Evidence map›Paper›PMID 40391208›Full record

ArticleGeneral psychiatry2025

Findings from a social media listening study on Chinese patients with Alzheimer's disease: a content analysis.

Nan Zhi, Yongtian Zhang, Wenwei Cao, Jinwen Xiao, Jianping Li, Haixia Li, Xinyi Xie, Rujing Ren, Jieli Geng, Gang Wang

Abstract read
In one paragraph

Article in General psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Nan ZhiDepartment of Neurology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-1854-0940
Yongtian ZhangDepartment of China Drug Development, Lundbeck (Beijing) Pharmaceutical Consulting Co, Beijing, China.ORCID 0009-0009-9491-2716
Wenwei CaoDepartment of Neurology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0009-0009-0526-9926
Jinwen XiaoDepartment of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0009-0000-6083-2384
Jianping LiDepartment of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0009-0002-2555-5742
Haixia LiDepartment of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-4862-8302
Xinyi XieDepartment of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0009-0001-2678-1074
Rujing RenDepartment of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0009-0000-5941-4783
Jieli GengDepartment of Neurology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0009-0004-0096-3402
Gang WangDepartment of Neurology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0001-6500-5863

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Social media listening is a new approach for gathering insights from social media platforms about users' experiences. This approach has not been applied to analyse discussions about Alzheimer's disease (AD) in China. Aims: We aimed to leverage multisource Chinese data to gain deeper insights into the current state of the daily management of Chinese patients with AD and the burdens faced by their caregivers. Methods: We searched nine mainstream public online platforms in China from September 2010 to March 2024. Natural language processing tools were used to identify patients and caregivers, and categorise patients by disease stage for further analysis. We analysed the current state of patient daily management, including diagnosis and treatment, choice of treatment scenarios, patient safety and caregiver concerns. Results: A total of 1211 patients with AD (66% female, 82% aged 60-90) and 756 caregivers for patients with AD were identified from 107 556 online sources. Most patients were derived from online consultation platforms (43%), followed by bulletin board system platforms (24%). Among the patients categorised into specific disease stages (n=382), 42% were in the moderate stage. The most frequent diagnostic tools included medical history (97%) and symptoms (84%). Treatment options for patients with AD primarily included cholinesterase inhibitors, N-methyl-D-aspartate receptor antagonists and antipsychotics. Both quantitative and qualitative analysis of patients who experienced wandering (n=92) indicated a higher incidence of wandering during the moderate stage of the disease. Most caregivers were family members, with their primary concerns focusing on disease management and treatment (90%), followed by daily life care (37%) and psychosocial support (25%). Conclusions: Online platform data provide a broad spectrum of real-world insights into individuals affected by AD in China. This study enhances our understanding of the experiences of patients with AD and their caregivers, providing guidance for developing personalised interventions, providing advice for caregivers and improving care for patients with AD.

Indexed as

cognition disorders

Identifiers

PMID40391208
PMCPMC12086894

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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.