Evidence map›Paper›PMID 37900000›Full record

ArticleKidney diseases (Basel, Switzerland)2023

Hospitalizations of Chronic Dialysis Patients: A National Study in China.

Hong Chu, Chao Yang, Yu Lin, Jingyi Wu, Guilan Kong, Pengfei Li, Luxia Zhang, Minghui Zhao, China Kidney Disease Network Work Group

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Kidney diseases (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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  4. Haemodiafiltration versus high-flux haemodialysis-a Consensus Statement from the EuDial Working Group of the ERA.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Article
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  6. Article
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

9 authors at 1 institution in 1 country.

Hong ChuRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China.
Chao YangRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China.
Yu LinDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Jingyi WuAdvanced Institute of Information Technology, Peking University, Hangzhou, China.
Guilan KongAdvanced Institute of Information Technology, Peking University, Hangzhou, China.
Pengfei LiAdvanced Institute of Information Technology, Peking University, Hangzhou, China.
Luxia ZhangRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China.
Minghui ZhaoRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China.
China Kidney Disease Network Work Group
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients receiving chronic dialysis are usually with multiple comorbidities and at high risk for hospitalization, which lead to tremendous health care resource utilization. This study aims to explore the characteristics of hospitalizations among chronic dialysis patients in China. Methods: Hospital admissions from January 2013 to December 2015 were extracted from a national inpatient database in China. Chronic dialysis, including hemodialysis and peritoneal dialysis, was identified according to inpatient discharge records and International Classification of Diseases-10 (ICD-10) codes. The primary kidney disease, causes of admissions, modalities of dialysis, and comorbidities were analyzed. Multivariable logistic regression model was used to assess the association of patient characteristics with multiple hospitalizations per year. Results: Altogether, 266,636 hospitalizations from 124,721 chronic dialysis patients were included in the study. The mean age was 54.46 ± 15.63 years and 78.29% of them were receiving hemodialysis. The leading cause of hospitalizations was dialysis access-related, including dialysis access creation (25.06%) and complications of access (21.09%). The following causes were nonaccess surgery (1.89%), cardiovascular disease (1.66%), and infectious diseases (1.43%). One-fourth of the patients were hospitalized more than once per year. Multivariate logistic regression models indicated that the primary kidney disease of diabetic kidney disease (odds ratio [OR]: 1.16, 95% confidence interval [CI]: 1.11-1.22) or hypertensive nephropathy (OR: 1.33, 95% CI: 1.27-1.40), coronary heart disease (OR: 1.09, 95% CI: 1.05-1.14), cancer (OR: 1.21, 95% CI: 1.13-1.30), or modality of peritoneal dialysis (OR: 2.67, 95% CI: 2.59-2.75) was risk factors for multiple hospitalizations. Conclusion: Our study described characteristics and revealed the burden of hospitalizations of chronic dialysis patients in China. These findings highlight the importance of effective and efficient management strategies to reduce the high burden of hospitalization in dialysis population.

Indexed as

Cause of hospitalizationsDialysis patientsHospitalizations

Identifiers

PMID37900000
PMCPMC10601956
OpenAlexW4327907105

What OpenQuestion holds

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LicenceCC BY-NC
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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.