSE of 26-30; 62.0% 21-25; 74.5% 11-20) and lower self-esteem/confidence (55.9%; 63.7%; 54.5%) since receiving their diagnosis. CONCLUSION: Impairment across cognitive, functional and behavioural symptoms/abilities are experienced by patients with MCI due to AD and dementia due to AD, irrespective of disease severity. Patients report isolation and feelings of lower self-esteem after diagnosis. Early intervention to slow disease progression is important to decrease patient burden.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.307
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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