Evidence map›Paper›PMID 32168832›Full record

ArticleInternational journal of environmental research and public health2020

Multimorbidity Analysis of 13 Systemic Diseases in Northeast China.

Jianxing Yu, Fangying Song, Yingying Li, Zhou Zheng, Huanhuan Jia, Yuzhe Sun, Lina Jin, Xihe Yu

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
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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

8 authors at 1 institution in 1 country.

Jianxing YuSocial Medicine and Health Service Management, School of Public Health, No. 1163 Xinmin Street, Jilin University, Changchun 130021, Jilin, China.
Fangying SongSocial Medicine and Health Service Management, School of Public Health, No. 1163 Xinmin Street, Jilin University, Changchun 130021, Jilin, China.
Yingying LiSocial Medicine and Health Service Management, School of Public Health, No. 1163 Xinmin Street, Jilin University, Changchun 130021, Jilin, China.
Zhou ZhengSocial Medicine and Health Service Management, School of Public Health, No. 1163 Xinmin Street, Jilin University, Changchun 130021, Jilin, China.
Huanhuan JiaSocial Medicine and Health Service Management, School of Public Health, No. 1163 Xinmin Street, Jilin University, Changchun 130021, Jilin, China.
Yuzhe SunSocial Medicine and Health Service Management, School of Public Health, No. 1163 Xinmin Street, Jilin University, Changchun 130021, Jilin, China.
Lina JinEpidemiology and Biostatistics, School of Public Health, No. 1163 Xinmin Street, Jilin University, Changchun 130021, Jilin, China.
Xihe YuSocial Medicine and Health Service Management, School of Public Health, No. 1163 Xinmin Street, Jilin University, Changchun 130021, Jilin, China.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultimorbidity not only affects the quality of patients' lives, but can also bring a heavy economic burden to individuals, families and society. The purpose of this study was to reveal the connections between diseases, especially the important role each disease played in the entire multimorbidity network.

methodsA total of 1,155,734 inpatients were enrolled through multistage stratified random sampling in Jilin Province in 2017. Categorical variables were compared using the Rao-Scott-χ2 test. Weighted networks were adopted to present the complex relationships of multimorbidity.

resultsThe distributions of the number of diseases differed significantly by gender, age and health insurance scheme (

conclusionsMultimorbidity with respiratory system diseases in young people should not be overlooked. Additionally, effective prevention efforts that target endocrine, nutritional and metabolic diseases and circulatory system diseases are needed in middle aged and old people.

Indexed as

MultimorbidityAdolescentAdultAgedAged, 80 and overCardiovascular DiseasesChildChild, PreschoolChinaChronic DiseaseComorbidityCross-Sectional StudiesEndocrine System DiseasesFemaleHumansInfantmultimorbiditysystemic diseasesweighted networks

Identifiers

PMID32168832
PMCPMC7142480
OpenAlexW3012122183

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.