Evidence map›Paper›PMID 41346757›Full record

ArticleFrontiers in public health2025

Information quality assessment and content analysis of dementia prevention on WeChat: a cross-sectional study.

Yashi Lin, Zhouxin Li, Kairou Zhang, Gang Liu, Ruiyu Huang, Yanxia Guo, Xiaofang Yang, Baolu Zhang

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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

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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

8 authors.

Yashi LinDepartment of Nursing, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Zhouxin LiDepartment of Nursing, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Kairou ZhangDepartment of Nursing, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Gang LiuDepartment of Orthopedics and Center for Orthopedic Diseases Research, Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China.
Ruiyu HuangSchool of Continuing Education, Guiyang Healthcare Vocational University, Guiyang, China.
Yanxia GuoFaculty of Nursing and Midwifery, Jiangsu College of Nursing, Huai'an, China.
Xiaofang YangGuiyang Maternal and Child Health Care Hospital, Guiyang, China.
Baolu ZhangSchool of Nursing, Southwest Medical University, Luzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to evaluate the information quality and content of dementia prevention on WeChat. Methods: The search term "dementia prevention" was used on WeChat, resulting in 125 samples being included. Information quality was assessed using GQS and PEMAT-P. The content was evaluated based on dementia prevention guidelines and article characteristics. Results: Information quality was moderate (median 3.0), with high understandability and actionability. Most articles were published by medical institutions (37.6%), but governmental organizations achieved the highest scores ( Conclusion: Overall, the information quality of dementia prevention on WeChat was medium, with high understandability and actionability but low content completeness. Articles with more complete content and fewer advertisements have better information quality. It is recommended that publishers provide more complete articles, while platforms should strengthen advertisement supervision.

Indexed as

Data AccuracyDementiaCross-Sectional StudiesHumanscontent analysisdementia preventionhealth informationinformation qualityWeChat

Identifiers

PMID41346757
PMCPMC12672899

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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.