Evidence map›Paper›PMID 39434814›Full record

ArticleJournal of Alzheimer's disease reports2024

Individualized and Biomarker-Based Prognosis of Longitudinal Cognitive Decline in Early Symptomatic Alzheimer's Disease.

Xiwu Wang, Teng Ye, Ziye Huang, Wenjun Zhou, Jie Zhang, Alzheimer’s Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease reports, 2024. 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

6 authors.

Xiwu WangDepartment of Psychiatry, Wenzhou Seventh People's Hospital, Wenzhou, China.
Teng YeDepartment of Ultrasound, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Ziye HuangDepartment of Psychiatry, Wenzhou Seventh People's Hospital, Wenzhou, China.
Wenjun ZhouResearch and Development, Hangzhou Shansier Medical Technologies Co., Ltd., Hangzhou, China.
Jie ZhangDepartment of Data Science, Hangzhou Shansier Medical Technologies Co., Ltd., Hangzhou, China.
Alzheimer’s Disease Neuroimaging Initiative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although individualized models using demographic, MRI, and biological markers have recently been applied in mild cognitive impairment (MCI), a similar study is lacking for patients with early Alzheimer's disease (AD) with biomarker evidence of abnormal amyloid in the brain. Objective: We aimed to develop prognostic models for individualized prediction of cognitive change in early AD. Methods: A total of 421 individuals with early AD (MCI or mild dementia due to AD) having biomarker evidence of abnormal amyloid in the brain were included in the current study. The primary cognitive outcome was the slope of change in Alzheimer's Disease Assessment Scale-cognitive subscale-13 (ADAS-Cog-13) over a period of up to 5 years. Results: A model combining demographics, baseline cognition, neurodegenerative markers, and CSF AD biomarkers provided the best predictive performance, achieving an overfitting-corrected R Conclusions: Our findings may be of great clinical relevance to identify individuals with early AD who are likely to experience fast cognitive deterioration in clinical practice and in clinical trials.

Indexed as

Alzheimer’s diseasecognitive declineindividualized predictionmild cognitive impairmentnomogram

Identifiers

PMID39434814
PMCPMC11491935

What Socratic 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 Socratic graph.