Evidence map›Paper›PMID 41064117›Full record

ArticleFrontiers in aging neuroscience2025

Development and validation of a prognostic scoring system for cognitive decline in adults aged 50 and older in China.

Ningjie Zhang, Linglei Meng, Zhendong Qian, Ying Jin, Hua Yan

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ningjie Zhang *Department of General Practice, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Linglei Meng *Department of Neurology, Shanghai Jiangong Hospital, Shanghai, China.
Zhendong QianDepartment of General Practice, Huangpu District Dapuqiao Community Health Center, Shanghai, China.
Ying JinDepartment of General Practice, Huangpu District Dapuqiao Community Health Center, Shanghai, China.
Hua YanDepartment of General Practice, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the gradual aging of the global population, early identification and intervention are crucial for mitigating the negative impact of cognitive decline on patients and the healthcare system. This study aimed to develop and validate a prognostic scoring system for predicting cognitive decline in adults aged 50 and over in Shanghai, China. Methods: This community-based longitudinal study included 1,032 participants aged 50 and older with normal cognitive function at baseline. Of them, 986 participants were followed up for 2 years. Complete data from 864 individuals were randomly divided into derivation ( Results: Of the thirteen variables initially selected, nine (age, gender, smoking, tea drinking history, hypertension, diabetes mellitus, coronary artery disease (CAD), hyperlipidemia, cerebral hemorrhage, and decline in daily function) were included in the final model. The nomogram-based scoring system showed moderate discriminatory power, with the area under the curve (AUC) of 0.65 and 0.67 in the training and validation sets, respectively, and good calibration. Conclusion: The developed prognostic scoring system provides a practical tool for predicting cognitive decline among adults aged 50 and older in Shanghai, China. The moderate discriminatory power and good calibration suggest that the model can effectively guide early interventions. Future research should validate the model in diverse populations and explore additional risk factors to enhance its predictive accuracy.

Indexed as

aging populationChinacognitive impairmentprognosisscoring system

Identifiers

PMID41064117
PMCPMC12500704

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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.