Evidence map›Paper›PMID 35052244›Full record

ArticleHealthcare (Basel, Switzerland)2022

Phenotypic Disease Network Analysis to Identify Comorbidity Patterns in Hospitalized Patients with Ischemic Heart Disease Using Large-Scale Administrative Data.

Dejia Zhou, Liya Wang, Shuhan Ding, Minghui Shen, Hang Qiu

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 37 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

5 authors at 3 institutions in 2 countries.

Dejia ZhouBig Data Research Center, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0003-4337-2595
Liya WangBig Data Research Center, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0003-3496-6084
Shuhan DingSchool of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA.ORCID 0000-0003-1995-5088
Minghui ShenHealth Information Center of Sichuan Province, Chengdu 610041, China.ORCID 0000-0001-6266-3967
Hang QiuBig Data Research Center, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0002-5380-2870
University of Electronic Science and Technology of China · CNCornell University · USShanghai Medical Information Center · CN

Funding

Key Research and Development Project of Sichuan Province 2018SZ0114Key Research and Development Project of Sichuan Province 2019YFS0271National Natural Science Foundation of China 71661167005Science and Technology Project of Dazhou City 2020S05
6 · The paper itself

Abstract

Ischemic heart disease (IHD) exhibits elevated comorbidity. However, few studies have systematically analyzed the comorbid status of IHD patients with respect to the entire spectrum of chronic diseases. This study applied network analysis to provide a complete picture of physical and mental comorbidities in hospitalized patients with IHD using large-scale administrative data. Hospital discharge records from a provincial healthcare database of IHD inpatients (

Indexed as

comorbidityischemic heart diseasemental comorbiditynetwork analysisphenotypic disease networkphysical comorbidity

Identifiers

PMID35052244
PMCPMC8775672
OpenAlexW4206363787

What Socratic 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 Socratic graph.