Evidence map›Paper›PMID 42589569›Full record

ArticleInternational journal of molecular sciences2026

CellSwarm-AD: A Multi-Scale Agent-Based Framework for Virtual Alzheimer's Disease Trials.

Chun-Lin Tan, Xiang-Mei Zheng, Yun-Fei Zhu, Quan-Quan Xiong, Han Li, Xuan-Lin Meng

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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

6 authors.

Chun-Lin TanState Key Laboratory of Southwestern Chinese Medicine Resources, Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Xiang-Mei ZhengState Key Laboratory of Southwestern Chinese Medicine Resources, Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Yun-Fei ZhuState Key Laboratory of Southwestern Chinese Medicine Resources, Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Quan-Quan XiongState Key Laboratory of Southwestern Chinese Medicine Resources, Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Han LiState Key Laboratory of Southwestern Chinese Medicine Resources, Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Xuan-Lin MengDepartment of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Naval Medical University, Shanghai 200433, China.ORCID 0000-0002-9968-2069

Funding

China Postdoctoral Science Foundation 2024M750284China Postdoctoral Science Foundation 2025T180738National Natural Science Foundation of China 32400068
6 · The paper itself

Abstract

Computational models of Alzheimer's disease (AD) rarely connect cellular heterogeneity, spatial tissue organization, pathology cascades, and pharmacological intervention within one auditable workflow. We present CellSwarm-AD, a four-layer framework comprising five cell agent classes, a spatial Aβ diffusion environment, an Aβ-Ca

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesComputer SimulationDonepezilHumansMemantineAmyloid beta-PeptidesDonepezilMemantineagent-based modelingAlzheimer’s diseasepharmacokinetics/pharmacodynamicsreproducibilityspatial diffusionvirtual clinical trial

Identifiers

PMID42589569
PMCPMC13467131

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.