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Research on the construction of a stroke risk scoring tool for middle-aged and elderly Chinese people based on the evidence-based and empirical causal framework
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Ming-hui SHEN1, Cheng JIN2, 3, Xin-yue HAN4, Shuo-hua CHEN2, Xin-yang DUI4, Nan YANG4, Xiao-xue LIU4, Meng-jie HU4, DEJI Zhuo-ma4, Hui-fang YANG4, Yi-lin TENG4, Tian-pei MA4, Jin-yu XIAO4, Wan-ting FENG4, Shou-ling WU2, Tao ZHANG4, Jia-yuan LI4
Modern Preventive Medicine | 2025, 52(9) : 1550 - 1555
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Modern Preventive Medicine | 2025, 52(9): 1550-1555
Epidemiology and Statistical Methods
Research on the construction of a stroke risk scoring tool for middle-aged and elderly Chinese people based on the evidence-based and empirical causal framework
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Ming-hui SHEN1, Cheng JIN2, 3, Xin-yue HAN4, Shuo-hua CHEN2, Xin-yang DUI4, Nan YANG4, Xiao-xue LIU4, Meng-jie HU4, DEJI Zhuo-ma4, Hui-fang YANG4, Yi-lin TENG4, Tian-pei MA4, Jin-yu XIAO4, Wan-ting FENG4, Shou-ling WU2, Tao ZHANG4, Jia-yuan LI4
Affiliations
  • Sichuan Health Information Center, Chengdu, Sichuan 610041, China
Published: 2025-05-10 doi: 10.20043/j.cnki.MPM.202411061
Outline
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Objective

To construct a stroke risk scoring tool for middle - aged and elderly Chinese people based on meta-analysis and physical examination data from primary medical institutions.

Methods

Cohort studies on risk factors for stroke onset in the Chinese population were retrieved, and predictive factors were determined through meta-analysis. Referring to the construction method of the Framingham 10-year risk scoring tool, a stroke risk scoring tool for middle-aged and elderly Chinese people was established. The Kailuan cohort and the Hongguang physical examination cohort were used as external validation populations. Indicators such as the receiver operator characteristic (ROC) curve, sensitivity, and specificity were used to evaluate the predictive efficacy of the scoring tool.

Results

Thirty-eight studies were included in the meta-analysis, and finally 14 factors were identified as stroke predictive factors: old age, male gender, underweight, overweight, obesity, stage 1 hypertension, history of hypertension, history of diabetes, high total cholesterol, high triglycerides, low-level high-density lipoprotein, history of atrial fibrillation, family history of stroke, and current smoking. The Kailuan cohort included 137 501 people, and 2 351 cases of stroke occurred during the follow-up period. The area under the curve (AUC) was 0.74 (95%CI:0.73-0.75), the sensitivity was 0.78 (95%CI: 0.77-0.80), and the specificity was 0.59 (95%CI: 0.58-0.59). The Hongguang physical examination cohort included 7 194 subjects, and 927 people had strokes during the follow-up period. The AUC was 0.61 (95%CI: 0.59-0.63), and the sensitivity and specificity were 0.52 (95%CI: 0.50-0.56) and 0.65 (95%CI: 0.64-0.66),respectively.

Conclusion

The stroke risk scoring tool has good predictive efficacy in middle-aged and elderly people undergoing physical examinations. It has high feasibility for popularization and application in primary medical institutions, can help identify high-risk populations for stroke, and provide a basis for stroke prevention and intervention strategies.

Stroke  /  Risk prediction  /  Middle-aged and elderly
Ming-hui SHEN, Cheng JIN, Xin-yue HAN, Shuo-hua CHEN, Xin-yang DUI, Nan YANG, Xiao-xue LIU, Meng-jie HU, DEJI Zhuo-ma, Hui-fang YANG, Yi-lin TENG, Tian-pei MA, Jin-yu XIAO, Wan-ting FENG, Shou-ling WU, Tao ZHANG, Jia-yuan LI. Research on the construction of a stroke risk scoring tool for middle-aged and elderly Chinese people based on the evidence-based and empirical causal framework[J]. Modern Preventive Medicine, 2025 , 52 (9) : 1550 -1555 . DOI: 10.20043/j.cnki.MPM.202411061
Year 2025 volume 52 Issue 9
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doi: 10.20043/j.cnki.MPM.202411061
  • Receive Date:2024-11-06
  • Online Date:2026-03-17
  • Published:2025-05-10
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  • Received:2024-11-06
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    Sichuan Health Information Center, Chengdu, Sichuan 610041, China
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表12种不同金属材料的力学参数

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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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