ArticleBMJ open2021
Analysis of multimorbidity networks associated with different factors in Northeast China: a cross-sectional analysis.
Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Social determinants of multimorbidity patterns: A systematic review.Frontiers in public health · 2023Pooled it
- Impact of intensive hypertension criteria on multimorbidity prevalence and patterns in a multi-ethnic Chinese population.Frontiers in public health · 2024Article
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Authors and funding
7 authors.
Funding
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Abstract
objectivesThis study aimed to identify and study the associations and co-occurrence of multimorbidity, and assessed the associations of diseases with sex, age and hospitalisation duration.
designCross-sectional.
setting15 general hospitals in Jilin Province, China.
participantsA total of 431 295 inpatients were enrolled through a cross-sectional study in Jilin Province, China. PRIMARY OUTCOME MEASURES: The complex relationships of multimorbidity were presented as weighted networks.
resultsThe distributions of the numbers of diseases differed significantly by sex, age and hospitalisation duration (p<0.001). Cerebrovascular diseases (CD), hypertensive diseases (HyD), ischaemic heart diseases (IHD) and other forms of heart disease (OFHD) showed the highest weights in the multimorbidity networks. The connections between different sexes or hospitalisation duration and diseases were similar, while those between different age groups and diseases were different.
conclusionsCD, HyD, IHD and OFHD were the central points of disease clusters and directly or indirectly related to other diseases or factors. Thus, effective interventions for these diseases should be adopted. Furthermore, different intervention strategies should be developed according to multimorbidity patterns in different age groups.
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