Evidence map›Paper›PMID 38093264›Full record

ArticleBMC medicine2023

Exploring multimorbidity profiles in middle-aged inpatients: a network-based comparative study of China and the United Kingdom.

Yining Bao, Pengyi Lu, Mengjie Wang, Xueli Zhang, Aowei Song, Xiaoyun Gu, Ting Ma, Shu Su, Lin Wang, Xianwen Shang and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% of its field
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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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

18 authors at 9 institutions in 3 countries.

Yining BaoChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China.
Pengyi LuChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China.
Mengjie WangChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China.
Xueli ZhangMedical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Aowei SongDepartment of Transfusion Medicine, Shaanxi Provincial People's Hospital, 256 Youyi West Road, Xi'an, 710068, China.
Xiaoyun GuDepartment of Information Technological, Shaanxi Health Information Center, Xi'an, China.
Ting MaDepartment of Transfusion Medicine, Shaanxi Provincial People's Hospital, 256 Youyi West Road, Xi'an, 710068, China.
Shu SuClinical Research Management Office, The Second Affiliated Hospital of ChongQing Medical University, Chongqing, China.
Lin WangAIM Lab, Faculty of IT, Monash University, Melbourne, VIC, Australia.
Xianwen ShangRoyal Melbourne Hospital, University of Melbourne, Melbourne, VIC, Australia.
Zhuoting ZhuCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC, Australia.
Yuhang ZhaiGies College of Business, University of Illinois Urbana-Champaign, Champaign, IL, USA.
Mingguang HeCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC, Australia.
Zengbin LiChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China.
Hanting LiuChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China.
Christopher K FairleyMelbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia.
Jiangcun YangDepartment of Transfusion Medicine, Shaanxi Provincial People's Hospital, 256 Youyi West Road, Xi'an, 710068, China. yjc65@sina.com.
Lei ZhangChina-Australia Joint Research Center for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, China. lei.zhang1@monash.edu.ORCID 0000-0003-2343-084X
Xi'an Jiaotong University · CNMelbourne Sexual Health Centre · AUShanxi Medical University · CNThe University of Melbourne · AUDalian Medical University · CNGuangdong Academy of Medical Sciences · CNHarbin Engineering University · CNThe Royal Melbourne Hospital · AUUniversity of Illinois Urbana-Champaign · US

Funding

Epidemiology modeling and risk assessment 20200344National Key R&D Program of China 2022YFC2505100National Key R&D Program of China 2022YFC2505103Outstanding Young Scholars Support Program 3111500001Xi'an Jiaotong University Young Scholar Support Grant YX6J004
6 · The paper itself

Abstract

backgroundMultimorbidity is better prevented in younger ages than in older ages. This study aims to identify the differences in comorbidity patterns in middle-aged inpatients from China and the United Kingdom (UK).

methodsWe utilized 184,133 and 180,497 baseline hospitalization records in middle-aged populations (40-59 years) from Shaanxi, China, and UK Biobank. Logistic regression was used to calculate odds ratios and P values for 43,110 unique comorbidity patterns in Chinese inpatients and 21,026 unique comorbidity patterns in UK inpatients. We included the statistically significant (P values adjusted by Bonferroni correction) and common comorbidity patterns (the pattern with prevalence > 1/10,000 in each dataset) and employed network analysis to construct multimorbidity networks and compare feature differences in multimorbidity networks for Chinese and UK inpatients, respectively. We defined hub diseases as diseases having the top 10 highest number of unique comorbidity patterns in the multimorbidity network.

resultsWe reported that 57.12% of Chinese inpatients had multimorbidity, substantially higher than 30.39% of UK inpatients. The complete multimorbidity network for Chinese inpatients consisted of 1367 comorbidities of 341 diseases and was 2.93 × more complex than that of 467 comorbidities of 215 diseases in the UK. In males, the complexity of the multimorbidity network in China was 2.69 × more than their UK counterparts, while the ratio was 2.63 × in females. Comorbidities associated with hub diseases represented 68.26% of comorbidity frequencies in the complete multimorbidity network in Chinese inpatients and 55.61% in UK inpatients. Essential hypertension, dyslipidemia, type 2 diabetes mellitus, and gastritis and duodenitis were the hub diseases in both populations. The Chinese inpatients consistently demonstrated a higher frequency of comorbidities related to circulatory and endocrine/nutritional/metabolic diseases. In the UK, aside from these comorbidities, comorbidities related to digestive and genitourinary diseases were also prevalent, particularly the latter among female inpatients.

conclusionsChinese inpatients exhibit higher multimorbidity prevalence and more complex networks compared to their UK counterparts. Multimorbidity with circulatory and endocrine/nutritional/metabolic diseases among both Chinese and UK inpatients necessitates tailored surveillance, prevention, and intervention approaches. Targeted interventions for digestive and genitourinary diseases are warranted for the UK.

Indexed as

Diabetes Mellitus, Type 2Metabolic DiseasesUrogenital DiseasesChinaComorbidityFemaleHumansInpatientsMaleMiddle AgedMultimorbidityPrevalenceUnited KingdomChinaComorbidityInpatientsMiddle-agedMultimorbidityNetwork analysisUnited Kingdom

Identifiers

PMID38093264
PMCPMC10720230
OpenAlexW4389670774

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Registered trials

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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.